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Data Analytics Data Analyst

Transforms complex datasets into actionable insights by designing BI dashboards, conducting advanced analytics, and supporting cross-functional teams with data-driven recommendations.

Mid Posted about 3 hours ago RemoteOK Dev
What this role involves
We're looking for a detail-oriented and strategic Data Analyst to join our data-driven team. You'll transform complex datasets into clear, actionable insights that drive performance improvements across the business. This role requires strong analytical capabilities, technical proficiency in data tools, and the ability to clearly communicate insights to both technical and non-technical audiences.

Key Responsibilities:

  • Design, Develop, and Maintain BI Dashboards & Templates:
    • Design, develop, and optimize dashboards using Power BI, Looker Studio, Tableau, or similar tools
    • Create interactive reports that translate productivity data into operational insights for ActivTrak customers
    • Support data integration with third-party systems to enhance reporting capabilities
  • Data Quality Control:
    • Partner with engineers to validate data accuracy, integrity, and consistency
    • Implement data validation processes to maintain high-quality analytical outputs
  • Perform Advanced Analytics
    • Conduct deep analysis of workforce and productivity trends using SQL and Python
    • Deliver data-driven recommendations that empower customers to optimize performance and decision-making
  • Facilitate Internal Ad-hoc Data Requests:
    • Support cross-functional teams (HR, Operations, Product) by querying key datasets from Google BigQuery
    • Ensure timely and accurate responses to ad-hoc data needs
  • Enhance Productivity Metrics:
    • Collaborate on the development and refinement of productivity measurement frameworks
    • Align metrics with evolving business goals and customer needs

Requirements

Skills & Experience:

  • Bachelor's degree in a quantitative field such as Data Analytics, Business Analytics, Statistics, Mathematics, Economics, Computer Science, or a related discipline
  • Minimum 3 years of experience in:
    • SQL (advanced queries and optimization)
    • BI tools (Tableau, Power BI w/ DAX & PowerQuery, Looker Studio, or Qlik)
    • Python
    • API Integrations
    • Data analysis, metrics development, and cross-functional reporting
    • ETL and Data Warehousing
    • AppScripts & PowerShell
  • Hands-on experience with Google BigQuery and Google Cloud Platform
  • Strong storytelling and communication skills to influence stakeholders at all levels
  • Self-starter with a growth mindset and attention to detail
  • Excellent communication skills with both technical and non-technical audiences
  • Ability to deal with ambiguity and collaborate with different teams towards mutual goals
  • Motivated by an interest in developing the best possible solutions

Preferred

  • Experience in Workforce Analytics

Benefits

Work environment

  • Competitive compensation and benefits
  • Position is remote within US
  • Minimal travel
  • Limited physical demands

This is an incredible opportunity to embark on an exciting journey with a dynamic, VC-backed company. If you have a proven track record of creative thinking, a drive for learning, and a deep commitment to collaboration, we want to talk to you!

ActivTrak is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. ActivTrak does not discriminate on the basis of race, color, religion, sex, national origin, political affiliation, sexual orientation, marital status, disability, age, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
Read the full description
Data Analytics Senior Business Analyst, Actimize at NiCE

Senior Business Analyst translates business and data requirements for AML/fraud detection solutions, defining functional specs, data mappings, and acceptance criteria across cross-functional teams.

Senior Posted about 18 hours ago RemoteFirstJobs Product
What this role involves

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

So, what’s the role all about?

We are looking for a talented and motivated Senior Business Analyst (AML / IFM) to join our NICE Actimize Professional Services team in Pune. In this role, you will work closely with Product Management, R&D, Architecture, and customer stakeholders to translate business needs into detailed functional and data-driven requirements.

You will play a critical role in implementing leading financial crime and compliance solutions, helping global organizations detect and prevent money laundering and fraud using advanced analytics and AI-driven platforms.

If you are passionate about understanding data, defining business logic, and delivering impactful fintech solutions, this role offers an exciting opportunity to work on high-scale, mission-critical systems.

How will you make an impact?

You will collaborate with cross-functional teams and customers to deliver robust AML/Fraud solutions by:

  • Working with Project Managers, Architects, Product Managers, R&D teams, and third-party vendors to understand high-level design and translate it into detailed requirements.

  • Defining detailed functional requirements including:

    • Source-to-target mappings
    • Transformation rules
    • Business logic
    • Data integration requirements
  • Defining non-functional requirements such as performance, scalability, and serviceability.

  • Interfacing with customers to understand data requirements and supporting product implementation in client environments.

  • Facilitating communication across teams and ensuring alignment between product, engineering, and customer needs.

  • Creating and prioritizing user stories with Product Management and Engineering teams.

  • Defining clear acceptance criteria based on product usage and business scenarios.

  • Conducting internal product demos and supporting stakeholder demo activities.

  • Defining functional test considerations for user stories and ensuring quality delivery.

  • Supporting Customer Support, Product, and Presales teams in resolving product-related queries.

  • Providing product improvement recommendations aligned with strategic goals.

Have you got what it takes?

  • 4–8 years of relevant experience as a Business Analyst / Data Analyst

  • Mandatory domain experience:

    • BFSI (Banking & Financial Services)
    • AML (Anti-Money Laundering) or Fraud Prevention
  • Strong experience in:

    • Writing business use cases, scenarios, and functional test cases
    • Source-to-target data mapping and transformation rules
    • Data management and integration
    • SQL (must-have)
  • Good understanding of:

    • Data schemas, metadata, and banking interfaces
    • Data quality, validation, and integration processes
  • Experience in:

    • Converting business requirements into technical specifications
    • Agile methodologies (user stories, acceptance criteria, prioritization)
  • Strong analytical and problem-solving skills with ability to influence stakeholders

  • Excellent communication and presentation skills

  • Ability to multitask, prioritize, and work in fast-paced environments

Preferred Tools & Technologies:

  • JIRA, Aha, MS Teams
  • MS Excel, MS Access, MS Visio

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID:11223

Reporting into: Director

Role Type: Individual Contributor

About NiCE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

Read the full description
Data Analytics Business Analyst – Web Banking at Avaloq

Analyzes business requirements for web banking solutions and translates them into technical specifications while collaborating with developers and stakeholders.

Mid Onsite Posted about 18 hours ago RemoteFirstJobs Product
What this role involves

Company Description

Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 10 countries, and more than 170 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues.

We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world’s leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential.

Job Description

We are looking for a detail-oriented and analytical Business Analyst – Web Banking to join our team in Berlin, Germany. In this role, you will act as a key interface bridging the gap between business requirements and technical solutions, working collaboratively with development teams and stakeholders to deliver innovative banking solutions. You will contribute across the full software development lifecycle, from requirements analysis to solution delivery and post‑implementation support.

Your Team

As experts of Avaloq’s Web Banking solutions, we are responsible for developing and improving the corresponding modules for our clients in the German market. Following agile development processes, we take care of all aspects related to our Web Banking offering by leveraging on our Avaloq Core Platform and tailoring the product to the market demands. You will be part of an international and dynamic team of Software Developers and Business Analysts spread across several locations all over Europe.

Your mission

As a Business Analyst you take ownership and responsibility of your area of expertise which includes:

  • Analyze business requirements and processes and translate them into technical specifications
  • Design, document and communicate comprehensive business solutions for our web banking platforms
  • Participate actively in implementation workshops and client engagement sessions
  • Maintain transparent communication with clients and internal teams regarding project status and deliverables
  • Support developers to deliver thought-out solutions within the team’s responsibility addressing customer requirements

Qualifications

  • Proven track record working as a Business Analyst or significant experience within the banking or financial services industry
  • Strong analytical and problem-solving skills with the ability to think conceptually about complex business challenges
  • Excellent communication and client-orientation skills, with the ability to translate business needs into technical requirements
  • Self-motivated, proactive, and organized working approach with a demonstrated passion for continuous learning
  • Business fluency in both German and English (written and verbal)
  • Experience with requirements gathering, documentation, and stakeholder management
  • Familiarity with Agile development methodologies and iterative project approaches

It would be a bonus if you have:

  • University degree in Computer Science/Engineering/Mathematics/Economics or equivalent
  • Hands-on experience with web banking application development or testing
  • Experience with banking software solutions or core banking systems
  • Programming skills (knowledge in PL/SQL is considered a plus)

Additional Information

We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices.

In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self.

We hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way.

Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations.

Read the full description
Data Analytics Product Data Science (Data Labs) at Similarweb

Builds custom data reports and insights from raw datasets using SQL and Python, partnering with clients and engineering teams to deliver strategic data products.

Mid Posted about 18 hours ago RemoteFirstJobs Product
What this role involves

At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.

Our unique data and solutions empower over 5,700 customers globally, including industry giants like Google, Meta, and OpenAI, to make game-changing decisions that drive their digital strategies. In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical, and good people.

About the Role

We’re looking for a sharp and driven Data Analyst to join our fast - paced Data Labs team. As part of a high-performing group of analysts, you’ll handle complex, custom requests from some of the biggest names in the market, turning raw data into strategic, ad hoc insights. The work is intense and constantly evolving - it requires strong analytical skills and the ability to work independently under pressure. You’ll need to be curious, adaptable, and willing to dive deep to find answers where others might stop. If you thrive in a demanding environment and are excited by the opportunity to make a real impact, we want you on our team.

What does the day-to-day of a Product Data Science (Data Labs) at Similarweb look like:

  • Building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery.
  • Apply your expertise in quantitative analysis and data mining to turn data into insights.
  • Conduct research and develop tools which will help answer client’s’ business. questions by using Similarweb’s raw data sets and algorithms.
  • Partner with Engineering teams to establish an infrastructure to scale solutions.
  • Partner with Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly

This is the perfect job for someone who has:

  • At least 2 years experience with SQL/pySpark for data analysis - Must
  • Experience in Python scripting - Must
  • Excellent verbal and communication skills in English - Must
  • AWS Infrastructure experience - Big Advantage
  • Working with clients - Big Advantage.
  • Proficiency in Online Marketing/Online Services - Advantage
  • At least 2 years work experience in Online/Tech Company - Advantage
  • Team player, autodidact, fast learner with excellent analytical, research and business skills.
  • Demonstrates initiative and a proactive mindset -Must
  • Experienced in independently managing complex projects from start to finish.
  • Have a Bachelor’s in Statistics, Computer Science, Engineering, or related field.
  • Master’s degree - Big Advantage.

Why you’ll love being a Similarwebber:

You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world.

You’ll find a home for your big ideas: We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization.

We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours.

You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here.

Diversity isn’t just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. We believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day.

#LI-KZ #LI-Hybrid

We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here.

Read the full description
Data Analytics Senior Business Analyst, Actimize at NiCE

Senior Business Analyst translates business and data requirements for AML/fraud detection solutions, working with cross-functional teams to define functional specs, mappings, and acceptance criteria.

Senior Posted about 18 hours ago RemoteFirstJobs Product
What this role involves

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

So, what’s the role all about?

We are looking for a talented and motivated Senior Business Analyst (AML / IFM) to join our NICE Actimize Professional Services team in Pune. In this role, you will work closely with Product Management, R&D, Architecture, and customer stakeholders to translate business needs into detailed functional and data-driven requirements.

You will play a critical role in implementing leading financial crime and compliance solutions, helping global organizations detect and prevent money laundering and fraud using advanced analytics and AI-driven platforms.

If you are passionate about understanding data, defining business logic, and delivering impactful fintech solutions, this role offers an exciting opportunity to work on high-scale, mission-critical systems.

How will you make an impact?

You will collaborate with cross-functional teams and customers to deliver robust AML/Fraud solutions by:

  • Working with Project Managers, Architects, Product Managers, R&D teams, and third-party vendors to understand high-level design and translate it into detailed requirements.

  • Defining detailed functional requirements including:

    • Source-to-target mappings
    • Transformation rules
    • Business logic
    • Data integration requirements
  • Defining non-functional requirements such as performance, scalability, and serviceability.

  • Interfacing with customers to understand data requirements and supporting product implementation in client environments.

  • Facilitating communication across teams and ensuring alignment between product, engineering, and customer needs.

  • Creating and prioritizing user stories with Product Management and Engineering teams.

  • Defining clear acceptance criteria based on product usage and business scenarios.

  • Conducting internal product demos and supporting stakeholder demo activities.

  • Defining functional test considerations for user stories and ensuring quality delivery.

  • Supporting Customer Support, Product, and Presales teams in resolving product-related queries.

  • Providing product improvement recommendations aligned with strategic goals.

Have you got what it takes?

  • 4–8 years of relevant experience as a Business Analyst / Data Analyst

  • Mandatory domain experience:

    • BFSI (Banking & Financial Services)
    • AML (Anti-Money Laundering) or Fraud Prevention
  • Strong experience in:

    • Writing business use cases, scenarios, and functional test cases
    • Source-to-target data mapping and transformation rules
    • Data management and integration
    • SQL (must-have)
  • Good understanding of:

    • Data schemas, metadata, and banking interfaces
    • Data quality, validation, and integration processes
  • Experience in:

    • Converting business requirements into technical specifications
    • Agile methodologies (user stories, acceptance criteria, prioritization)
  • Strong analytical and problem-solving skills with ability to influence stakeholders

  • Excellent communication and presentation skills

  • Ability to multitask, prioritize, and work in fast-paced environments

Preferred Tools & Technologies:

  • JIRA, Aha, MS Teams
  • MS Excel, MS Access, MS Visio

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID:11223

Reporting into: Director

Role Type: Individual Contributor

About NiCE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

Read the full description
Data Analytics Senior Data Analyst at EquipmentShare

Senior Data Analyst applies statistical and operations research techniques to optimize pricing and revenue through data modeling, dashboards, and strategic recommendations for the Pricing team.

Senior Remote Posted about 18 hours ago RemoteFirstJobs Product
What this role involves

Build the Future with Us — EquipmentShare is Hiring a Senior Data Analyst

At EquipmentShare, we’re not just filling a role — we’re assembling the best team on the planet to build something that’s never been built before. We’re on a mission to transform an industry that’s been stuck in the past by empowering contractors and communities through innovative technology, real-time support, and a team that truly cares.

We’re hiring a Senior Data Analys t to support our Corporate Headquarters in Columbia, MO and we’re looking for someone who’s ready to grow with us, bring energy and drive to their work, and help us build the future of construction. As a key member of the Pricing team, you will be responsible for shaping strategic decisions through advanced modeling and analysis. You will play a crucial role in extracting actionable insights from our data to drive informed decision-making. This role is particularly focused on Pricing optimization themes within rental and used fleet sales -  modeling and conducting comprehensive analyses to optimize our processes and enhance overall efficiency. This position is fully remote.

Primary Responsibilities

  • Apply operations research methodologies to identify opportunities for process improvement and optimization, as well as maximize revenue.
  • Utilize statistical techniques to analyze large datasets and extract meaningful insights.
  • Develop and implement modeling to support business decision making based on stakeholder-driven requirements.
  • Identify key performance indicators (KPIs) and develop reports and dashboards to monitor and communicate business performance.
  • Lead strategy on complex business challenges using data driven approaches, and is prepared to defend your opinion on recommendations.
  • Produce reports and models for senior leaders and other key team members
  • Identify trends, correlations and patterns in data, and present findings to stakeholder
  • Take an active role in coaching and mentoring more junior team members

Why EquipmentShare?

Because we do things differently — and we think you’ll feel it from day one. We’re a people-first company powered by cutting-edge technology. That means our proprietary T3 platform doesn’t just run our business — it also makes your job easier, safer, and more connected. Whether you’re behind the wheel, under the hood, leading a branch, or closing deals — tech supports you, and you drive us forward.

We’re a team of problem-solvers, go-getters, and builders. And we’re looking for teammates who take pride in doing meaningful work and want to be part of building something special.

Perks & Benefits

  • Competitive compensation
  • Full medical, dental, and vision coverage for full-time employees
  • Generous PTO + paid holidays
  • 401(k) + company match
  • Gym membership stipend + wellness programs (earn PTO and prizes!)
  • Company events and food truck nights
  • 16 hours of paid volunteer time per year — give back to the community you call home
  • Career advancement, leadership training, and professional development opportunities

About You

You want to be part of a team that’s not just changing an industry for the sake of change — we’re transforming it to make it safer, more secure, and more productive. You bring grit, heart, and humility to your work, and you’re excited about the opportunity to grow within a fast-paced, mission-driven environment.

We’re looking for people who:

  • See challenges as opportunities
  • Embrace change and continuous improvement
  • Bring energy, effort, and optimism every day

Skills & Qualifications

  • ntermediate SQL & Python/R Required
  • Experience in applied statistics and communicating and presenting results to a lay audience
  • Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results
  • Strong problem solving skills
  • Detail orientated and can prioritize workload to meet project deadlines

Preferred Qualifications

  • Experience with machine learning algorithmsKnowledge of Equipment Sales and Equipment Rental Pricing concepts

Education and Experience

  • At least 6 years of experience in a data analytics role, with a focus on operations research and modeling.
  • Bachelor’s degree in Math, Engineering, Statistics, Business Intelligence or other technical field.
  • Must be qualified to work in the United States

Physical Requirements

  • Must be able to sit for prolonged periods at a desk and work on a computer.
  • Must be able to lift up to 5 pounds at times.

A Workplace For All

At EquipmentShare, we believe the best solutions come from a team that reflects the world around us. Our initiative — A Workplace For All — is rooted in the belief that we must work together to solve some of the toughest problems in construction. That means attracting, developing, and retaining great people from all walks of life.

We value different backgrounds, talents, and perspectives. We want you to feel like you belong here — because you do.

EquipmentShare is an EOE M/F/D/V.

Employment is contingent on passing a background check. Additionally, some roles require passing a drug test, depending on the job responsibilities.

Read the full description
Data Analytics Senior Business Analyst, Actimize at NiCE

Senior Business Analyst translates business and data requirements for AML/fraud detection solutions, defining functional specs, data mappings, and business logic across cross-functional teams.

Senior Posted about 18 hours ago RemoteFirstJobs Product
What this role involves

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

So, what’s the role all about?

We are looking for a talented and motivated Senior Business Analyst (AML / IFM) to join our NICE Actimize Professional Services team in Pune. In this role, you will work closely with Product Management, R&D, Architecture, and customer stakeholders to translate business needs into detailed functional and data-driven requirements.

You will play a critical role in implementing leading financial crime and compliance solutions, helping global organizations detect and prevent money laundering and fraud using advanced analytics and AI-driven platforms.

If you are passionate about understanding data, defining business logic, and delivering impactful fintech solutions, this role offers an exciting opportunity to work on high-scale, mission-critical systems.

How will you make an impact?

You will collaborate with cross-functional teams and customers to deliver robust AML/Fraud solutions by:

  • Working with Project Managers, Architects, Product Managers, R&D teams, and third-party vendors to understand high-level design and translate it into detailed requirements.

  • Defining detailed functional requirements including:

    • Source-to-target mappings
    • Transformation rules
    • Business logic
    • Data integration requirements
  • Defining non-functional requirements such as performance, scalability, and serviceability.

  • Interfacing with customers to understand data requirements and supporting product implementation in client environments.

  • Facilitating communication across teams and ensuring alignment between product, engineering, and customer needs.

  • Creating and prioritizing user stories with Product Management and Engineering teams.

  • Defining clear acceptance criteria based on product usage and business scenarios.

  • Conducting internal product demos and supporting stakeholder demo activities.

  • Defining functional test considerations for user stories and ensuring quality delivery.

  • Supporting Customer Support, Product, and Presales teams in resolving product-related queries.

  • Providing product improvement recommendations aligned with strategic goals.

Have you got what it takes?

  • 4–8 years of relevant experience as a Business Analyst / Data Analyst

  • Mandatory domain experience:

    • BFSI (Banking & Financial Services)
    • AML (Anti-Money Laundering) or Fraud Prevention
  • Strong experience in:

    • Writing business use cases, scenarios, and functional test cases
    • Source-to-target data mapping and transformation rules
    • Data management and integration
    • SQL (must-have)
  • Good understanding of:

    • Data schemas, metadata, and banking interfaces
    • Data quality, validation, and integration processes
  • Experience in:

    • Converting business requirements into technical specifications
    • Agile methodologies (user stories, acceptance criteria, prioritization)
  • Strong analytical and problem-solving skills with ability to influence stakeholders

  • Excellent communication and presentation skills

  • Ability to multitask, prioritize, and work in fast-paced environments

Preferred Tools & Technologies:

  • JIRA, Aha, MS Teams
  • MS Excel, MS Access, MS Visio

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID:11223

Reporting into: Director

Role Type: Individual Contributor

About NiCE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

Read the full description
Data Analytics Analytics Specialist

Analyzes business and consumer data to generate insights and support decision-making across the organization.

Mid Onsite Posted about 22 hours ago Jobicy AI
What this role involves
Location Sydney (Tempe) Employment type Full Time Permanent co-worker Department Business & Consumer Insights & Analytics Deadline 2026-06-26 Why you will love us From the deep forests in Sweden, we...
Read the full description
Data Analytics Analytics Engineer – Digital Media

Designs and maintains data pipelines and analytics infrastructure to support digital media reporting and business intelligence.

Mid Remote Posted about 22 hours ago Jobicy AI
What this role involves
About TruelogicAt Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of...
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Data Analytics Senior Analytics Engineer (ETL/ELT focused) – Design Marketplace

Designs and implements ETL/ELT pipelines to build and maintain data infrastructure for analytics and reporting.

Senior Remote Posted about 22 hours ago Jobicy AI
What this role involves
About TruelogicAt Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of...
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Data Analytics Senior Data Analytics Engineer – Hospitality Tech

Senior Data Analytics Engineer builds data pipelines, analyzes hospitality metrics, and creates dashboards to drive business insights.

Senior Remote Posted about 22 hours ago Jobicy AI
What this role involves
About TruelogicAt Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of...
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Data Analytics Senior Analyst, Data Analytics and Business Intelligence

Analyzes business data and creates intelligence reports to optimize logistics operations and inform strategic decisions.

Senior Posted about 22 hours ago Jobicy AI
What this role involves
Logistics at full potential. At GXO, we’re constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment...
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Data Analytics Customer Insight Analyst

Analyzes customer data and insights to inform business decisions and improve customer experience at a fintech company.

Posted about 22 hours ago Jobicy AI
What this role involves
🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our...
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Data Analytics Virtual Data Entry

Enters and organizes travel-related data into company systems and databases.

Junior Remote Posted 1 day ago RemoteOK Dev
What this role involves
Posted 11:18:02 AM. About The CompanySVH Travel Company is a distinguished provider of bespoke travel experiencesñ€©See this and similar jobs on LinkedIn.
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Data Analytics Senior Data Scientist, Growth Product at Chime

Senior Data Scientist designs and analyzes A/B tests, builds product metrics, and provides data-driven insights to guide growth product decisions and experimentation.

Senior Posted 2 days ago RemoteFirstJobs Product
What this role involves

About the role

We’re looking for a Sr. Growth Product Data Scientist to partner with our Growth Product and Engineering teams to drive measurable impact across the member journey — from acquisition to conversion through long-term retention. You’ll turn data into the decisions that shape how millions of members discover, direct deposit, and get value from Chime.

This role sits at the intersection of product, data, and experimentation. You’ll own funnels end-to-end, design and analyze A/B tests, and translate ambiguous business questions into clear, prioritized recommendations that ship.

In this role, you will work closely with product managers, design, engineers, product & lifecycle marketing, and operational stakeholders to foster a data-driven product development culture, advise our product roadmaps, and build a deep understanding of member behavior.

The base salary offered for this role and level of experience will begin at $133,000 and go up to $185,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to

  • Operate as an independent thought partner to Product, Engineering, and Design — helping shape strategy, not just measure it. You’ll proactively identify opportunities and risks, framing the right questions before they’re even asked.
  • Work with the team to develop a rich program of experimentation and A/B testing to improve member product experiences, including metric creation, experiment design, power analysis, and analysis of experiment results.
  • Drive data-informed decision making within Growth org by equipping PMs and engineers with self-service analytics tools, and conducting ad hoc analyses and causal studies for the team.
  • Use advanced statistical methods for causal inference, as well as time-series and other forecasting techniques, to solve product questions for the team. Occasionally apply machine learning methods for problems such as customer segmentation.
  • Build metrics to measure user funnels, product engagement, and retention, and use those metrics to help brainstorm potential product experiments to drive improvements in them.
  • Help the team establish high-quality eventing to allow the tracking of detailed user behaviors along customer journeys through Chime’s mobile app.
  • Develop and evolve team metrics that define what “good” looks like — ensuring that we optimize for long-term member and business value – and build operational dashboards to track business and product health.
  • Translate complex analytical findings into compelling, executive-ready narratives that inspire action and alignment across teams.
  • Develop robust data pipelines in dbt for your team, and continuously improve the quality and accessibility of customer data.

To thrive in this role, you have

  • 5-7 years of relevant hands-on experience in product or business analytics roles (FinTech a plus).
  • Expert-level SQL ability and proficiency in Python.
  • Broad knowledge of applied statistics, experimental design, and analysis of A/B tests. Demonstrated experience with machine learning techniques for applied business use cases.
  • Demonstrated experience acting as a trusted advisor to senior cross-functional partners — influencing decisions through both data and judgment.
  • A strong bias toward proactive problem discovery. You don’t wait for tickets — you explore data, spot patterns, and bring forward opportunities that meaningfully change product direction.
  • Strong business intuition and judgment, and experience applying prioritization frameworks to your work (e.g., RICE, Eisenhower matrix).
  • Exceptional data storytelling and data visualization ability. Experience with Hex and Looker
  • Familiarity with building data pipelines using tools like dbt or Airflow.
  • Familiarity with AI coding tools (such as Claude Code and Cursor).

#LI-Hybrid #LI-AM1

A little about us

At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it’s starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we’re proud to have helped millions unlock their financial potential.

We’re a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner’s mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.

We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.

We know that to achieve our mission, we must earn and keep people’s trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren’t just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.

Because if we don’t—who will?

*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.

What we offer for our full-time, regular employees

  • 🏱 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you’re coming in regularly or are part of our fully remote program, you’ll stay engaged with your work and teammates.
  • đŸ’» In-office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute
  • 💰 Competitive salary based on experience
  • ✹ 401k match plus great medical, dental, vision, life, and disability benefits
  • 🏝 Generous vacation policy and company-wide Chime Days, bonus company-wide paid days off
  • đŸ«‚ 1% of your time off to support local community organizations of your choice
  • 👟 Annual wellness stipend to use towards eligible wellness related expenses
  • đŸ‘¶ Up to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
  • đŸ‘Ș Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more.
  • 🎉 In-person and virtual events to connect with your fellow Chimers—think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too!
  • 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress

We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.

Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: benefits@chime.com.

To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice.

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Data Analytics Senior Data scientist at Gozem - Africa's Super App

Senior Data Scientist designs and deploys ML models for fraud detection, credit scoring, and risk analysis while mentoring junior team members and ensuring data governance.

Senior Posted 2 days ago RemoteFirstJobs Product
What this role involves

Founded in 2018, Gozem is today a technological group of more than 400 people, agile and ambitious, which offers via its mobile application a very wide range of services including transport, delivery, financing, mobile money and many others, to African users. Present in Benin, Togo, Gabon and Cameroon, our group’s ambition is to become “Africa’s Super App” by establishing itself throughout French speaking Africa. Our solution is 100% focused on the African market, serving drivers, customers, traders and soon, SMEs in our areas of activity.

We are a multinational group, with a strong presence in several cities and pride ourselves on helping to improve the lives of local communities through the digitalisation of the market and the introduction of technology-based efficiencies.

Are you looking to grow in a challenging and friendly environment? Do you want to evolve and progress in dynamic and disruptive digital contexts?

Join us in building a new African digital ecosystem that improves the quality of life. Together, let’s make Africa smile!

Website: http://www.gozem.co

Google Play Store: https://play.google.com/store/apps/details?id=com.gozem

Apple App Store: https://apps.apple.com/us/app/gozem/id1441247963

Glassdoor: https://www.glassdoor.fr/Avis/Gozem-Avis-E4564661.htm

What is a Senior Data Scientist at Gozem?

At Gozem, our Senior Data Scientist is a strategic role at the intersection of data science, applied machine learning, and fintech innovation. In the Gozem Money business, you will design and implement advanced models to analyze transactional and behavioral data, predict outcomes, detect risks, and unlock new growth opportunities.

This role goes beyond model-building: you will take ownership of the end-to-end data science workflow, including fetching and cleaning data from diverse sources, building scalable models, and deploying them in production. You will collaborate closely with business leaders, engineers, and product managers to translate complex datasets into actionable insights that shape financial inclusion in Sub-Saharan Africa.

As a senior member of the data team, you will also mentor junior team members, contribute to our data culture, and play a key role in ensuring insights quality, governance, and reliability across our pipelines.

Your tasks:

  • Build and deploy advanced statistical, machine learning, and AI models for use cases such as fraud detection, credit scoring, customer segmentation, churn prediction, and personalization.
  • Design and implement analytics pipelines: clean, structure, and consume raw data from our data lakehouse, and other sources.
  • Lead data-driven decision-making: collect, transform, analyze, and communicate insights that directly inform product, risk, and growth strategies.
  • Manage and deliver data science projects from conception to production, ensuring alignment with business objectives.
  • Collaborate with cross-functional teams (Product, Engineering, Operations, Finance) to translate business problems into data solutions.
  • Monitor and optimize the performance of models and pipelines, ensuring the related solutions remain reliable, fair, and scalable.
  • Mentor junior data scientists and analysts, providing guidance on best practices and methodologies.
  • Stay up-to-date with the latest advances in AI/ML, MLOps, and fintech analytics, and help integrate them into Gozem’s stack.

You are the right person for this job if you 


  • Have strong expertise in machine learning, statistical analysis, and predictive modeling, and know how to bring models from prototype to production.
  • Have hands-on experience with transactional data, financial services data, or digital payments.
  • Are comfortable with basic analytics engineering tasks: writing efficient SQL queries, cleaning large messy datasets, and automating data flows.
  • Have experience working with metadata standards, insights quality frameworks, and governance practices.
  • Are able to communicate complex technical concepts clearly to non-technical stakeholders and influence decision-making.
  • Can balance innovation with pragmatism, delivering models and insights that drive measurable business impact.
  • Thrive in a fast-paced environment, taking ownership of challenges and moving projects forward.

You have

  • Education: Bachelor’s/Master’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field.
  • Experience: 5+ years of experience in data science, preferably in fintech, banking, payments, or digital platforms.
  • Core skills: Mastery of SQL, Python, and ML frameworks (scikit-learn, TensorFlow, PyTorch).
  • Analytics engineering basics: Experience with ETL & automation tools (Airflow, Dataform, or equivalent), and handling large-scale structured/unstructured datasets.
  • Visualization: Proficiency in Looker Studio, Metabase, or other BI tools.
  • Nice-to-have skills: Knowledge of R, BigQuery, GCP, or MLOps frameworks (MLflow, Kubeflow, etc.).
  • Tools to master: Asana, Jira, Google Suite.
  • Languages: French and/or English (bilingual proficiency is a strong plus).
  • Location: Hybrid.

What we like most

  • Self-motivated, autonomous, and proactive in identifying opportunities to create value with data.
  • A natural mentor who enjoys helping others grow.
  • Detail-oriented, structured, and able to manage time efficiently in a fast-paced, multi-market environment.
  • Excited about the challenge of using data to transform financial services in Africa.

Working conditions & benefits

We offer our employees a fair, friendly and intercultural working environment, in which we strive to develop the talents of each individual. To achieve this, we offer:

🏱 Open-space offices and teleworking time possible (to be arranged with your manager)

đŸ’¶ A gross monthly remuneration defined according to our internal salary grid as well as the relevance of your past experiences for the position.

🌿 An option to buy shares in Gozem

🎁 An annual bonus allowing you to receive between 0 and 4.5 months of additional salary the following year

🚗 Benefits on our Super App for your travel and deliveries

🌐 A health and IT insurance package

And above all, the opportunity to join a young, dynamic team that has a real social impact in French-speaking Africa!

Interview process

  • An initial introductory meeting with the recruitment manager (15 minutes)
  • A written interview questionnaire
  • A business case to be completed
  • A presentation of your business case with the head of the Data team (future n+1) and a time to discuss your professional experience followed by a referral request (you give us 4 professional contacts to whom we send a questionnaire)
  • One final validation interview with one of our co-founders

FondĂ©e en 2018, Gozem est aujourd’hui un groupe technologique de plus de 400 personnes, agile et ambitieux, qui offre via son application mobile un trĂšs large panel de services incluant transport, livraison, financement, mobile money et bien d’autres aux utilisateurs Africains. PrĂ©sent au BĂ©nin, Togo, Gabon et Cameroun, notre groupe a pour ambition de devenir “Africa’s Super App” en s’implantant dans toute l’Afrique francophone.Notre solution 100% axĂ©e sur le marchĂ© Africain, dessert aussi bien les conducteurs, que les clients, les commerçants et d’ici peu, les PME dans nos zones d’activitĂ©.

Nous sommes un groupe multinational, avec une trĂšs forte prĂ©sence dans plusieurs villes et fiers de contribuer Ă  l’amĂ©lioration de vie des communautĂ©s locales grĂące Ă  la digitalisation du marchĂ© et l’introduction de gains d’efficacitĂ© basĂ©s sur la technologie.

Vous aspirez Ă  vous Ă©panouir dans un environnement stimulant et convivial ? Vous avez envie d’évoluer et de progresser dans des contextes digitaux, dynamiques et disruptifs ?

Rejoignez-nous dans la construction d’un nouvel Ă©cosystĂšme digital Africain qui amĂ©liore la qualitĂ© de vie. Ensemble, faisons sourire l’Afrique !

Website: http://www.gozem.co

Google Play Store: https://play.google.com/store/apps/details?id=com.gozem

Apple App Store: https://apps.apple.com/us/app/gozem/id1441247963

Glassdoor: https://www.glassdoor.fr/Avis/Gozem-Avis-E4564661.htm

Qu’est-ce qu’un Senior Data Scientist chez Gozem ?

Notre Senior Data Scientist sera chargĂ© de concevoir et de mettre en Ɠuvre des modĂšles capables d’analyser de grands ensembles de donnĂ©es pour rĂ©soudre diffĂ©rents problĂšmes et prĂ©dire les rĂ©sultats futurs. Il travaille en Ă©troite collaboration avec les gestionnaires d’entreprise pour comprendre leurs dĂ©fis et leurs objectifs, traduisant des donnĂ©es complexes en insights exploitables. Ce rĂŽle implique non seulement des compĂ©tences techniques en programmation et en analyse de donnĂ©es, mais aussi la capacitĂ© de communiquer efficacement les rĂ©sultats et de mentoriser les membres juniors de l’équipe. Ils jouent un rĂŽle crucial dans le processus de prise de dĂ©cision basĂ© sur les donnĂ©es au sein d’une organisation. Vous travaillerez en Ă©troite collaboration avec notre responsable des donnĂ©es et toute notre Ă©quipe de donnĂ©es. Vous surveillerez Ă©galement les plans de performance et de contrĂŽle qualitĂ© pour identifier les amĂ©liorations.

Vos responsabilités:

  • DĂ©velopper et mettre en Ɠuvre des modĂšles statistiques avancĂ©s et d’apprentissage automatique pour rĂ©soudre des problĂšmes complexes
  • Diriger le processus de prise de dĂ©cision basĂ© sur les donnĂ©es, de la collecte et de l’analyse des donnĂ©es Ă  la mise en Ɠuvre et au suivi des solutions
  • GĂ©rer les projets de science des donnĂ©es, en veillant Ă  ce qu’ils rĂ©pondent aux exigences commerciales et soient livrĂ©s dans les dĂ©lais
  • Mentorat des data scientists/analysts juniors, en leur fournissant guidance et soutien dans leur dĂ©veloppement professionnel
  • Collaborer avec des Ă©quipes interfonctionnelles pour comprendre les dĂ©fis et objectifs commerciaux, traduisant des donnĂ©es complexes en insights exploitables
  • Rester Ă  l’affĂ»t des tendances et des avancĂ©es de l’industrie en matiĂšre de science des donnĂ©es et d’apprentissage automatique, en amĂ©liorant continuellement nos mĂ©thodologies et technologies

Vous ĂȘtes la bonne personne pour ce poste si vous avez 


  • avez un Ɠil trĂšs attentif aux dĂ©tails, une expĂ©rience avĂ©rĂ©e en apprentissage automatique, en analyse statistique et en technologies de big data, ainsi qu’une comprĂ©hension approfondie des principaux outils de science des donnĂ©es
  • avez une expĂ©rience et une mĂ©thodologie dĂ©montrĂ©es dans la gestion de dĂ©fis complexes de donnĂ©es
  • ĂȘtes capable de diriger des projets de donnĂ©es de la conception au dĂ©ploiement.
  • avez une trĂšs bonne comprĂ©hension de l’adressage et de l’optimisation des normes de mĂ©tadonnĂ©es
  • ĂȘtes capable de travailler avec les parties prenantes pour Ă©valuer les risques potentiels
  • ĂȘtes capable de traduire les exigences commerciales en termes non techniques, simples
  • ĂȘtes capable de dĂ©velopper des algorithmes d’apprentissage automatique (y compris des modĂšles de segmentation et prĂ©dictifs) qui mĂšneront Ă  des solutions de science des donnĂ©es impactantes

Vous avez

  • Niveau d’éducation : Licence en informatique/mathĂ©matiques/statistiques ou toute certification pertinente liĂ©e aux donnĂ©es
  • Minimum 5 ans d’expĂ©rience professionnelle en tant que Data Scientist
  • MotivĂ©(e) par soi-mĂȘme, apprenant(e) indĂ©pendant(e) et aimant partager ses connaissances avec les membres de l’équipe
  • CompĂ©tences obligatoires : MaĂźtrise de SQL / Python / Looker
  • CompĂ©tences que nous recherchons en plus : connaissance de tout langage de programmation Âź ou d’autres outils de donnĂ©es (Airflow, etc.)
  • CompĂ©tences en communication Ă©crite et verbale de haut niveau.
  • Outils Ă  maĂźtriser : Asana, G-Suite
  • Langues : Français et/ou Anglais
  • Lieu : sur site

Ce que nous aimons le plus : Être motivĂ© par soi-mĂȘme, ĂȘtre un(e) apprenant(e) indĂ©pendant(e) et apprĂ©cier partager ses connaissances avec les membres de l’équipe, ĂȘtre orientĂ©(e) vers les dĂ©tails et ĂȘtre un(e) gestionnaire du temps efficace dans un environnement de travail dynamique et rapide.

Conditions de travail et avantages

Nous offrons à nos employés un environnement de travail juste, convivial et interculturel, dans lequel nous nous efforçons de développer les talents de chaque individu. Pour ce faire, nous offrons :

🏱 Des bureaux en open-space et la possibilitĂ© de tĂ©lĂ©travailler (Ă  organiser avec votre responsable)

đŸ’¶ Une rĂ©munĂ©ration mensuelle brute dĂ©finie selon notre grille salariale interne ainsi que la pertinence de vos expĂ©riences passĂ©es pour le poste.

🌿 Une option pour acheter des actions chez Gozem

🚗 Des avantages sur notre Super App pour vos dĂ©placements et livraisons

🌐 Un package d’assurance santĂ© et informatique

Et surtout, l’opportunitĂ© de rejoindre une Ă©quipe jeune et dynamique qui a un rĂ©el impact social en Afrique francophone !

Processus d’entretien

  • Une premiĂšre rĂ©union introductive avec le responsable du recrutement (15 minutes)
  • Un cas d’entreprise Ă  complĂ©ter
  • Une prĂ©sentation de votre cas d’entreprise avec le responsable de l’équipe de donnĂ©es (futur n+1) et un temps pour discuter de votre expĂ©rience professionnelle suivi d’une demande de rĂ©fĂ©rences (vous nous donnez 4 contacts professionnels Ă  qui nous envoyons un questionnaire)
  • Un dernier entretien de validation avec l’un de nos cofondateurs
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Data Analytics Data Scientist at TickPick

Builds and deploys machine learning models to predict business outcomes, operationalizes them in production, and collaborates with cross-functional teams to drive data-driven product decisions.

Mid Posted 2 days ago RemoteFirstJobs Product
What this role involves

Who We Are:

Same Seats. Better Prices.

Among the fastest growing technology companies, TickPick is reshaping the secondary ticket marketplace, putting money back in the wallets of live event-goers. Since inception, we have saved our customers over $55 million in service fees. Our BestPrice Guarantee backs up our promise to deliver better prices than our competition.

For the last five years, TickPick has been named a Deloitte Technology Fast 500 award winner and has landed on lists of Inc. 5000’s and Crain’s New York Business’ Fast 50.

If you are passionate about concerts, sports, or theater, and want to see your skills and experience have a direct impact on a fast growing company, TickPick is the place for you. We are building a lean, high-output engineering team committed to providing the most innovative, transparent, and cost-effective ticket marketplace in the industry.

Who You Are:

We’re looking for a Data Scientist to help our marketplace business continue to innovate and grow. An ideal candidate will have professional experience building machine learning models that are used to predict business outcomes — such as customer propensity to spend, churn prediction, price forecasting, or other relevant areas — and, just as importantly, experience operationalizing those models so they run reliably in production without becoming a maintenance burden over time.

You should have a curious mind and an interest in how a marketplace business optimizes its growth, with a vision for how to ensure innovation, transparency, and cost-effectiveness at scale. You should also be comfortable partnering with stakeholders across the business — communicating your findings, building buy-in, and seeing your work through to real production impact. If you are looking to join a growing team within a growing company that’s making data a priority, this is the role for you. You’ll have the opportunity to touch many aspects of the business.

Core Responsibilities:

  • Support the organization as we experiment with new product features and strategies, helping to forecast and understand the impact of these changes.

  • Build, deploy, and maintain machine learning models in production — operationalizing them in a sustainable, maintainable way.

  • Collaborate with product, growth, and development teams to identify opportunities to incorporate a data science approach to product / feature development, and to drive experiments and initiatives through to a decision and into production.

  • Assist with analysis of large volumes of transactional data to identify opportunities to create efficient, transparent, and low-cost marketplace interactions that drive growth.

  • BA/BS in a quantitative field such as Statistics, Computer Science, Engineering, Mathematics, or Data Science.

  • 3+ years of experience with machine learning models including development, version control, and deployment/serving of models.

  • Demonstrated experience operationalizing ML models in production — either independently or alongside an engineering team.

  • Experience working with platforms such as Snowflake and Databricks.

  • Proficient in one or more programming languages, such as Python.

  • Experience using AI tools to increase throughput for exploratory data analysis, model development, experimentation, and more.

  • Strong planning, communication, and problem-solving skills.

Strongly Desired Attributes:

  • A track record of getting stakeholder buy-in and commitment on experiments and initiatives — communicating findings clearly, addressing concerns from the business, and ensuring that the results of your efforts lead to production impact.
  • Experience with paid search and/or paid social, and with experimentation that supports growth teams in producing better user acquisition outcomes.
  • Experience working with data modeling software and on teams with data modelers.
  • Experience using analytical approaches to problem-solving with large volumes of data.

Nice to Have:

  • Experience with marketplace businesses and dynamic pricing.

  • A demonstrated interest in related areas such as marketplaces, financial markets, or other related areas (hands-on experience a plus).

  • A hybrid in-office approach, enabling remote work a portion of each week

  • Health Care Plan (Medical, Dental & Vision)

  • Retirement Plan Contribution (401k, IRA)

  • Life Insurance (Basic, Voluntary & AD&D)

  • Paid Time Off (Vacation, Sick & Holidays)

  • Family Leave (Maternity, Paternity)

  • Training & Development

  • $100 Monthly Stipend to Attend Live Events

  • Employee Outings

  • Free Lunch & Snacks

The estimated pay range for this role, based in New York City, is $105,000 - $135,000. This role will be eligible to participate in our company’s equity program. Our salary ranges are based on paying competitively for our size and industry, and are one part of many compensation, benefits, and other reward opportunities we provide.

Individual pay rate decisions are based on a number of factors, including qualifications for the role, experience level, skill set, and balancing internal equity relative to peers at the company.

The range above is for the expectations as laid out in the job description. However, we are often open to a wide variety of profiles and recognize that the person we hire may be less experienced (or more senior) than this job description as posted. If that ends up being the case, the updated salary range will be communicated to you as a candidate.

Diversity at TickPick:

At TickPick, we know that diversity of all types, in an environment that pursues equity and inclusion, strengthens our organization’s culture. When our employees are representative of the communities we serve, with diversity in demographics and a broad set of backgrounds, we provide a superior experience for both our customers and our employees. Fostering an open and supportive environment where our employees are empowered and encouraged to bring their whole selves to the table enables TickPick to thrive. The diverse approaches and collaborative problem-solving that result enable us to provide an innovative, nimble, and creative marketplace for our customers and sellers. This belief is central to who we are and what we do, and we are proud of it.

TickPick, LLC is proud to be an equal opportunity employer open to all qualified candidates regardless of race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, marital status, citizenship status, military status, protected veteran status, or any other category protected by law.

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Data Analytics Head of Growth Performance at Qonto

Leads Growth's performance measurement, strategic planning, and compensation design while managing a team of business partners to drive data-informed decisions across the organization.

Lead Posted 2 days ago RemoteFirstJobs Product
What this role involves

⭐ Mission

Join us as Head of Growth Performance to own how Qonto’s Growth organization measures and steers performance - from planning and target-setting to measurement adoption, analysis, and team incentives.

You’ll act as Growth’s trusted business partner - helping teams understand the story behind their numbers, make faster decisions, and steer performance in the right direction. You’ll lead a team of specialized business partners, each a senior expert in their domain (acquisition, marketing, sales, partnerships
).

đŸ‘©â€đŸ’»đŸ§‘â€đŸ’»Â As a Head of Growth Performance at Qonto, you will

  • Run Growth’s performance operating rhythm: steer performance reviews (weekly, monthly, quarterly), bring a clear narrative on performance, and drive follow-ups through to action and decisions.
  • Lead strategic planning for Growth: own bottom-up budgeting and target-setting for the entire Growth department, in close partnership with Strategic Finance.
  • Design Growth compensation: build and implement variable pay plans for Sales and other Growth functions, ensuring incentives drive the right behaviors for Qonto’s P&L. Partner with HR and Finance to keep them fair and sustainable.
  • Act as the guardian of Growth’s operational measurement stack: define measurement standards across Growth and ensure adoption - from KPI definitions to attribution frameworks and reporting infrastructure.
  • Lead and develop a senior team: lead four specialists, each owning a distinct Growth perimeter. Set direction, develop careers, and raise the bar on the team’s output and influence.

đŸ€” What you can expect:

  • Your work informs decisions at the top: your team’s output drives marketing budget allocation, sales compensation design, and strategic priorities for the entire Growth department.
  • A fast start: Budget 2027 planning begins in September and runs through December. There’s no slow ramp - you’ll be leading this exercise within your first few months, in close collaboration with Finance.
  • An AI agenda that’s real: automating reports, business cases, and performance steering through AI is already on the roadmap. You’ll help define how it gets done.
  • A team of specialists who run their own perimeters: your direct reports are senior profiles who don’t need day-to-day direction. The management challenge is developing them, not directing them.
  • New challenges every day: new markets, new products, new teams - constant change is our norm at Qonto. You’ll learn fast and grow as you help reshape how we operate.

đŸ€ About your future manager

Your manager will be Marie Huet, our Growth Program, Intelligence & Operations Director.

  • Her background: Marie started her career in strategy before moving into leading operational teams. Across fast-moving companies - TheFork, Swile, and now Qonto - she’s built a strong combination of analytical depth, business acumen, and cross-functional thinking. At Qonto, she leads a 35-person team enabling the Growth department across operations, performance, customer insights, and pricing & packaging.
  • What does she bring to the team? She brings a systems thinker’s eye to how teams are structured, prioritized, and connected - turning complexity into clear direction. She will provide the mentorship and cross-functional leadership needed to help you elevate the Growth Performance function into a true strategic business partnering powerhouse.

🏅About You

  • Analytical rigor: you have exceptional quantitative skills, a commitment to unbiased analysis, and the ability to balance strategic thinking with tactical execution. You know how to make the numbers resonate with a room of senior leaders.
  • People management: you’ve led senior, autonomous profiles and know how to develop careers and retain talent.
  • Leadership and influence: you’ve convinced skeptical stakeholders to change how they work without having direct authority. You can challenge a VP’s assumptions with data and make it land constructively.
  • Cross-functional fluency: you’ve worked across Data, Finance, and business teams simultaneously, and you know how to keep them aligned and moving in the same direction.
  • Product-led growth background: you understand how marketing-heavy, product-led B2B businesses grow - and what truly drives their metrics.
  • Languages & location: English required; French is a plus. Based in Paris, with a hybrid setup (three days in the office, two remote).

At Qonto we understand that true diversity isn’t just about ticking boxes on a hiring checklist. Apply regardless of the boxes you tick! Who knows? You may have the missing piece of the puzzle we’ve been searching for all along.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Data Analytics Werkstudent Data Science (m/w/d) at TIMOCOM

Student supports data science projects by analyzing data, creating visualizations, developing ML models, and collaborating with stakeholders on data-driven solutions.

Junior Hybrid Posted 2 days ago RemoteFirstJobs Product
What this role involves

Unternehmensbeschreibung

Wir sind ein Innovationsmotor, der die Logistikbranche mit zukunftsweisenden und digitalen Lösungen verĂ€ndert und in Bewegung hĂ€lt. Unser HerzstĂŒck, der TIMOCOM Marktplatz, verbindet ĂŒber 58.000 Kunden in einem der grĂ¶ĂŸten, dynamischen Logistiknetzwerke Europas und unterstĂŒtzt sie dabei, ihre logistischen Herausforderungen smart, safe und simple zu lösen. Als einer der erfolgreichsten mittelstĂ€ndischen IT-Arbeitgeber fĂŒr die Logistikbranche in Europa leisten wir seit ĂŒber 25 Jahren Pionierarbeit und bleiben kontinuierlich am Puls der Zeit. Mit ĂŒber 700 Mitarbeitenden gestalten wir gemeinsam den digitalen Wandel im StraßengĂŒterverkehr mit Mut, KreativitĂ€t, Leidenschaft und Teamgeist.

Stellenbeschreibung

Als Werkstudent (m/w/d) im Bereich Data Science bekommst du spannende Einblicke in die Welt der Datenanalyse und des maschinellen Lernens. Du wirst uns bei administrativen und organisatorischen Aufgaben unterstĂŒtzen und bekommst die Chance, Verantwortung zu ĂŒbernehmen. Je nach Wohnort arbeitest du entweder zweimal pro Woche gemeinsam mit deinem Team im Headquarter in Erkrath oder du hast die Möglichkeit, bis zu 100 % remote zu arbeiten.

  • Du unterstĂŒtzt aktiv bei Data Science-Projekten und wendest dabei verschiedene Methoden unterschiedlicher Philosophien des maschinellen Lernens an.
  • Du hilfst bei der Aufbereitung und Analyse von Daten, erstellst detaillierte Visualisierungen und schreibst Berichte sowie PrĂ€sentationen, die wertvolle Erkenntnisse vermitteln.
  • Zudem bringst du neue Ideen ein und entwickelst innovative datenbasierte AnsĂ€tze.
  • In unserem agilen Team arbeitest du eng mit Stakeholdern zusammen, um gemeinsam optimale Lösungen zu finden und umzusetzen.
  • Außerdem ĂŒbernimmst du auch eigene kleine Projekte, die als Grundlage fĂŒr deine Abschlussarbeit dienen können.

Qualifikationen

  • Du absolvierst ein Bachelorstudium im Bereich Data Science, Informatik, Mathematik oder einem verwandten Bereich.
  • Deine Arbeitsweise zeichnet sich durch eine gewissenhafte, strukturierte und selbststĂ€ndige Herangehensweise aus.
  • Du hast bereits erste praktische Erfahrungen mit Programmiersprachen oder Datenanalyse-Tools gesammelt und bist motiviert, neue Technologien wie Python, SQL oder Spark kennenzulernen.
  • Damit du dich in deinem Team gut verstĂ€ndigen kannst, bringst du gute Englischkenntnisse (ab B2) und sehr gute Deutschkenntnisse (ab C1) mit.
  • Deine Freunde sagen, dass du eine proaktive, hilfsbereite und freundliche Persönlichkeit hast.
  • Du hast Freude an Teamarbeit und bringst die Bereitschaft fĂŒr VerĂ€nderungen mit.

ZusÀtzliche Informationen

  • Deine Arbeitszeit und - ort sind so flexibel wie du: Du kannst unsere modernen Multispaces nutzen, mobil oder remote arbeiten. Durch die hybride Zusammenarbeit fördern wir den direkten Austausch.
  • Bei uns kannst du an bis zu 120 Kalendertagen im Jahr aus dem Ausland arbeiten – so kannst du deinen Urlaub verlĂ€ngern oder Familie und Freunde in der Ferne besuchen.
  • Auf unserer internen Weiterbildungsplattform kannst du ausÂ ĂŒber 20.000 Angeboten wĂ€hlen. Dank EntwicklungsplĂ€nen mit konkreten Inhalten kannst du deine Weiterbildung ganz einfach planen.
  • Deine Gesundheit ist uns wichtig: Deshalb bieten wir dir Gesundheitsaktionen und After-Work-Veranstaltungen, wie zum Beispiel einen individuellen Stresscheck, RĂŒckenkurse oder einen Lauftreff.
  • Wir denken umweltfreundlich: Du kannst ein E-Bike oder Fahrrad leasen. Alternativ unterstĂŒtzen wir dich gerne mit einem vergĂŒnstigten Jobticket oder einem Fahrgeldzuschuss.
  • FĂŒr deinen Nachwuchs ist gesorgt: Wir bieten Kita-PlĂ€tze in Erkrath und Eltern-Kind-BĂŒros in unserem Headoffice.
  • Arbeiten bei uns heißt Kooperation und Zusammenarbeit auf Augenhöhe– wir sind Teamplayer, weil wir wissen, was wir als Einheit bewirken.
  • Tip a friend! Job empfohlen, 1.000 € PrĂ€mie holen. Der Job passt nicht optimal zu dir, du kennst aber eine Person. Deine Empfehlung belohnen wir gerne. Mehr Infos unter https://karriere.timocom.de/tip-a-friend
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Data Analytics Senior Data Scientist, Trust & Safety at Chime

Senior data scientist develops product insights through experimentation, statistical modeling, and behavioral analysis to guide Trust & Safety product development and drive member engagement.

Senior Posted 2 days ago RemoteFirstJobs Product
What this role involves

About the role

As a Sr. Trust & Safety Product Data Scientist, you will have the opportunity to develop, test, launch and scale member banking experience products that build security awareness and adoption, keeping our members and Chime safe. Trust & Safety organization’s mission is to make Chime the most trusted financial partner by safeguarding member assets, ensuring regulatory excellence, and enhancing the tools and processes that protect our community, while delivering a seamless experience that works reliably for our members. Through experimentation, user behavioral analysis, sophisticated statistical and data science modeling, and dashboards development, you will surface product insights and recommendations that will increase engagement, and retention of our members.

In this role, you will work closely with product managers, risk, engineers, product & lifecycle marketing, and operational stakeholders to foster a data-driven product development culture, advise our product roadmaps, and build a deep understanding of member behavior.

The base salary offered for this role and level of experience will begin at $133,000 and up to $185,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to

  • Partner widely with product, engineering, research, and design to translate your insights to guide product development. You’ll use data to help the organization understand how members are interacting with Chime and convert that to business and experience implications.
  • Lead experimentation by providing mentorship on how they should be run, defining success metrics and data requirements, evaluating impact, and providing strategic direction.
  • Drive roadmap, analysis and metric ideation, and strategic discussions with stakeholders.
  • Keep a pulse on performance metrics and KPIs. You will be positioned to have a view of the business, product, and member base and encouraged to understand and explain trends.
  • Foster a data-driven, test-and-learn culture with your passion for telling stories with data - not only surfacing insights but also presenting those insights and recommendations to encourage and inspire change.
  • Collaborate with analysts and other functions to help bridge business questions and technical (data / computational) solutions.

To thrive in this role, you have

  • 5-7 years in data-focused roles (post-internship), building analytical infrastructure and data tools that support a wide audience and facilitate decisions of trade-offs. B2C product analytics and FinTech experience preferred.
  • Experience leading experimentation, statistical analysis, and sophisticated measurement (e.g. causal inference) E2E to guide decision making.
  • Expertise in SQL - you innately translate business questions to queries, understand the edge cases of joins, and can explore a warehouse to find data most appropriate to the problem.
  • Familiarity in R or python - you write reproducible code and have a tendency toward automation.
  • Hands-on experience with BI/Visualization tools (Looker, Tableau, PowerBI, etc).
  • Experience building metric frameworks to understand user behaviors.
  • Ability to think holistically to solve business problems at hand and navigate through ambiguity.
  • Excellent stakeholder management skills, with a record of working cross-functionally to achieve results.
  • A focus on impact - you don’t stop with just recommendations but ensure to see work through to changing the business.

#LI-Hybrid #LI-AM1

A little about us

At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it’s starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we’re proud to have helped millions unlock their financial potential.

We’re a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner’s mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.

We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.

We know that to achieve our mission, we must earn and keep people’s trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren’t just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.

Because if we don’t—who will?

*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.

What we offer for our full-time, regular employees

  • 🏱 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you’re coming in regularly or are part of our fully remote program, you’ll stay engaged with your work and teammates.
  • đŸ’» In-office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute
  • 💰 Competitive salary based on experience
  • ✹ 401k match plus great medical, dental, vision, life, and disability benefits
  • 🏝 Generous vacation policy and company-wide Chime Days, bonus company-wide paid days off
  • đŸ«‚ 1% of your time off to support local community organizations of your choice
  • 👟 Annual wellness stipend to use towards eligible wellness related expenses
  • đŸ‘¶ Up to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
  • đŸ‘Ș Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more.
  • 🎉 In-person and virtual events to connect with your fellow Chimers—think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too!
  • 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress

We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.

Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: benefits@chime.com.

To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice.

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