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Transforms complex datasets into actionable insights by designing BI dashboards, conducting advanced analytics, and supporting cross-functional teams with data-driven recommendations.
Analyzes business requirements for web banking solutions and translates them into technical specifications while collaborating with developers and stakeholders.
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.
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:
It would be a bonus if you have:
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.
Builds custom data reports and insights from raw datasets using SQL and Python, partnering with clients and engineering teams to deliver strategic data products.
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:
This is the perfect job for someone who has:
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.
Analyzes business and consumer data to generate insights and support decision-making across the organization.
Designs and maintains data pipelines and analytics infrastructure to support digital media reporting and business intelligence.
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.
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.
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.
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.
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.
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.
Builds and deploys machine learning models to predict business outcomes, collaborates with cross-functional teams on experiments, and operationalizes models for production use.
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.
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.
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.
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.
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.
Analyzes sales performance, pricing strategies, and KPIs while managing Salesforce as the functional owner, producing reports and dashboards for commercial decision-making.
Headquarters: Mexico
URL: http://sonova.com
Business Analyst & CRM (Salesforce)
Mexico City, México – REMOTE AVAILABLE FOR THE RIGHT CANDIDATE
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**Must speak and understand English for this position
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The Business Analyst & CRM (Salesforce) plays a critical role in driving the execution of Sonova Mexico’s pricing strategy while ensuring full visibility of commercial performance through robust KPI tracking and analytics. This role serves as the functional owner of Salesforce, supporting data integrity, system optimization, and enabling data-driven decision-making across the commercial organization.
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This position is essential to strengthening operational excellence, improving profitability, and supporting sustainable market share growth.
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Responsibilities:
Monitor and analyze performance of customer-tier pricing strategies across segments
Analyze sales volumes, pricing, margins, discount behavior, and customer trends
Produce recurring and ad-hoc executive reports for leadership
Identify risks, deviations, and opportunities to improve profitability and competitiveness
Support automation of pricing rules in SAP and Salesforce
Act as the internal Product Owner for Salesforce
Ensure data quality, system usage, and continuous CRM optimization
Build dashboards, reports, and workflows to support Sales and Management teams
Lead user training, adoption initiatives, and system enhancements
Track KPIs including customer volume, discount levels, contract compliance, and financial performance
Prepare monthly and quarterly performance summaries and insights
Partner with Sales teams to support pricing strategy execution and customer negotiations
Collaborate cross-functionally with Marketing, Finance, Operations, and IT teams
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More about you:
Bachelor’s degree in Business Administration, Industrial Engineering, Economics, Finance, Information Systems, or related field
Strong Salesforce experience including dashboards, reporting, and automation
Advanced Excel skills; Power BI or similar tools preferred
Strong understanding of commercial processes and pricing strategies
Ability to analyze large datasets and translate insights into actionable recommendations
Advanced English proficiency
Strong analytical thinking, attention to detail, and problem-solving skills
Excellent communication and ability to influence cross-functional teams
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A minimum of 200Mb/sec download and 10Mb/sec upload speed internet connectivity is required to support any remote/hybrid employee functionality at Sonova
Don't meet all the criteria? If you’re willing to go all in and learn we'd love to hear from you!
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What we offer:
• Benefits in accordance with the Federal Labor Law (LFT)
• Savings fund (Fondo de Ahorro)
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How we work:
At Sonova, we prioritize the well-being of our employees and foster an inclusive environment that promotes engagement and collaboration. Our team-customized hybrid work model empowers teams to balance individual needs with business goals, offering flexibility and individualized time management. We recognize the importance of life outside of work and strive to create a supportive and motivating workplace where innovation thrives.
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To apply: https://weworkremotely.com/remote-jobs/sonova-international-business-crm-analyst-remote
Analyzes user behavior and product data to drive insights for product strategy, adoption, and customer retention decisions across the organization.
WHAT IS BOX?
Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.
By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.
WHY BOX NEEDS YOU
Product Analytics at Box plays a key part in building increased understanding of our products, our customers, and our business so that we can help our teammates make better data-driven decisions. We work cross-functionally to develop and share insights, combining qualitative understanding and quantitative analysis. As a member of the team, you’ll have an opportunity to work with high-caliber individuals to drive strategic and operational improvements at our company.
As the Product Analyst, you will be responsible for delivering data and insights that drive decision making for our business and product initiatives. You will need to be able to translate strong insights about user behavior and analysis techniques into actionable work for the team.  The ideal candidate will bring a depth of functional experience with a proven track record driving meaningful product wins through insights & influence.
WHAT YOU’LL DO
You will use analytics to answer questions about how our customers are using our product, with the goal of improving product adoption and customer retention.
You will guide the Product Leadership Team on setting company-wide goals that inform and support our long-term product strategy
You will own the roadmap and data integrity of our products reporting, identifying opportunities to build new dashboards and self-serve resources with the end goal of increasing data consumption and efficiency.
You will work cross-functionally with product managers, data engineers, and product engineers to ensure we’re delivering quality insights to the business.
WHO YOU ARE
We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.
You’re a “data ninja”. You enjoy digging into the details of data models to answer questions, and you enjoy finding ways to enable people to access data to drive decisions.
Your analytics skills are strong, including 1 + years of experience in an analytics role. You have significant experience with SQL and data visualization tools (Tableau, Qlik, Power BI, Looker, Domo, etc.)
You’ve proven yourself as a trusted business partner. You’ve got excellent communication skills and can translate between technical and functional requirements. You have experience working with business stakeholders to clarify questions and prioritize asks.
You’ve got a strong education. You have a Bachelor’s in an analytical field (statistics, computer science, etc.)
BENEFITS
Check out the overview of Life at Box which include general perks and benefits.
Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. Your Recruiter will share more about how we work and company culture during the hiring process.
At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in.If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!
EQUAL OPPORTUNITY
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.
For details on how we protect your information when you apply, please see our Personnel Privacy Notice.
For more details on how Box Poland protects your information, please see our Supplemental Personnel and Candidate Privacy Notice.
#LI-KS2
#LI-Hybrid
Analyzes product usage data and customer behavior to provide actionable insights that drive product strategy and business decisions across the organization.
WHAT IS BOX?
Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.
By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.
WHY BOX NEEDS YOU
Product Analytics at Box plays a key part in building increased understanding of our products, our customers, and our business so that we can help our teammates make better data-driven decisions. We work cross-functionally to develop and share insights, combining qualitative understanding and quantitative analysis. As a member of the team, you’ll have an opportunity to work with high-caliber individuals to drive strategic and operational improvements at our company.
As the Product Analyst, you will be responsible for delivering data and insights that drive decision making for our business and product initiatives. You will need to be able to translate strong insights about user behavior and analysis techniques into actionable work for the team.  The ideal candidate will bring a depth of functional experience with a proven track record driving meaningful product wins through insights & influence.
WHAT YOU’LL DO
You will use analytics to answer questions about how our customers are using our product, with the goal of improving product adoption and customer retention.
You will guide the Product Leadership Team on setting company-wide goals that inform and support our long-term product strategy
You will own the roadmap and data integrity of our products reporting, identifying opportunities to build new dashboards and self-serve resources with the end goal of increasing data consumption and efficiency.
You will work cross-functionally with product managers, data engineers, and product engineers to ensure we’re delivering quality insights to the business.
WHO YOU ARE
We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.
You’re a “data ninja”. You enjoy digging into the details of data models to answer questions, and you enjoy finding ways to enable people to access data to drive decisions.
Your analytics skills are strong, including 1 + years of experience in an analytics role. You have significant experience with SQL and data visualization tools (Tableau, Qlik, Power BI, Looker, Domo, etc.)
You’ve proven yourself as a trusted business partner. You’ve got excellent communication skills and can translate between technical and functional requirements. You have experience working with business stakeholders to clarify questions and prioritize asks.
You’ve got a strong education. You have a Bachelor’s in an analytical field (statistics, computer science, etc.)
BENEFITS
Check out the overview of Life at Box which include general perks and benefits.
Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. Your Recruiter will share more about how we work and company culture during the hiring process.
At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in.If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!
EQUAL OPPORTUNITY
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.
For details on how we protect your information when you apply, please see our Personnel Privacy Notice.
For more details on how Box Poland protects your information, please see our Supplemental Personnel and Candidate Privacy Notice.
#LI-KS2
#LI-Hybrid
Analyzes cloud financial operations and spending patterns to optimize cost management and billing across cloud infrastructure.
Analyzes customer retention data, designs experiments, and translates insights into actionable recommendations for subscription optimization across product, marketing, and member services.
Analyzes customer data to optimize subscription retention and member loyalty, designing experiments and translating insights into product decisions.
Analyzes customer behavior and retention data to drive data-driven decisions across product, marketing, and lifecycle communications for a pet food subscription service.
Analyzes mortgage operations data and processes to optimize workflows and support business decisions for a mortgage technology company.
Gathers, analyzes, and visualizes complex datasets using SQL, Python, and BI tools to support data-driven business decisions and insights.
Gathers, analyzes, and visualizes complex datasets using SQL, Python, and BI tools to support data-driven business decisions.
Designs and maintains Power BI dashboards, develops data models, and delivers analytics insights to support regulatory and strategic decision-making for a government digital platform.
The Digital Regulatory Assurance System (DRAS) is a major Government of Alberta initiative led by Environment and Protected Areas (EPA) to modernize, digitize, and streamline environmental and natural resource regulatory processes.
DRAS supports the complete regulatory lifecycle—from application and authorization through compliance monitoring, remediation, and closure—using a single digital platform. As the volume and complexity of data continue to grow, the program requires an experienced Business Intelligence Analyst to provide advanced analytics, reporting, dashboard development, and data-driven insights that support operational and strategic decision-making.
Candidates must provide:
Operationalizes, optimizes, and scales data science models in production, working with ML systems, statistical models, and large datasets to improve performance and reliability.
ABOUT CORDIAL
We founded Cordial in 2014 on the belief that there should be more humanity and empathy in marketing—both in how brands communicate with their customers and in how technology companies work with brands. We built our company and platform purposefully, driven by a desire to inspire more thoughtful communication and to create experiences that feel more personal and human—for consumers, for the people at the companies we work with, and for Cordial employees. Today, brands like PacSun, Revolve, Abercrombie & Fitch, Realtor.com, L.L. Bean and Forbes rely on Cordial to drive revenue growth by sending a better message.
We chose the name Cordial to symbolize how we empower our clients to communicate with their customers, as well as how we do business: with transparency, collaboration, and trust. We’re building a passionate team of individuals willing to learn, grow, and be thoughtfully challenged on a daily basis to continuously improve our product, company, and culture every single day.
OUR VALUES
We are looking to add a Data Scientist – Production Engineering to our data science team. This role focuses on operationalizing, optimizing, and scaling data science models and systems that are already in production or transitioning into production.
Our data science work extends beyond traditional machine learning and includes statistical models, optimization logic, heuristics, rules-based systems, ML and LLM models, all operating on large, real-world datasets. This role is designed to strengthen the implementation and performance side of our data science stack while working closely with data scientists, engineering and product teams. This role requires someone who can ramp up quickly, work independently, and contribute meaningfully without extensive onboarding.
$140,000.00 - $175,000.00 base salary annually. The compensation range may be adjusted based on experience and location. In combination with base salary, Cordial’s compensation package includes equity and bonus, a robust benefit plan (medical/dental/vision/life), 401k match, flexible time off and paid company holidays. Additionally, we offer perks such as an annual company conference, childcare and continued education yearly reimbursements. We pride ourselves in maintaining a healthy work/life balance, a strong dedication to DE&I efforts, and an overall respectful and open culture!
Resume Submission Requirement — Please Read Carefully
When uploading your resume, your file must be named in the following format:
FIRSTNAME-LASTNAME-CORDIAL2026
Example: JOE-DOE-CORDIAL2026
Applications that do not follow this naming convention exactly will be automatically rejected and will not be reviewed. Please double-check your file name before submitting.
Accepted file formats: PDF or Word (.docx)
As of January 1, 2026, Cordial does not provide visa sponsorship, visa transfers, immigration support, or employment-related documentation for immigration purposes, including letters supporting visa applications, renewals, transfers, or work authorization, for new hires.
Cordial is proud to be an equal opportunity employer that celebrates diversity and is committed to creating an inclusive workplace with equal opportunity for all applicants. Our goal is to recruit the most talented people from a diverse candidate pool regardless of race, color, ancestry, national origin, religion, disability status, sex (including pregnancy), age, gender, gender identity or expression, sexual orientation, marital status, veteran status, or any other characteristic protected by law.
Cordial is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you require an accommodation, please reach out to your recruiter once you’ve begun the interview process. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.
Manages and supports Epic healthcare system applications, ensuring data integrity and optimizing clinical workflows for healthcare organizations.