Data Analyst, Growth

Building the Future of Open Finance

Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.

Before you apply, we encourage you to explore our culture page to understand what drives us and how we work.

The team

Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.

Every product decision at Kraken runs on data. Markets open 24/7, millions of users, a product that never stands still. The complexity is real and the infrastructure has to keep up. We're not building for today, we're building for what Kraken becomes next. To do that, we need people who build the foundation that good decisions are made on, and then make sure those decisions are the right ones.

We’re looking for a Data Analyst, Growth to join our team remotely. The #1 goal of this role is to turn complex data into clear, actionable insights that improve user experience, support the development of new features, deepen engagement, and help leadership make high-impact product decisions.

You’ll own end-to-end data management from production-grade pipelines and dbt models to dashboards and metric frameworks for the Marketing Growth team. You'll define north star metrics from the ground up, drive experimentation infrastructure through A/B testing and causal inference, and translate results into clear product recommendations. We're actively building a culture where AI tooling is part of how we work, from LLM-augmented pipelines to GenAI-assisted workflows, and we're looking for people who are excited to grow alongside that.

Beyond technical expertise, success in this role depends on being a true business partner who combines data-driven insights with deep knowledge of growth marketing funnels and user behaviour. You bring experience from environments where data quality has real consequences and where you've had to build the infrastructure, not just use it.

The opportunity

• Act as a trusted business advisor to the Growth team, understanding the business deeply enough to know which questions are worth asking, not just how to answer them.
• Own the design of dashboards, metrics and north star frameworks from the ground up, turning data into decisions for cross-functional partners and leadership.
• Dive into large, complex datasets to build scalable data models that power full-funnel reporting, analytics and ML.
• Lead cross-functional initiatives with analysts, engineers and product teams to build and maintain high-quality data pipelines using Airflow, Python and modern ETL frameworks.
• Drive experimentation infrastructure by designing A/B testing frameworks, testing hypotheses and translating results into clear growth recommendations.
• Develop production-grade code for pipelines and dashboards, applying software engineering best practices throughout.
• Deliver insights that shape growth strategy through clear, data-driven storytelling to technical and non-technical audiences alike.

What You Bring

• 7+ years of experience in data analytics or analytics engineering, ideally within fintech, payments, crypto or a high-scale marketplace where data quality and scale are non-negotiable.
• Hands-on experience building and owning production data pipelines, with strong familiarity with dbt and Airflow or equivalent orchestration tools.
• Full mastery of SQL including complex joins, CTEs and analytical functions, alongside strong Python proficiency for pipeline development and analysis.
• Hands-on experience designing and running A/B tests and experimentation frameworks, with the ability to apply causal inference techniques and translate results into clear growth recommendations.
• Demonstrated experience leading cross-functional data initiatives from design to delivery, with measurable business outcomes you can point to.
• Strong communicator who can simplify complex data ideas for both technical and non-technical audiences.
• A degree in a field emphasising analytical rigour such as software engineering, economics or a hard science.
• Based in Canada, the US, the UK or the EU and fluent in English.

Nice to haves

• Experience with LLM-augmented analytics pipelines or AI-assisted workflows in a production environment
• Solid understanding of the cryptocurrency space and how financial markets function

Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.

Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.

We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.

We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.

As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.

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