Product Data Analyst - Remote, FinTech & AI-Driven

CryptoproNetwork; United States; Hybrid; USD 96,000 - 192,000; Full time

Job summary

Kraken is seeking a Data Analyst, Product to turn complex data into clear insights for user experience improvements and feature development. You will own end-to-end data pipelines and dashboards for the Pro product team, defining north star metrics and driving experimentation.

You will build scalable data infrastructure, apply causal inference to growth strategies, and collaborate with senior leadership to inform product direction.

Qualifications

• 7+ years of experience in data analytics or analytics engineering.
• Experience with advanced trading products in equities, crypto, or similar.
• Hands-on experience building and owning production data pipelines (dbt, Airflow).
• Strong SQL mastery and Python proficiency for pipelines and analysis.
• Experience designing and running A/B tests with causal inference.
• Proven ability to lead cross-functional data initiatives with measurable outcomes.
• Strong communicator who translates data insights for technical and non-technical audiences.
• Degree emphasising analytical rigour (software engineering, economics, hard sciences).
• Based in Canada, US, UK or EU and fluent in English.

Responsibilities

• Own end-to-end data analyses and dashboards for the Pro product team.
• Define north star metrics and analytical frameworks guiding product decisions.
• Build and maintain scalable data infrastructure and full-funnel reporting.
• Lead experimentation across Product with A/B testing and causal inference.
• Collaborate across the data team to raise data quality and engineering standards.
• Embed AI tooling into workflows, including LLM-augmented pipelines.

Skills

SQL

Python

A/B testing

Causal inference

Data storytelling

Data analytics

Communication

Data pipelines

Education

Bachelor's degree in a relevant field

Tools

dbt

Airflow

Job description

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.

We’re looking for a Data Analyst, Product 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 Pro product 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 client retention 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

Operate as a full-stack data analyst within the Pro team, owning your domain completely while collaborating closely with colleagues across the pod.

Own the design and evolution of dashboards, north star metrics and analytical frameworks that drive decisions at the highest level of the business.

Build and maintain data infrastructure at scale, from scalable dbt models and production pipelines to full-funnel reporting that powers cross-functional teams.

Lead experimentation across the Product domain by designing and owning A/B testing frameworks, applying causal inference techniques and turning results into clear, confident recommendations that influence product strategy.

Influence technical direction across the data team, contributing to how we build, what we prioritise and how we raise the bar on data quality and engineering standards.

Embed AI tooling into your workflow in ways that have tangible business impact, including LLM-augmented pipelines and GenAI-assisted analytics workflows.

Deliver insights through clear, data-driven storytelling to technical and non-technical audiences, including senior leadership.

What You Bring

7+ years of experience in data analytics or analytics engineering, ideally within fintech, payments, financial market or crypto where data quality and scale are non-negotiable.

You have hands-on experience with advanced trading products and solutions in equities, crypto, or other assets. You either have a professional background working within financial markets or on a trading desk, or you are a professional trader.

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

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.

Our commitment

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.

How much does the Data Analyst, Product role at Kraken pay?

The Data Analyst, Product position at Kraken pays $96k-192k/year. Compensation may vary based on experience and location.

Is the Data Analyst, Product role at Kraken remote?

Yes — Kraken is hiring this Data Analyst, Product as a remote role, with a preference for candidates in United States. You can apply from anywhere unless the listing specifies a region.

What skills are required for the Data Analyst, Product role at Kraken?

This Data Analyst, Product role is associated with the following skills and technologies:

• Data Analyst
• Finance
• Python
• AI
• Full Time
• Remote

Read the full job description above for the complete list of requirements.

Is the Data Analyst, Product role at Kraken full-time or contract?

Kraken is hiring this Data Analyst, Product as a full time position.

How do I apply for the Data Analyst, Product role at Kraken?

You can apply for the Data Analyst, Product role at Kraken directly on this page using the Apply button. Remote candidates are welcome. Applications submitted through CryptoJobsList reach the employer directly.