Data Analyst, Product

Kraken

13h • Remote

About The Position

Payward, the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks, is seeking a Data Analyst, Product to join their team remotely. The primary goal of this role is to transform complex data into clear, actionable insights that enhance user experience, support new feature development, increase engagement, and aid leadership in making impactful product decisions. The successful candidate will manage end-to-end data processes, including production-grade pipelines, dbt models, dashboards, and metric frameworks for the Pro product team. Responsibilities include defining north star metrics, driving experimentation infrastructure through A/B testing and causal inference, and translating results into product recommendations. The company is actively integrating AI tooling into its workflows and seeks individuals excited to grow with these advancements. Success in this role requires a blend of technical expertise and business acumen, with a deep understanding of client retention funnels and user behavior. Experience in environments where data quality is critical and where infrastructure development was a key responsibility is highly valued.

Requirements

• 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.
• Hands-on experience with advanced trading products and solutions in equities, crypto, or other assets.
• Professional background working within financial markets or on a trading desk, or experience as 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.
• Strong communicator who can simplify complex data ideas for both technical and non-technical audiences.
• A degree in a field emphasizing analytical rigor 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

Responsibilities

• 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.

Benefits

• 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.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior