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About the Role

Turn complex data into clear, actionable insights that improve user experience, support new feature development, deepen engagement, and aid leadership in making high-impact product decisions. You will own end-to-end data management, define north star metrics, drive experimentation, and translate results into product recommendations. We are building a culture that integrates AI tooling into workflows.

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.

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 professional trader experience.
• Hands-on experience building and owning production data pipelines.
• 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.
• Based in Canada, the US, the UK or the EU and fluent in English.

Skills

• dbt
• Airflow or equivalent orchestration tools
• SQL including complex joins, CTEs and analytical functions
• Python for pipeline development and analysis
• Designing and running A/B tests and experimentation frameworks
• Causal inference techniques
• LLM-augmented analytics pipelines or AI-assisted workflows in a production environment (nice to have)

Location

• Remote

Work Type

• Remote
• Full-time

Experience Level

• 7+ years

Education Level

• Degree in a field emphasising analytical rigour such as software engineering, economics or a hard science.

About the Company

• Payward is the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks.
• Payward 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.
• 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.
• Kraken offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.

Equal Opportunity

• 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.
• 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.