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Sr. Data Analyst, GrowthKraken • New York, New York, United States
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Sr. Data Analyst, Growth

Kraken
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Jetzt Bewerben

Über

Building the Future of Open Finance Payward is the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks. Over the last 15 years we’ve built one of the most modern and globally accessible financial infrastructure platforms in the industry, designed 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 users and institutions worldwide. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
We are looking for a Senior Data Analyst, Growth to join our team remotely. This staff‑level individual‑contributor role expects you to own the Growth domain end‑to‑end, delivering production‑grade pipelines, dbt models, dashboards, and metric frameworks. You will define north‑star metrics, drive experimentation infrastructure, and translate results into clear business recommendations. You will also shape how AI tooling is embedded into our workflows, from LLM‑augmented pipelines to GenAI‑assisted analytics, and influence the technical direction of the data team.
The Opportunity
Operate as a full‑stack data analyst within the Growth 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 Growth domain by designing and owning A/B testing frameworks, applying causal inference techniques, and turning results into clear, confident recommendations that influence product and growth 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
10+ 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.
Proven track record of building and owning data infrastructure at scale, not just using it. You’ve built the pipelines, defined the models, and taken ownership of what happens when things break.
Deep expertise with dbt is a must. You’ve used it in production, you know its limits, and you’ve built models that others depend on.
Strong experience managing ELT/ETL pipelines end to end, with hands‑on familiarity with Airflow or equivalent orchestration tools.
Full mastery of SQL and strong Python proficiency for pipeline development, analysis, and production‑grade code.
Deep hands‑on experience designing, running, and owning experimentation programmes, including A/B testing frameworks and causal inference at scale. You’ve built the infrastructure, not just used it, and you can translate results into clear business decisions.
Experience deploying AI tools, including LLM‑augmented pipelines or GenAI‑assisted workflows with demonstrable business impact.
A track record of influencing technical direction and data strategy, not just executing within it.
Strong communicator who can simplify complex data ideas for both technical and non-technical audiences, including senior leadership.
A degree in a field emphasising analytical rigour such as software engineering, economics, or a hard science.
Based in Canada, the United States, the United Kingdom, or the European Union and fluent in English.
Nice to Haves
Solid understanding of the cryptocurrency space and how financial markets function.
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.
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, and local laws.
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.
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  • New York, New York, United States

Sprachkenntnisse

  • English
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