Data Analyst Finance

About Us

Our Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology.

Kraken is a mission-focused company rooted in crypto values. As a Krakenite, you'll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken's focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world.

As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to industry-leading security, crypto education, and world-class client support through our products like Kraken Pro, Desktop, Wallet, and Kraken Futures.

The Team

At Kraken, data is the foundation of financial clarity, compliance, and strategic growth. The Finance Data team transforms complexity into confidence — ensuring that every decision, every launch, and every report is backed by precision and insight.

We're looking for a Data Scientist / Analyst, Finance to join our global, remote team. Your mission: to build out our cost attribution models and automation systems that power faster decision-making, tax readiness, and scalable financial intelligence.

This role bridges the technical and the strategic — building the data foundations that enable Kraken to understand cost structures, improve ROI visibility, and launch products in new markets with lower risk and higher speed.

Responsibilities

• Build and own cost attribution datasets and models that quantify ROI across products, teams, and markets.
• Partner with finance, product, and data engineering teams to establish data pipelines for cost and revenue modeling.
• Develop scalable models that attribute people, infrastructure, and operational costs accurately across the organization.
• Lead automation of tax reporting data flows to ensure timely, compliant, and auditable processes.
• Create self-serve dashboards and data tools that empower finance and leadership with instant visibility into key metrics.
• Design robust data models that support financial planning, forecasting, and regulatory reporting.
• Collaborate cross-functionally to ensure data definitions, processes, and reporting are consistent across systems.
• Translate complex financial data into clear, actionable insights that drive smarter business and expansion decisions.

Requirements

• 3+ years of experience in data science, analytics, or financial data engineering roles.
• Proficiency in SQL and Python (pandas, numpy, matplotlib) for modeling, automation, and analysis.
• Experience building data models for cost allocation, ROI, or financial performance measurement.
• Familiarity with tax data structures, reporting processes, or regulatory data automation.
• Strong understanding of ETL workflows and orchestration tools like Airflow or dbt.
• Capable of creating intuitive dashboards and visualizations to communicate complex insights clearly
• Ability to communicate financial and technical insights to stakeholders across all levels.
• Passion for enabling smarter financial operations through automation and data excellence.

Nice to Have

• Experience in accounting data systems, ERP integration, or tax technology solutions.
• Understanding of cost modeling for global or multi-entity organizations.