Senior Analytics Engineer - Finance

Kraken is hiring a Senior Analytics Engineer to build trusted financial data products for its Finance Data Engineering & Analytics team. The role develops reliable data pipelines, models, reconciliations, reporting, and automation to improve financial decision-making and the close process.

Responsibilities:

• You’ll work closely with Data Engineers, Finance and Platform Accounting to improve reporting and decision-making. Clear communication and collaboration will help you agree priorities, explain findings and drive adoption
• Partner with Finance to understand workflows, identify pain points and translate business needs into practical data and automation solutions
• Build and maintain automated workflows for data preparation, reconciliations, reporting and follow-ups, with clear controls, monitoring and exception handling
• Build intuitive dashboards and visualizations that help stakeholders understand performance, investigate issues and make decisions
• Resolve finance data issues and reconciliation breaks with Finance, Product and Engineering, addressing root causes and communicating progress
• Build scalable, reliable pipelines to collect, transform and curate data from internal platforms and external systems
• Support the design and rollout of a trusted finance data lake, with clear definitions, ownership and quality checks
• Improve data timeliness, enabling near-real-time insights where they add business value
• Evaluate new technologies, including AI-assisted automation, and prototype solutions to Finance needs that can be reliably supported in production

Requirements:

• 7+ years of experience in data analytics and data management within financial services or a regulated industry, working directly with Finance teams
• Strong SQL and Python skills, including writing, debugging and maintaining production code
• Solid experience with Git, merge requests, and code reviews, supported by strong software engineering practices, including testing and documentation
• Hands-on experience building and operating pipelines and models using dbt, Spark, Airflow or comparable tools
• Direct experience with finance or accounting data, such as reconciliations, subledgers, cost basis or month-end close, including investigating discrepancies and validating outputs with accounting stakeholders
• A track record of owning pipelines end to end, making sound technical decisions and improving reliability as requirements and systems evolve
• Judgment and autonomy to lead complex work, navigate ambiguity and remain accountable for production outcomes
• Experience supporting recurring financial close activities, combined with a proactive approach to identifying manual processes and replacing them with reliable, sustainable automation
• Excellent communication skills, with the ability to collaborate across Engineering and Finance, explain complex technical issues, articulate financial implications, and recommend actionable solutions
• Experience with cryptocurrency transaction data and how digital-asset activity flows into financial records and reconciliations
• Experience processing large volumes of financial transactions using distributed frameworks such as Spark or PySpark