Senior Analytics Engineer - Finance

Kraken

3d • $110,400 - $220,800

About The Position

Payward is hiring a Senior Analytics Engineer to join Kraken’s Finance Data Eng & Analytics team within Data Platform. The role sits at the intersection of data engineering and accounting, building trusted financial data products and using automation and AI-assisted tools to reduce manual work and improve the close process.

The engineer will work closely with Data Engineers, Finance, and Platform Accounting to improve reporting and decision-making. The position involves turning complex financial data into reliable pipelines, models, and automated reconciliations, with financial outputs that are tested and traceable. The successful candidate will collaborate with Finance to understand workflows and priorities, explain findings, and encourage adoption of data solutions.

Requirements

• At least 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.
• 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 and a proactive approach to replacing manual processes with reliable, sustainable automation.
• Excellent communication skills, including the ability to collaborate across Engineering and Finance, explain complex technical issues, articulate financial implications, and recommend actionable solutions.

Nice To Haves

• 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.

Responsibilities

• 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 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 to enable near-real-time insights where they add business value.
• Evaluate technologies, including AI-assisted automation, and prototype solutions to Finance needs that can be reliably supported in production.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed