Senior Analytics Engineer – Finance

Posted 1 day ago

This is a fully remote position, open to applicants in Brazil, +6 more countries.

πŸ“‹ Description

β€’ Develop reliable financial data products for the Finance Data Engineering & Analytics team at Kraken.

β€’ Leverage automation and AI-driven tools to minimize manual tasks and enhance the financial closing process.

β€’ Collaborate with the Finance team to comprehend workflows, pinpoint challenges, and convert business requirements into data and automation solutions.

β€’ Create and uphold automated workflows for data preparation, reconciliations, reporting, and follow-ups.

β€’ Establish controls, monitoring systems, and exception handling procedures.

β€’ Design dashboards and visualizations to facilitate performance analysis, issue resolution, and decision-making.

β€’ Address finance data discrepancies and reconciliation issues in collaboration with Finance, Product, and Engineering teams.

β€’ Identify root causes and communicate updates on progress.

β€’ Construct scalable pipelines to gather, transform, and curate data from both internal platforms and external sources.

β€’ Assist in the design and implementation of a trustworthy finance data lake, including definitions, ownership, and quality checks.

β€’ Enhance data timeliness and enable near-real-time insights where beneficial.

β€’ Assess technologies, including AI-assisted automation, and prototype solutions that can be supported in production.


⛳️ Requirements

β€’ Over 7 years of experience in data analytics and management within the financial services sector or regulated industries, directly engaging with Finance teams.

β€’ Proficient in SQL and Python, encompassing writing, debugging, and maintaining production-quality code.

β€’ Solid experience with Git, including managing merge requests and conducting code reviews.

β€’ Strong software engineering practices, emphasizing testing and documentation.

β€’ Practical experience in constructing and managing pipelines and models using tools such as dbt, Spark, Airflow, or their equivalents.

β€’ Direct experience with financial or accounting data, including reconciliations, subledgers, cost basis, or month-end closings.

β€’ Proven experience in investigating discrepancies and validating results with accounting stakeholders.

β€’ Demonstrated ability to manage pipelines from start to finish, enhancing reliability as requirements and systems evolve.

β€’ Ability to exercise judgment and autonomy in leading complex tasks, navigating uncertainty, and remaining accountable for production results.

β€’ Experience in supporting recurring financial closing activities.

β€’ Excellent communication skills and capability to collaborate effectively across Engineering and Finance departments.

β€’ Nice to have: experience with cryptocurrency transaction data and digital asset activities in financial records and reconciliations.

β€’ Nice to have: experience in processing large volumes of financial transactions using Spark or PySpark.


🏝️ Benefits

β€’ Flexibility to work remotely.

β€’ Opportunity to collaborate with a global team.

β€’ Participation in job-related skills or work-style assessments during the hiring process.

β€’ Commitment to equal opportunity employment.

β€’ Access to Kraken products for internal use and expectations after joining.

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