Analytics Engineer

Federal Home Loan Bank of Atlanta • Atlanta, GA

6d • Hybrid

About The Position

The Analytics Engineer designs, develops, and deploys financial data and analytics solutions for Treasury and the broader CFO division. The role builds reliable data pipelines, reporting solutions, and analytical tools; maintains the supporting infrastructure; and helps resolve production issues. Work focuses primarily on financial reporting and requires understanding fixed-income securities, derivatives, and related accounting concepts.

Development follows the Analytics Engineering team’s standard development lifecycle and coding standards. The role uses and enhances infrastructure for version control, secure code storage, reusable components, and collaborative development. It prepares applications for production deployment in line with governance policies and standards, supports Analytics Engineering applications and jobs, and ensures project documentation covers data definitions, data lineage, and business rules.

The Analytics Engineer collaborates with teammates on code reviews, shared data structures, releases, and development practices. The role also works with financial analysts and end users across the division to gather requirements and ensure financial data, reporting, and analytics are accurate and usable. The position is based within commuting distance of the Atlanta, Georgia office and is onsite with an opportunity for partial remote work. It may not be filled in New Jersey, either in person or remotely.

Requirements

• Significant experience in financial analysis and a strong understanding of fixed-income accounting concepts.
• Knowledge of data-centric concepts, including relational databases.
• Strong Python programming experience.
• Strong SQL experience.
• Experience with Git and at least one of GitLab, GitHub, or Bitbucket.
• Experience with ETL or ELT tools, or data-wrangling tools.
• Experience with production deployments.
• Experience with the full systems development life cycle.
• Ability to take responsibility and work independently while also being a good team player.
• Good communication and documentation skills.
• Analytical mindset.
• Strong familiarity with Microsoft Office products, especially Word, Excel, and PowerPoint.
• Ability to work under pressure.
• Bachelor’s degree in computer science, data science, or statistics, or equivalent, plus 5 years working in development roles in the financial services industry.
• Must reside within commuting distance of the Atlanta, Georgia office; the position may not be filled in New Jersey, either in person or remotely.

Nice To Haves

• Master’s degree in data science or quantitative analysis/statistics preferred.

Responsibilities

• Develop data pipelines, reporting solutions, data quality metrics, and validations, primarily for CFO division financial reporting.
• Use, maintain, and enhance Analytics Engineering infrastructure, including version control, secure code storage, reusable components, and collaborative development practices.
• Prepare applications for production deployment according to current governance policies and standards, and assist with issues related to Analytics Engineering applications and jobs.
• Ensure assigned project documentation meets governance policies and standards, including data definitions, data lineage, and business rules.
• Collaborate with team members on code reviews, common data structures, release activities, and related development practices.
• Work with financial analysts and end users across the division to gather requirements and ensure the accuracy and usability of financial data, reporting, and analytics.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level