{"id":2754541,"url":"https://alion.io/job/fhlbatl-analytics-engineer","title":"Analytics Engineer","company":{"id":2894198,"name":"Fhlbatl","domain":"fhlbatl.com","url":"https://alion.io/company/fhlbatl","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Atlanta, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":69000,"max_usd":153000,"period":"year","method":"role_country_seniority_unknown","sample_n":4769},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Bitbucket","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"GitLab","optional":false},{"name":"Microsoft Office","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-15T00:00:00Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-18T02:40:29Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Compensation Grade:\n10BASIC PURPOSE:\nThe Analytics Engineer designs, develops and deploys financial data and analytics solutions for Treasury and the broader CFO division. The role is responsible for building reliable data pipelines, reporting solutions and analytical tools, while maintaining the underlying infrastructure and resolving production issues.ESSENTIAL FUNCTIONS:\nDevelops data pipelines, reporting solutions, data quality metrics and validations, primarily for financial reporting within the CFO division. This role requires an understanding of fixed income securities, derivatives, and related accounting concepts. Development follows Analytics Engineering’s standard development lifecycle and coding standards.\nUses, maintains and enhances the Analytics Engineering infrastructure, including version control, secure code storage, reusable components and collaborative development practices.\nPrepares applications for production deployment in accordance with current governance policies and standards and assists with issues related to Analytics Engineering applications and jobs.\nEnsures documentation for assigned projects meets current governance policies and standards, including data definitions, data lineage and business rules.\nCollaborates with team members on code reviews, common data structures, release activities and other related development practices. \nWorks with financial analysts and end users across the division to gather requirements and ensure the accuracy and usability of financial data, reporting and analytics.\nKNOWLEDGE, SKILLS, ABILITIES:\nMust have significant experience in financial analysis and a strong understanding of fixed income accounting concepts\nSound knowledge of data-centric concepts including relational databases.\nStrong Python programming experience.\nStrong SQL experience.\nExperience with Git, and any of GitLab, GitHub, or Bitbucket.\nExperience with ETL or ELT tools, or data wrangling tools.\nExperience with production deployments.\nExperience with the full systems development life cycle.\nMust be able to take responsibility and function independently, while being a good team player. \nGood communication and documentation skills.\nAnalytic mindset.\nStrong familiarity with Microsoft Office products, especially Word, Excel, and PowerPoint. \nAbility to work under pressure.\nMINIMUM REQUIREMENTS\nBachelor’s degree in computer science, data science, or statistics or equivalent plus 5 years working in development roles in the financial services industry. A master’s degree in data science or quantitative analysis/statistics preferred.\nWork Location:This individual must reside within commuting distance from our Atlanta, GA office. 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