The 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:
Develops 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.
Uses, maintains and enhances the Analytics Engineering infrastructure, including version control, secure code storage, reusable components and collaborative development practices.
Prepares applications for production deployment in accordance with current governance policies and standards and assists with issues related to Analytics Engineering applications and jobs.
Ensures documentation for assigned projects meets current governance policies and standards, including data definitions, data lineage and business rules.
Collaborates with team members on code reviews, common data structures, release activities and other related development practices.
Works with financial analysts and end users across the division to gather requirements and ensure the accuracy and usability of financial data, reporting and analytics.
KNOWLEDGE, SKILLS, ABILITIES:
Must have significant experience in financial analysis and a strong understanding of fixed income accounting concepts
Sound knowledge of data-centric concepts including relational databases.
Strong Python programming experience.
Strong SQL experience.
Experience with Git, and any 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.
Must be able to take responsibility and function independently, while being a good team player.
Good communication and documentation skills.
Analytic mindset.
Strong familiarity with Microsoft Office products, especially Word, Excel, and PowerPoint.
Ability to work under pressure.
MINIMUM REQUIREMENTS
Bachelor’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.
Work Location: This individual must reside within commuting distance from our Atlanta, GA office. This position may not be filled in New Jersey, either in-person or remotely.
Work Schedule: Onsite with an opportunity to work remote partially.