Analytics Engineer

The Analytics Engineer will design and deliver financial data and analytics solutions for the Treasury and CFO division within a hybrid setup in Atlanta.

Key Responsibilities

• Design and develop data pipelines and reporting/analytical solutions, including data quality metrics and validations for financial reporting within the CFO division
• Use, maintain, and enhance Analytics Engineering infrastructure, including:
  • version control
  • secure code storage
  • reusable components
  • collaborative development practices
• Prepare analytics applications for production deployment in line with current governance policies and standards
• Assist with production issues related to Analytics Engineering applications and jobs
• Ensure assigned projects have complete documentation that meets governance standards, including:
  • data definitions
  • data lineage
  • business rules
• Participate in team development practices such as code reviews, shared release activities, and aligned use of common data structures
• Partner with financial analysts and end users to collect requirements and validate the accuracy and usability of financial data, reporting, and analytics

Required Qualifications

• At least 5 years of experience; significant experience in financial analysis and 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 one or more of: GitLab, GitHub, Bitbucket
• Experience with ETL or ELT tools, or other data wrangling tools
• Experience with production deployments
• Experience across the full systems development life cycle
• Ability to take responsibility and function independently while remaining an effective team contributor
• Good communication and documentation skills
• Analytic mindset
• Strong familiarity with Microsoft Office, especially Word, Excel, and PowerPoint
• Ability to work under pressure

Education

• Bachelor’s degree in computer science, data science, or statistics (or equivalent)
• Master’s degree preferred in data science or quantitative analysis/statistics

Location and Schedule

• Atlanta, GA (hybrid): onsite with opportunity to work remote partially
• Must reside within commuting distance of the Atlanta, GA office
• This position may not be filled in New Jersey, either in-person or remotely

Technologies

• Python, SQL, Git
• GitLab, GitHub, Bitbucket
• ETL, ELT
• Microsoft Office (Word, Excel, PowerPoint)
• Relational databases

Compensation Grade

• Grade 10