The Analytics Engineer will design, build, and deploy financial data and analytics solutions for the Treasury and broader CFO division.

Develop data pipelines and reporting solutions, including data quality metrics and data validations, focused primarily on financial reporting within the CFO division.
Use, maintain, and enhance the Analytics Engineering infrastructure, including version control, secure code storage, reusable components, and collaborative development practices.
Prepare Analytics Engineering 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 project documentation meets governance policies and standards, including data definitions, data lineage, and business rules.
Collaborate on team development practices such as code reviews, shared data structures, and release activities.
Partner with financial analysts and end users to gather requirements and ensure financial data, reporting, and analytics are accurate and usable.

Significant experience in financial analysis and strong understanding of fixed income accounting concepts.
Sound knowledge of data-centric concepts, including relational databases.
Strong programming experience with Python.
Strong SQL experience.
Experience with Git, plus any of GitLab, GitHub, or Bitbucket.
Experience with ETL or ELT tools, or data wrangling tools.
Experience with production deployments.
Experience across the full systems development life cycle.
Ability to take responsibility and function independently while remaining a strong team contributor.
Good communication and documentation skills.
Analytic mindset.
Strong familiarity with Microsoft Office, especially Word, Excel, and PowerPoint.
Ability to work under pressure.

Bachelor’s degree in computer science, data science, or statistics (or equivalent).
Master’s degree preferred.

Bachelor’s degree in computer science, data science, or statistics (or equivalent) plus 5 years working in development roles in the financial services industry.
Master’s degree in data science or quantitative analysis/statistics preferred.

Analytics Engineer

Job Description