Senior Analytics Engineer

Role overview

Build a dependable data foundation for business reporting and self-service analysis in a financial advisory environment. This hands-on senior role shapes how raw data becomes governed, tested, documented datasets and shared metrics, while setting engineering practices and partnering with business and technology teams.

Responsibilities - Create and maintain dbt transformations on Microsoft Fabric, organizing data into consistent staging, intermediate, and mart layers. - Co-own Power BI semantic models, shared measures, certifications, and row-level security so metrics are consistent across reports and self-service analysis. - Set data quality standards through tests, freshness checks, data contracts, monitoring, and alerts. - Apply software delivery practices such as Git workflows, pull request reviews, automated CI/CD, and separate development, test, and production environments. - Translate questions from advisory, client service, finance, operations, and technology teams into reliable models and metric definitions. - Document data definitions and lineage, maintain a catalog of certified datasets and owners, and improve transformation and model performance. - Work with security, compliance, and technology partners on access controls, privacy, and auditability; review colleagues’ work and mentor team members.

Requirements

The available listing describes this as a senior, hands-on position but does not provide specific years-of-experience, education, or other candidate qualifications.

Benefits and work setup - Benefits listed include medical, dental, and vision plans; health savings account options; retirement plan with matching; paid holidays and time off; and paid parental leave. - Additional offerings include disability and life insurance, adoption assistance, dependent-care savings, and employee support services.