Sr. Analytics Engineer
$103,548–$129,435 year
On-siteTampa, Florida, United States
Job Summary
Own and maintain enterprise Power BI semantic models supporting Commercial, Finance, Operations, and Executive reporting by designing model architecture, establishing governance standards, and defining KPI calculations. Develop advanced DAX measures, calculation groups, and reusable business logic while optimizing semantic models for scalability, query speed, and maintainability. Build and enhance enterprise datasets, reports, and dashboards to support thin-report architecture and self-service analytics initiatives. Collaborate with Business Analysts and Finance Business Partners to translate requirements into governed metric definitions and ensure KPI consistency across all reporting solutions. Manage version control, deployment pipelines, and production release standards using Git, Azure DevOps, and Tabular Editor.
Required Qualifications
- Bachelor's degree in Information Systems, Computer Science, Business Analytics, Finance, Engineering, or a related field
- Minimum 5 years of experience in Business Intelligence, Analytics Engineering, Data Modeling, or a related role
- Advanced experience developing enterprise Power BI solutions, including semantic models, reports, dashboards, and governed datasets
- Expert-level DAX development experience and strong understanding of calculation logic, reusable measures, and KPI frameworks
- Strong understanding of dimensional modeling, data warehousing, and semantic layer design
- Strong SQL skills and working knowledge of relational database structures
- Experience working with Finance, Commercial Analytics, Sales Operations, or Business Intelligence functions
- Excellent communication, stakeholder management, documentation, and problem-solving skills
- Ability to manage multiple projects and priorities in a fast-paced environment
Desired Qualifications
- Experience with Microsoft Fabric, Power BI Premium, or enterprise Power BI deployment models
- Experience with Tabular Editor, calculation groups, model scripting, or related tabular model development tools
- Experience with Azure DevOps, Git, PBIP, CI/CD, and deployment pipelines
- Experience designing enterprise semantic models and KPI governance frameworks
- Familiarity with Databricks, Azure SQL, cloud data platforms, and modern data-warehouse architectures
- Experience supporting executive reporting, FP&A, Commercial Analytics, Sales Operations, or Operations reporting
- Relevant medical device or biopharma experience a plus
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