Senior Business Intelligence Engineer

Own the development and ongoing enhancement of Power BI dashboards and reporting products aligned to business priorities, including clear KPI definitions and decision-oriented storytelling.

Design, build, and maintain Power BI semantic models using dimensional modeling best practices (e.g., star schema) to improve performance, usability, and consistency across reports.

Develop reusable, well-documented DAX measures (including time intelligence patterns where appropriate) and optimize calculations and model design to ensure responsive, scalable reporting experiences.

Perform data shaping and transformation using Power Query (M) with an emphasis on maintainability and repeatability of data preparation steps.

Use SQL to extract, validate, and analyze data from enterprise systems; partner with upstream teams to resolve data quality issues and reconcile metrics.

Collaborate with Data Engineers to understand upstream pipelines and data products, provide reporting requirements, and influence data structures that best support analytics and semantic modeling.

Implement and support governed access patterns, including Row-Level Security (RLS) where required, and partner with platform/tenant stakeholders to ensure the right balance of access and control.

Manage operational reliability of published assets (refresh requirements, dependencies, and impact), using platform capabilities such as endorsement, lineage, and refresh options (including incremental refresh where appropriate).

Contribute to BI engineering standards: workspace organization, naming conventions, documentation, and lifecycle practices (dev/test/prod promotion, controlled releases, versioning), consistent with enterprise lifecycle management approaches.

Document KPI logic, data definitions, semantic model design decisions, and report usage considerations to support governance, transparency, and auditability (not just “how,” but “why”).

Partner directly with business stakeholders to clarify requirements, translate business questions into analytic specifications, and communicate tradeoffs clearly; Kroll job postings emphasize the importance of translating technical details into business terms and proactively surfacing issues before they reach downstream consumers.