Business Intelligence Analyst Senior
Listed on 2026-01-04
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IT/Tech
Data Analyst, Data Engineer
As a Senior Business Intelligence Analyst
, you will play a critical role in shaping how leaders understand and act on data across the organization.
This is a hands‑on, senior‑level position for someone who enjoys building clean, scalable data models, translating complexity into clarity, and partnering closely with both technical teams and business stakeholders.
What You Will DoDesign & Build Trusted Data Models
Design and implement high-performance data models using star and snowflake schemas
Create well‑structured relationships, hierarchies, and calculated measures
Ensure models are scalable, maintainable, and aligned with enterprise standards
Develop Impactful Power BI Solutions
Build intuitive, interactive dashboards and reports that answer real business questions
Use DAX and Power Query (M) for advanced calculations and transformations
Implement row-level security (RLS) and support workspace governance
Own the Power BI Architecture
Work across Power BI service layers, gateways, and premium capacities
Integrate Power BI with Azure Data Factory, SQL Server, and enterprise data sources
Ensure compliance with data governance, security, and privacy standards
Optimize Performance at Scale
Monitor and improve report performance and dataset refresh strategies
Apply best practices for incremental refresh
, query folding, and large datasets
Collaborate and Lead
Partner closely with data engineers, analysts, and business leaders
Provide guidance on Power BI adoption, workspace design, and governance frameworks
Serve as a trusted advisor for BI best practices and standards
What We Are Looking ForEducation
Bachelor’s degree strongly preferred
Candidates without a Bachelor’s degree must have 4+ years of relevant clinical or technical application experience in lieu of a degree
Technical Expertise
Advanced experience with Power BI Desktop and Power BI Service
Strong command of DAX, Power Query, and data modeling principles
Experience with Power BI architecture, including gateways, deployment pipelines, and capacity planning
Data & Analytics Background
Experience with
ETL processes, SQL, and data warehousing concepts
Solid understanding of data governance, security, and best practices
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