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Business Intelligence Manager
Empiric
- California, Maryland, United States
- California, Maryland, United States
Über
Company : Empiric
Employment Type : Full Time
Work Authorization : US Citizen or Green Card Only
MUST HAVE HANDS ON FABRIC EXPERIENCE
NO C2C OR THIRD PARTIES
Overview We are seeking an experienced Business Intelligence Manager to lead and support a modern BI and analytics function built around Microsoft Fabric and Power BI.
This is a hands‑on leadership role for someone who can manage a small BI team while still owning technical delivery across semantic models, reporting, dashboard development, Gold‑layer analytics data, and BI governance.
The ideal candidate is a player‑coach who can work closely with business stakeholders, Data Engineering, Product, and executive leadership to turn business questions into trusted analytics solutions.
Required Skills and Qualifications
8+ years of experience in Business Intelligence, Analytics Engineering, or BI Development
Strong hands‑on experience with Microsoft Fabric, including OneLake, Lakehouse, Direct Lake, and Spark concepts
Advanced Power BI experience, including data modeling, DAX, Power Query, semantic models, and performance tuning
Strong SQL skills and working knowledge of Spark or PySpark
Experience managing or mentoring BI developers, analysts, or analytics teams
Ability to define BI standards, reporting best practices, documentation, and governance processes
Strong communication skills with the ability to translate business needs into clear analytics solutions
Experience gathering requirements from internal stakeholders and delivering high‑quality reporting solutions on time
Preferred Skills
Experience in digital commerce, e-commerce, or product‑driven environments
Microsoft certifications such as PL-300 or Fabric Analytics Engineer
Experience with data governance, RLS/OLS, metric definitions, data quality, and report certification
Comfortable working in small or mid‑sized data teams where the role remains hands‑on and cross‑functional
Key Responsibilities
Lead the BI and analytics function while remaining hands‑on with development and delivery
Own Power BI semantic models, datasets, reports, workspace organization, and reporting standards
Manage and mentor BI developers through design reviews, modeling reviews, and technical guidance
Build dashboards and reporting solutions that deliver clear, actionable business insights
Own Gold‑layer analytics data within Microsoft Fabric and ensure it is ready for Power BI and Direct Lake consumption
Use SQL, Spark, or PySpark to shape curated analytics data for reporting use cases
Partner with Data Engineering to define schemas, data contracts, quality expectations, and freshness requirements
Work directly with stakeholders to define KPIs, prioritize analytics initiatives, and validate reporting outputs
Support self‑service BI while maintaining governance, consistency, and trust in the data
Communicate findings clearly through written updates, presentations, and stakeholder discussions
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Sprachkenntnisse
- English
Hinweis für Nutzer
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