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Decision Resources

Business Analytics Practice Lead

Decision Resources

Business Analytics Practice Lead overseeing consulting practice to help clients leverage analytics. Responsible for defining strategies and developing tools on Omni and Microsoft BI platforms.

Posted 6/25/2026full-timeRemote • Pennsylvania • 🇺🇸 United StatesSeniorWebsite

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Power BIBirstOmniDAXSQLdata modelinganalytics governanceKPI definitiondimensional data modelsstar-schema data models
Soft Skills
mentoringcommunicationstakeholder partnershipleadershipalignment in reporting
Tools & Technologies
Microsoft BIInfor Birstcloud data warehousessemantic layersLookMLdbt metrics
Industry Keywords
data analyticsbusiness intelligenceanalytics solutionsexecutive-level insightsreusable analytics content

Tech Stack

Tools & technologies
CloudSQL

About the role

Key responsibilities & impact
  • Build and lead a consulting practice focused on helping clients leverage analytics
  • Define analytics advisory approach and create executive-level insight frameworks
  • Develop reusable analytics content and tools on Omni and Microsoft BI, Infor Birst platforms
  • Mentor BI developers and analysts, ensuring alignment in reporting outputs
  • Lead design, development, and deployment of analytics solutions using Power BI, Birst, and Omni
  • Partner with stakeholders to define KPIs and metrics, delivering actionable insights
  • Design dimensional and star-schema data models optimized for analytics
  • Establish analytics governance standards and maintain documentation for data definitions

Requirements

What you’ll need
  • Bachelor’s degree in Data Analytics, Computer Science, Information Systems, or related field (or equivalent experience)
  • 5+ years of experience in business intelligence, analytics, or data roles
  • 3+ years of hands-on Power BI experience
  • Experience building or managing semantic layers (Omni, LookML, dbt metrics, or similar)
  • Strong skills in DAX, SQL, and data modeling
  • Experience working with modern cloud data warehouses
  • Strong communication skills with the ability to explain data concepts to non-technical audiences.

Benefits

Comp & perks
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development