Head of Enterprise Analytics & BI Platform

FFF Enterprises, Inc.

Flower Mound (TX)

In loco

USD 120.000 - 180.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

FFF Enterprises, Inc. is seeking a Manager, Business Analytics to provide strategic leadership for the enterprise analytics, reporting, and data platform ecosystem.

You will maximize business value from Power BI, Fabric, and Databricks, delivering scalable analytical solutions and trusted insights. You will partner with business leaders, Data Engineering, Data Governance, and IT to establish a modern analytics operating model, ensuring alignment with enterprise standards and accelerating

Competenze

  • Bachelor's degree or four years of related experience in lieu of degree.
  • Deep knowledge of Power BI, Fabric, and Databricks.
  • Experience leading analytics, BI, reporting, and data platforms.

Mansioni

  • Lead analytics strategy and roadmap for Power BI, Fabric, and Databricks.
  • Establish governance, standards, and delivery priorities for scalable analytics.
  • Partner with data engineering to leverage lakehouse and cloud architecture.
  • Define goals and KPIs aligned with analytics objectives.
  • Drive adoption of self-service analytics through certified data products.

Conoscenze

Leadership
Analytics strategy
Stakeholder management
Cloud analytics
Executive communication

Formazione

Bachelor's degree in Business Administration, Information Systems, Computer Science, Data Analytics, Finance, or related

Strumenti

Power BI
Microsoft Fabric
Databricks
Azure Data Platform

Descrizione del lavoro

FFF Enterprises, Inc. is seeking a Manager, Business Analytics to provide strategic leadership for the enterprise analytics, reporting, and data platform ecosystem.

You will maximize business value from Power BI, Fabric, and Databricks, delivering scalable analytical solutions and trusted insights. You will partner with business leaders, Data Engineering, Data Governance, and IT to establish a modern analytics operating model, ensuring alignment with enterprise standards and accelerating

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