BI & Data Warehouse Lead – Azure, Tableau, Power BI

CGS Business Solutions

Dallas (TX)

Sur place

USD 140 000 - 150 000

Plein temps

Il y a 10 jours

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Résumé du poste

CGS Business Solutions is seeking a seasoned Manager of BI & Data Warehouse for a long-time client in the Financial Services sector. This full-time role leads the enterprise data and reporting platform, managing BI developers and data warehouse engineers.

You will drive architecture, design scalable data models, ETL pipelines, and advanced analytics using SQL Server, Azure Data Factory, Tableau, and Power BI, ensuring data quality, governance, and secure reporting across the organization.

Qualifications

  • 7+ years of BI and data warehousing experience.
  • 2+ years in a leadership role overseeing BI teams.
  • Strong SQL Server and T-SQL skills.
  • Experience with Azure Data Factory and ETL development.
  • Experience with Tableau and Power BI.

Responsabilités

  • Lead and manage BI developers and data warehouse engineers.
  • Architect and oversee enterprise data warehouse using SQL Server and Azure.
  • Design and maintain ETL pipelines using Azure Data Factory and SSIS.
  • Develop dimensional data models for reporting and analytics.
  • Build and manage Tableau dashboards and datasets.
  • Support Power BI reporting initiatives.
  • Optimize SQL queries, stored procedures, and data pipelines.
  • Ensure data quality, governance, and security.
  • Collaborate with teams integrating LOS, Salesforce, and vendor data.
  • Support executive reporting and analytics needs.

Connaissances

BI / Data experience
Leadership
SQL Server / T-SQL
Azure Data Factory
Tableau
Power BI
Data modeling

Outils

SSIS
Azure Synapse
Azure Fabric

Description du poste

CGS Business Solutions is seeking a seasoned Manager of BI & Data Warehouse for a long-time client in the Financial Services sector. This full-time role leads the enterprise data and reporting platform, managing BI developers and data warehouse engineers.

You will drive architecture, design scalable data models, ETL pipelines, and advanced analytics using SQL Server, Azure Data Factory, Tableau, and Power BI, ensuring data quality, governance, and secure reporting across the organization.

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