Demo

Sr BI Engineer (PowerBI)

Gardner Resources Consulting, LLC
Secaucus, NJ Contractor
POSTED ON 3/19/2025
AVAILABLE BEFORE 5/16/2025

Senior Business Intelligence Engineer


Must Have:

  • 5 years of Power BI application development experience including visualizations, parameters, and report optimization
  • 3 years of Tableau application development experience, including visualizations, parameters, and report optimization
  • 5 years of hands-on SQL Experience
  • 3 years of working on Power BI or Tableau Administration Responsibilities (Permissions, Server Maintenance and upgrades, Monitoring)
  • 3 years working in Python, Pandas Data Frames, API-driven workflows.
  • Expertise across multiple BI platforms and data visualization tools include Tableau and Power BI
  • Strong experience with performance tuning business intelligence and database platforms for maximum performance in each technical configuration
  • Expertise with multiple database platforms including relational databases (ie. SQL Server and Oracle) as well as cloud-based data warehouses such as Microsoft Fabric and Snowflake
  • Experience with both server and desktop-based data visualization tools
  • Expertise with managing and mining very large internal and external data sets
  • Experience with sourcing external data sets to meet business needs
  • Demonstrated experience with testing business hypotheses, asking the right questions to provoke thoughts from business users and ultimately using data to test and validate hypothesis
  • Very strong experience with quickly building data visualization worksheets and dashboards to analyze, view and interpret data sets
  • Hands-on experience with Python for building automations for business processes
  • Demonstrated experience with using predictive, prescriptive and descriptive data analytics to test, question and solve business problems
  • Have a consulting mindset when working with internal clients across multiple departments of the organization
  • Ideally familiar with financial services datasets across investment, product and distribution functions.
  • Bachelor’s degree in Computer Science or equivalent, with a strong preference in a Data-centric major.

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