Business Intelligence Technical Lead

Full Time

    Skills

    Business IntelligenceManagerITManagementSalesEngineeringQualityAzureSystemDevelopment

    Job Description

    Business Intelligence Technical Lead in Charlotte, North Carolina

    Posted 06/10/22

    THE TEAM YOU WILL BE JOINING:
    • Large, well-established international consumer products company with a large, growing presence in the greater Charlotte market
    • Recognized for having one of the most iconic brands in their industry as well as a deep heritage of performance, compelling innovation, and product diversification
    • Leadership has in-depth industry knowledge and expertise; very committed to the business, its customers, and its product, but most importantly it's people
    • A fun, fast-paced, and innovative working environment with a philosophy of developing and investing in talent

    WHAT THEY OFFER YOU:
    • Opportunity to be a part of a growing, innovative team
    • Open door policy and collaborative team that welcomes, and strongly encourages creativity and new ideas
    • Chance to gain valuable experience in the consumer goods products industry
    • Fun, lively company campus for individuals who would like to be in office but flexibility of hybrid work schedules
    WHY THIS ROLE IS IMPORTANT:
    • Collaborate with functional area leadership to understand business goals and develop KPIs
    • Develop an understanding of each team's information needs, work towards data accuracy and completeness, and translate the data into actionable information
    • Create reporting solutions to drive business performance
    • Work under the guidance of the BI Manager to design, develop, test and implement ETL processes and data models using Microsoft's BI technology platform
    THE BACKGROUND THAT FITS:
    • 4-5 years of IT experience:
      • Supporting Order Management, Sales, Marketing, Engineering, Quality or Finance business areas
      • Integrations, database design, data warehousing, and Business Intelligence concepts using the Microsoft BI platform, including ETL tools like SSIS or Azure Data Factory
      • Using and supporting Power BI, Power Query, and SSAS (both Multi-Dimensional and Tabular)
    • Drive process improvements by following a System Development Lifecycle process
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