Power BI Developer: Data Modeling & ETL Expert

MassGenics, Inc.

Charlotte, Northern (NC, KY)

Hybrid

USD 66,000 - 72,000

Full time

5 days ago
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Benefits offered by this job

Medical coverage
Dental & Vision
401(k)
HSA / FSA
Life Insurance
Disability insurance
Pet Insurance
Sick time

Job summary

Innova Solutions is seeking a Power BI Developer for a 6-month contract in Charlotte, NC and Irving, TX. You will design, develop, and optimize BI solutions and dashboards to support analytics initiatives.

The ideal candidate has expertise in Power BI, data modeling, ETL, GitHub, Python, and creates scalable data pipelines and reports. This role requires collaboration on complex initiatives with cross-functional teams and a strong commitment to data quality and compliance.

Qualifications

  • Power BI, data integration, modeling, and analytics to build scalable BI solutions.
  • Design, build, test, and support automated ETL pipelines for Power BI semantic models, reports, and dashboards
  • Integrate and transform data from enterprise sources using reusable, scalable ingestion patterns.

Responsibilities

  • Consult on complex initiatives with broad impact and large-scale planning for Analytics
  • Review and analyze complex multi-faceted larger scale or longer-term Analytics challenges that require in-depth evaluation of multiple factors
  • Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function policies procedures and compliance requirements that meet deliverables

Skills

Power BI
Data Modeling
ETL
GitHub
Python
Dashboard & Reports

Tools

Power BI
Python
GitHub

Job description

Innova Solutions is seeking a Power BI Developer for a 6-month contract in Charlotte, NC and Irving, TX. You will design, develop, and optimize BI solutions and dashboards to support analytics initiatives.

The ideal candidate has expertise in Power BI, data modeling, ETL, GitHub, Python, and creates scalable data pipelines and reports. This role requires collaboration on complex initiatives with cross-functional teams and a strong commitment to data quality and compliance.

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