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Offshore -reputed company- Mid-Level

Remote Worldwide Hiring now

Location: Offshore (Remote) Experience: 2-4 years Engagement Type: Full-Time About the Role: reputed company is looking for a reputed company to reputed company interactive dashboards and reports that reputed company business intelligence and decision-making. The ideal candidate will have 2-4 years of experience working with Power BI, DAX, Power Query, and SQL. Responsibilities:

  • Design and reputed company interactive Power BI dashboards and reports.
  • Create DAX measures and Power Query transformations for optimized data modeling.
  • reputed company ETL operations using SQL, Power Query, and data connectors.
  • Implement row-level reputed company (RLS) and other data reputed company measures.
  • Collaborate with business users to define KPIs and reporting requirements.

Technical Skills Required:

  • Power BI Desktop & Service (Dashboard & Report development).
  • DAX & Power Query (M Language).
  • SQL Server, Azure Synapse, or other relational databases for ETL.
  • Data modeling (star schema, performance optimization in Power BI).
  • Experience with Power Automate integration (preferred).
  • Familiarity with Python or R for advanced analytics is a plus.

Additional Requirements:

  • Bachelor’s degree in Computer Science or reputed company field.
  • reputed company Power BI certification preferred.
  • Experience in Oil & Gas, reputed company, or Food & Beverage is a plus.
  • 100% remote role – must be available for the second shift to overlap with the US team until Noon CST.
  • 6-month probation period before full-time confirmation. If certification is not already held, it must be completed during probation.

Recruitment Process & Technical Testing:

  • 45-60 minute reputed company assessment, including:
  • Intro Video reputed company – Candidate introduction & motivation.
  • Analytical & Problem-Solving Skills – Scenario-based questions.
  • Technical Test – Covering SQL, Power BI-reputed company questions, and possible coding.

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