Remote Power BI & Learning Analytics Specialist

Niit Learning Systems

United States

Remote

USD 55,000 - 83,000

Full time

8 days ago
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Job summary

Niit Learning Systems is seeking a Data Analytics Specialist to maintain, enhance, and support Learning Analytics platforms, including Power BI dashboards, Power Apps, and SharePoint sites. This contract role focuses on reliability, accuracy, and continuous improvement across our analytics ecosystem, with collaboration across global stakeholders.

The position offers flexible remote work, 6-month engagement with potential for extended or varied hours, and a chance to automate data pipelines and

Qualifications

  • Advanced Power BI development and administration.
  • Power Apps development and support experience.
  • SharePoint administration and site management expertise.
  • Advanced Excel skills: Power Query, Pivot Tables, data modelling, advanced formulas.

Responsibilities

  • Maintain and support Power BI reporting solutions and analytics portals.
  • Monitor data refreshes and resolve data quality issues.
  • Troubleshoot issues across Power BI, Power Apps, SharePoint and data sources.
  • Develop new reports, dashboards, and visualizations from business requirements.
  • Integrate new data sources and automate reporting processes.
  • Provide user guidance and training for analytics portals.

Skills

Power BI development
Power Apps development
SharePoint administration
Advanced Excel
Data modelling
Analytics dashboards
Stakeholder management
Independent work

Tools

Power BI
Power Apps
SharePoint

Job description

Niit Learning Systems is seeking a Data Analytics Specialist to maintain, enhance, and support Learning Analytics platforms, including Power BI dashboards, Power Apps, and SharePoint sites. This contract role focuses on reliability, accuracy, and continuous improvement across our analytics ecosystem, with collaboration across global stakeholders.

The position offers flexible remote work, 6-month engagement with potential for extended or varied hours, and a chance to automate data pipelines and

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