Salary
Not listed
Posted
8h ago
Source
himalayas
Title:Power BI Consultant
Location: Remote
Education: Any Degree ( Computer Science )
Exp Level: 6+ Years
Job Description:
4–8+ years of experience in Business Intelligence, Data Analytics, and Reporting Solutions
Strong experience in Microsoft Power BI development.
Expertise in DAX, Power Query (M Language), and data modeling.
Hands-on experience with SSRS (SQL Server Reporting Services).
Advanced SQL development skills on SQL Server.
Experience with Power BI Service, Gateways, Workspaces, and Deployment Pipelines.
Strong understanding of data warehousing concepts and dimensional modeling.
Knowledge of report performance tuning and optimization techniques.
Experience working with large datasets and complex reporting environments.
Preferred Skills:
Experience with Azure Data Factory, Azure Synapse, Microsoft Fabric, or Databricks.
Knowledge of SSIS and SSAS.
Experience with Paginated Reports in Power BI.
Familiarity with CI/CD and DevOps practices.
Exposure to REST APIs and data integration techniques.
Nice-to-Have Experience:
SSRS to Power BI migration projects.
Financial, Sales, Operations, or Supply Chain reporting.
Agile/Scrum delivery environments.
Enterprise BI governance and security frameworks.
Power BI Development:
Design, develop, and maintain interactive Power BI dashboards, reports, and scorecards.
Develop efficient data models using star and snowflake schemas.
Create complex calculations, KPIs, and business metrics using DAX.
Implement row-level security (RLS) and data governance best practices.
Optimize report performance and manage Power BI datasets and workspaces.
Publish, schedule, and maintain reports in Power BI Service.
SSRS Reporting:
Develop, modify, and support operational and analytical reports using SSRS.
Build paginated reports and pixel-perfect reporting solutions.
Maintain existing SSRS report catalog and subscriptions.
Troubleshoot report performance and data retrieval issues.
Support migration of legacy SSRS reports to Power BI where applicable.
Before you apply
- Confirm data stack maturity (warehouse, transformation, BI tooling)
- Ask whether the role is analyst-leaning or ML/eng-leaning
- Check data quality ownership — who owns the source-of-truth?
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