Sr. Data Analyst

Latitude IncWashington, DC
1d$38 - $46

About The Position

This role will focus on auditing, reverse-engineering, and migrating legacy reports from SSRS, Qlik Sense/View, and Tableau into scalable Microsoft Power BI solutions. The ideal candidate brings deep expertise in T-SQL, Qlik scripting, and DAX, with a strong background in rebuilding complex, high-precision reports into interactive and performance-optimized dashboards.

Requirements

  • 3+ years of hands-on experience with Power BI Desktop, Power Query, DAX, and Power BI Service
  • Strong expertise in SQL Server Reporting Services (SSRS), including RDL development
  • Proven experience with Tableau
  • Experience with Qlik Sense or QlikView scripting and data modeling
  • Expert-level T-SQL skills, including complex joins, CTEs, and stored procedures
  • Experience migrating or re-engineering reports from legacy BI platforms
  • Strong understanding of data warehousing concepts, ETL processes, and database optimization

Nice To Haves

  • Experience developing Power BI Paginated Reports using Report Builder for pixel-perfect reporting requirements

Responsibilities

  • Analyze existing SSRS and Qlik report inventories, including RDLs, QVDs, datasets, and report subscriptions
  • Evaluate and prioritize migration strategy based on complexity and business impact
  • Extract complex business logic, calculations, and parameters from SSRS stored procedures and expressions
  • Interpret Qlik set analysis and load scripts for accurate logic replication
  • Rebuild complex dashboards and pixel-perfect reports using Power BI Desktop and Report Builder
  • Develop optimized datasets, dataflows, and advanced DAX measures
  • Convert Qlik scripting and set analysis into DAX and Power Query (M)
  • Transform legacy relational and associative models into efficient star-schema Power BI semantic models
  • Apply best practices in performance optimization and scalability
  • Ensure functional parity between legacy and new reports
  • Conduct reconciliation, automated testing, and stakeholder user acceptance testing
  • Implement row-level security (RLS), workspace governance, and data sensitivity controls
  • Adhere to enterprise reporting standards and compliance requirements
  • Document report logic, data lineage, technical specifications, and user guides
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