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Power BI & SSRS Business Intelligence Developer Data Infrastructure · Remote; US Posted

Remote / Online - Candidates ideally in
Murray, Calloway County, Kentucky, 42071, USA
Listing for: CYFR Technology
Full Time, Remote/Work from Home position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Business Intelligence, Data Warehousing
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below

Power BI & SSRS Business Intelligence Developer

Full-time

Our executive dashboards, reseller performance reports, and financial analytics run on Power BI with data sourced from SQL Server Analysis Services tabular models. We need a BI developer who builds star schemas on instinct and can write a DAX measure that handles a time intelligence calculation with bidirectional cross-filtering without looking at the docs.

Responsibilities
  • — Build and maintain Power BI reports and dashboards for finance, sales, operations, and compliance teams
  • — Design and develop SSAS tabular models (compatibility level 1600) — partitions, calculated tables, calculation groups
  • — Write complex DAX measures: time intelligence, semi-additive measures, row-level security patterns
  • — Maintain SSRS paginated reports for regulatory filings, customer statements, and operational checklists
  • — Build and maintain ETL pipelines (SSIS and/or Azure Data Factory) populating the enterprise data warehouse
  • — Document data lineage, calculation logic, and report specifications for change management
Requirements
  • — 5+ years of Power BI development, including Power BI Service administration
  • — Expert-level DAX — you understand filter context, context transition, and can debug with DAX Studio
  • — Experience designing SSAS tabular models and managing partitions and processing strategies
  • — Strong T-SQL — complex joins, CTEs, window functions, query optimization
  • — Experience with SSRS report design: parameters, subreports, drill-through, expressions
Nice to Have
  • — Experience with Power BI Embedded for customer-facing analytics
  • — Knowledge of Azure Analysis Services migration path
  • — Familiarity with Microsoft Fabric — Lakehouse, SQL endpoint, Direct Lake mode
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