Power BI Developer / Data Analyst
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Role details
Tech stack
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Job description
- Perform deep analysis of budget, acquisition, finance, and investment-portfolio data and deliver Power BI solutions that surface key drivers of performance.
- Mine, import, cleanse, and transform data from multiple sources; collect, audit, compile, and validate data for accuracy and completeness.
- Build and maintain semantic models, relationships, DAX measures, and, where required, machine-learning models or AI visuals.
- Create custom charts, calculations, filters, and interactive dashboards; produce ongoing and ad hoc reports using statistical or relational techniques.
- Document data models, relationships, algorithms, and lineage; maintain a data dictionary.
- Develop and implement enterprise BI and data-integration frameworks, workspace standards, and a Power BI roadmap for business process improvement.
- Support the OCIO training manager with Power BI training content; collaborate with process-improvement SMEs to visualize workflows; produce website trend-analysis reports.
- Ensure Power BI reports conform to Section 508 (alt text, tab order, contrast, accessible themes).
Requirements
- 5+ years of BI/analytics experience; 3+ years developing Power BI solutions in an enterprise environment.
- Demonstrated experience analyzing financial, budget, or acquisition data and presenting findings to non-technical leadership.
- Experience establishing BI standards or governance (workspace structure, naming, certification of datasets) and delivering user training.
- Bachelor’s degree in Data Analytics, Statistics, Computer Science, Finance, or related field (or equivalent experience).
- Certification: Microsoft Certified Power BI Data Analyst Associate (PL-300) or Fabric Analytics Engineer Associate (DP-600). Preferred: Azure Data Fundamentals (DP-900); Trusted Tester or 508 report-accessibility training.
- Eligible for a federal Public Trust background investigation and PIV credential., * Power BI Desktop and Service: workspaces, apps, gateways, deployment pipelines, row-level security
- DAX (measures, time intelligence, calculation groups)
- Power Query (M), dataflows, incremental refresh
- Dimensional modeling (star schema), SQL (T-SQL), SharePoint/Excel/Dataverse connectors
- Statistical analysis; Python or R for advanced analytics; Azure ML or Power BI AI visuals
- Data documentation tools, data dictionaries, lineage views
- Accessible report design (WCAG/508 for Power BI)
Functional Skills
- Financial and acquisition data analysis and KPI design
- Data quality auditing and validation
- BI governance, standards, and roadmap development
- Training content development and delivery
- Process and workflow visualization
Professional Skills
- Translating business questions into analytical designs
- Storytelling with data for executive audiences
- Collaboration with finance, acquisition, and program SMEs
- Attention to detail and data stewardship
Skills: Analysis Skills, Artificial Intelligence (AI), Auditing, Background Investigation, Budgeting, Business Intelligence, Computer Science, Content Delivery/Distribution, Content Development, Data Analysis, Data Collection, Data Quality, Data Sets, Desktop PC, Detail Oriented, Dimensional Modeling, Documentation, Finance, Financial Analysis, Financial Reporting, Machine Learning, Microsoft Certifications, Microsoft SharePoint, Microsoft Transact-SQL (T-SQL), Microsoft Windows Azure, Performance Metrics, Power BI, Process Improvement, Python Programming/Scripting Language, R Programming Language, Reporting Dashboards, SQL (Structured Query Language), Section 508, Standards Development, Star Schema, Statistics, Stewardship, Storytelling, Technical Leadership, Training/Teaching, Training/Teaching Materials, Trend Analysis, Web Analytics, Web Content Accessibility Guidelines (WCAG)
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