Senior Power BI / Decision Intelligence Developer

• Position Type: Part-Time Consultant / Business Intelligence Specialist
• Target Allocation: 12–16 hours/week average (Note: Workload increases substantially during active dashboard construction phases, multi-agency onboarding waves, user acceptance testing, and final platform performance tuning).
• Location: Remote (U.S. Based) with periodic travel to Tallahassee, FL as required.
• Technical Reality: This project requires building highly specialized decision-intelligence dashboards rather than generic KPI displays. Reports must surface actionable anomaly data while preserving strict forensic evidence and source traceability.
• Compensation Type: Milestone / Deliverable-Based Fixed-Price Engagement.

• Decision Intelligence Engineering: Develop advanced decision-intelligence dashboards that present automated anomaly and risk results alongside the granular, supporting transactional evidence needed by forensic investigators.
• Persona-Based Architecture: Build role-based workspace layouts that seamlessly toggle between high-level executive summaries for senior leadership and deep drill-through detail views for agency analysts.
• Scalable Multi-Agency Partitioning: Configure robust security boundaries to build agency-specific data views without creating separate, fragmented codebases or report files.
• Security Framework Enforcement: Implement rigorous role-based access control (RBAC) and row-level security (RLS) data-governance models to ensure individual state agencies can never see cross-agency data without explicit authorization.
• Value-Realization Modeling: Design and embed standardized, repeatable reporting metrics to quantify statewide oversight impacts, including potential cost avoidance, financial recoveries, identified risk exposure, generated investigative referrals, and realized oversight efficiencies.
• Performance Optimization: Execute deep query performance tuning, data modeling refinement, and calculation optimization to guarantee compliance with legally binding speed and latency contract thresholds.
• Data Quality & Lifecycle Validation: Build embedded data quality and ledger reconciliation reports to verify the continuous field completeness and cross-system correlation accuracy of the underlying data layers.
• Training & UAT Support: Lead hands-on report training sessions and facilitate user acceptance testing (UAT) workshops with state agency program staff, ensuring full system handover.

• Experience Baseline: 8+ years of comprehensive business intelligence, reporting infrastructure, or data analytics experience.
• Tool Stack Depth: 5+ years of advanced, hands-on enterprise Power BI development experience.
• Advanced Code Engineering: Mastery of advanced DAX expressions and Power Query/M script language for complex column manipulation and semantic modeling.
• Architecture Skill: Expert understanding of dimensional data modeling, star schemas, semantic layer development, and enterprise data warehousing.
• Detail Provisioning: Proven history configuring advanced drill-through actions, contextual filters, and transaction-level details views that retain full lineage to cloud data tables.
• Data Export Design: Experience establishing uniform reporting frameworks and export-ready formatting parameters for pristine PDF and Excel output retention.
• Cloud Integration: Documented experience connecting Power BI directly to advanced Azure data-source architectures.
• Collaborative Skills: Strong background participating in user requirements workshops, mapping business needs, and executing structured validation test scripts.
• Government Context: Verifiable history delivering data analytics or business intelligence solutions for local, state, military, or federal government entities.
• Accessibility Awareness: Structural familiarity with Section 508 accessibility guidelines and government reporting standards.
• Vetting & Location: Must be a U.S.-based citizen or resident. Must be able to successfully clear an FDLE Level II background screening (including fingerprinting) within 5 business days of contract award.

• Prior experience configuring analytics dashboards inside secure Azure Government cloud environments.
• Hands-on experience developing reports that pull directly from Azure Databricks workspaces and Azure Data Lake Storage Gen2 (ADLS Gen2) foundations.
• Background building specialized dashboards for fraud detection, improper payments, procurement risk, contract auditing, or investigative case management.
• Experience deploying reports via automated Power BI deployment pipelines integrated with Git or Azure DevOps version-controlled repositories.

1. The Government Customer: Explicitly name the agency and reporting environment context (e.g., Department of Veterans Affairs, Health and Human Services).
2. Report Scale & Complexity: Specify the exact size of the user base, the volume of underlying data streams integrated, and the precise project duration.
3. Personal Engineering Contribution: Detail exactly what you personally coded or configured (e.g., "Engineered advanced DAX row-level security models," "Optimized semantic data models to resolve query latency bottlenecks").
4. System Status: Explicitly state the true production, operational, or steady-state status of the dashboards you deployed.
5. Quantifiable Delivery Results: Include the precise performance and quality metrics achieved, such as maintaining dashboard page loads under 5 seconds, query response times, or percentage numbers for data validation completeness.

“We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status”

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