Job Requirements
Job Description
Data Analyst/Dashboard Developer
Location: Hampton, VA
Required Clearance: Top Secret
Since 1999, ITEC has delivered mission-critical support to the DoD and Intelligence Community. Now part of ManpowerGroup Public Sector (MGPS), we continue that work with expanded capabilities. Employees hired through this process will join MGPS and receive a comprehensive benefits package and competitive pay.
U.S. Citizenship Mandatory: Due to our US federal government contract, candidates for this position are required to be a US Citizen and will be subject to a background investigation.
Job Description:
The Data Analyst / Dashboard Developer builds, maintains, and continuously improves theâ¯live Performance Dashboardâ¯that serves as the authoritative source for all contract performance data. Integrate data feeds from training systems, token management platforms, help desk operations, and workflow development pipelines into a unified dashboard accessible to the Contracting Officer's Representative (COR) and ACC leadership without requiring manual reports from the Program Manager. This is not a periodic reporting role. Build aâ¯real-time performance intelligence systemâ¯that enables proactive decision-making, identifies emerging risks before they become performance failures, and demonstrates mission value through documented metrics. Works directly determines whether ACC leadership trusts the data they see—or whether they question every number.
Job Responsibilities:
Live Performance Dashboard Development & Maintenance:
- Build and deploy theâ¯live Performance Dashboardâ¯withinâ¯60 days of contract awardâ¯onâ¯Power. BIâ¯hosted on FedRAMP-authorized orâ¯DAF365â¯platforms.
- Integrate data feeds from multiple source systems including:
- Token and License Management System (TLMS)⯖ token allocation, utilization, compliance status by wing and directorate
- Learning Management System (LMS)⯖ training completions, assessment scores, proficiency tracking
- Help Desk Ticketing System⯖ response times, resolution rates, recurring issue categories
- Integrated Master Schedule (IMS)⯖ task completion, schedule performance, milestone tracking
- Workflow Development Pipeline⯖ prototype status, transition timelines, ROI documentation
- Ensure dashboard displays all six PWS-required KPI categories:
- Training completions prior to access grant
- Token and license utilization by wing and directorate
- AI and RPA workflow development and transition status
- Help desk response and resolution rates
- Travel execution against approved wing visit schedules
- Quarterly performance trends and year-over-year comparisons
Data Integration & Quality Assurance:
- Establish automated data pipelines from source systems to the dashboard withâ¯daily refresh cyclesâ¯(or more frequent where technically feasible).
- Validate data accuracy through cross-referencing with source system reports and manual audits.
- Identify and resolve data quality issues including missing records, duplicate entries, and classification mismatches.
- Coordinate with theâ¯Token/Resource Administrator,â¯Help Desk Analysts, andâ¯Program Analystâ¯to ensure source data integrity.
- Document all data transformation logic, calculation methodologies, and business rules in technical specifications.
- Maintain a data dictionary defining every metric, dimension, and KPI displayed on the dashboard.
Quarterly Performance Brief Data Packages:
- Generate comprehensiveâ¯Quarterly Performance Brief data packagesâ¯for PM and COR reviewâ¯5+ business daysâ¯before scheduled briefs.
- Produce executive summary slides showing KPI trends, QASP standard compliance, and performance variance analysis.
- Develop drill-down appendices with wing-level breakouts, directorate comparisons, and time-series trend charts.
- Coordinate with theâ¯Stakeholder Engagement & KM Specialistâ¯to package metrics into governance-ready narratives.
- Prepare data visualizations optimized for executive audiences (clear, concise, actionable).
- Document all data sources, assumptions, and calculation methods for COR transparency.
Service Desk Trend Analysis & Training Feedback Loop:
- Conductâ¯monthly service desk trend analysisâ¯identifying:
- Top 10 recurring issue categories requiring knowledge base articles or training updates.
- Response and resolution time performance against QAP standards.
- Ticket volume trends by wing, directorate, and platform.
- Knowledge gaps indicating curriculum deficiencies.
- Platform issues requiring vendor escalation or technical advisory engagement.
- Deliver service desk analysis reports to theâ¯Deputy PMâ¯withinâ¯5 business daysâ¯of each month close to feed theâ¯training feedback loop.
- Track time from knowledge gap identification to updated training deployment as a mandatory KPI.
- Measure knowledge base utilization impact on ticket volume reduction over time.
Utilization Analytics & Resource Optimization:
- Analyze token and license utilization patterns to identify:
- Underutilized allocations suitable for reallocation.
- High-demand wings requiring additional resource allocation.
- Cost-sharing opportunities across participating wings.
- Compliance gaps where users received tokens without completing training.
- Generateâ¯monthly utilization reportsâ¯for the Token/Resource Administrator showing allocation efficiency and compliance status.
- Produce cost-per-user and cost-per-wing analytics supporting ACC budget planning.
- Forecast future resource requirements based on training completion trends and wing expansion plans.
Ad Hoc Analysis & Decision Support:
- Respond to ad hoc data requests from the PM, COR, and functional leads withinâ¯2 business days.
- Conduct root cause analysis when KPIs fall below QASP thresholds, identifying contributing factors and corrective action recommendations.
- Supportâ¯RAID logâ¯population with data-driven risk assessments and impact quantification.
- Perform comparative analyses across wings to identify best practices and adoption barriers.
- Develop predictive models forecasting training completion rates, token demand, and workflow development throughput.
Required Skills:
- 3+ yearsâ¯of DoD or federal government data analytics and dashboard development experience.
- Proven track record building executive-level dashboards with automated data integration from multiple source systems.
- Experience supporting performance-based contracts with KPI-driven QASP surveillance.
- Familiarity with DoD data governance, security classification, and PII handling requirements.
- CompTIA Security+â¯(DoD 8140.03 baseline) – Required
- Technical Proficiency (Required)
- Power BIâ¯/ Power Automate proficiency –â¯Requiredâ¯(must have hands-on experience building dashboards with automated data refresh, calculated fields, and drill-down capabilities).
- Advanced proficiency withâ¯Microsoft Excelâ¯(Power Query, Power Pivot, DAX formulas, pivot tables, advanced charting).
- SQLâ¯query writing for data extraction and transformation.
- Experience withâ¯DAF365â¯andâ¯SharePointâ¯environments –â¯Strongly Preferred
- Familiarity withâ¯Power Automateâ¯for workflow automation and data pipeline orchestration
- Analytical Competencies
- Strong statistical analysis and data visualization skills.
- Ability to translate complex data into executive-level narratives and actionable insights.
- Understanding of performance measurement frameworks (KPIs, OKRs, Balanced Scorecard).
- Experience with trend analysis, variance analysis, and predictive modeling.
- Attention to detail in data validation and quality assurance.
Performance Expectations:
Measured against deliverable quality and timeliness:
- Dashboard operational within 60 daysâ¯of contract award with all six PWS KPI categories integrated.
- Daily data refresh cyclesâ¯maintained with 99%+ uptime (excluding planned maintenance).
- Quarterly performance brief data packagesâ¯delivered 5+ business days before scheduled briefs with zero data accuracy issues requiring correction.
- Monthly service desk trend analysisâ¯delivered within 5 business days of month close.
- Ad hoc analysis requestsâ¯completed within 2 business days of PM/COR request.
- Data quality auditsâ¯conducted quarterly with findings documented and corrective actions implemented within 10 days.
Desired Skills:
Microsoft Certified: Data Analyst Associate (Power BI certification).
- Tableau Desktop Specialist or Certified Associate certification.
- Experience with Python or R for advanced statistical analysis.
- Background supporting Air Force or ACC organizations.
- Familiarity with Earned Value Management (EVM) and schedule performance metrics.
- Understanding of AI/ML platforms, RPA tools, or data analytics applications.
- Previous work supporting DoD AI/data initiatives.
- Experience with FedRAMP-authorized cloud platforms (Azure Government, AWS GovCloud).