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Data Analyst/Dashboard Developer
- Hampton, Virginia, United States
- Hampton, Virginia, United States
Über
We offer competitive compensation and an extraordinary benefits package including health, dental and vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three weeks paid time off, and more.
Role Overview The Data Analyst/Dashboard Developer builds, maintains, and continuously improves a live Performance Dashboard that serves as the authoritative source for all contract performance data. The dashboard integrates data feeds from multiple source systems and enables real‑time performance intelligence, proactive decision‑making, and risk identification.
Essential Job Functions
Live Performance Dashboard Development & Maintenance
Build and deploy the live Performance Dashboard within 60 days of contract award on Power BI hosted on FedRAMP‑authorized or DAF 365 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 with daily refresh cycles (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 the Token/Resource Administrator, Help Desk Analysts, and Program Analyst 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 comprehensive quarterly performance brief data packages for PM and COR review 5+ business days 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 the Stakeholder Engagement & KM Specialist 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
Conduct monthly service desk trend analysis 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 the Deputy PM within 5 business days of each month close to feed the 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.
Generate monthly utilization reports 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 within 2 business days.
Conduct root cause analysis when KPIs fall below QASP thresholds, identifying contributing factors and corrective action recommendations.
Support RAID log 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.
Working Conditions
Physical Demands:
Prolonged periods of sitting and working at a computer workstation; Visual acuity for detailed technical work and data analysis; Manual dexterity for typing, coding, and operating computer equipment.
Schedule and Availability
Core hours: 0800‑1700 EST, Monday‑Friday, with occasional extended hours to meet mission deadlines or support operational events.
Flexibility: Occasional early morning or evening meetings to accommodate wing schedules across time zones.
Surge periods: Increased hours during major milestones, events, or exercises (with advance notice).
On‑call: Not required, but responsiveness to urgent issues expected (email/phone within 4 hours during duty hours).
Telework: No telework eligibility for unclassified administrative tasks; all classified work must be performed on‑site in approved facilities.
Security environment: Work with classified information up to Top Secret/SCI level; Compliance with OPSEC, CUI handling, and classification protocols; Subject to security inspections, audits, and continuous evaluation; Adherence to base access, badge, and facility security requirements.
Required Qualifications
Top Secret clearance required at start (no interim acceptable); upgrade to TS/SCI.
3+ years 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+ (DoD 8140.03 baseline) – Required.
Technical Proficiency (Required)
Power BI / Power Automate proficiency – required (must have hands‑on experience building dashboards with automated data refresh, calculated fields, and drill‑down capabilities).
Advanced proficiency with Microsoft Excel (Power Query, Power Pivot, DAX formulas, pivot tables, advanced charting).
SQL query writing for data extraction and transformation.
Experience with DAF 365 and SharePoint environments – strongly preferred.
Familiarity with Power Automate 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
Dashboard operational within 60 days of contract award with all six PWS KPI categories integrated.
Daily data refresh cycles maintained with 99%+ uptime (excluding planned maintenance).
Quarterly performance brief data packages delivered 5+ business days before scheduled briefs with zero data accuracy issues requiring correction.
Monthly service desk trend analysis delivered within 5 business days of month close.
Ad hoc analysis requests completed within 2 business days of PM/COR request.
Data quality audits conducted quarterly with findings documented and corrective actions implemented within 10 days.
Preferred Qualifications
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).
Equal Employment Opportunity Policy The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment.
If you require an accommodation to navigate or apply for a position on our website, please get in touch with Heaven Wood via e‑mail at accommodations@koniag‑gs.com or by calling 703‑488‑9377 to request accommodations.
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Sprachkenntnisse
- English
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