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Data Analytics Associate Jobs in Virginia (NOW HIRING)

Data Intelligence LLC

Senior Data Analyst

Quantico, VA

$91K - $114K/yr

This role focuses on advanced data analytics, statistical modeling, and integration of data-driven ... Microsoft Technical Associate (MTA), MCPD, MCSD, MCSE * Certificate of Cloud Security Knowledge ...

Data Intelligence LLC

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

This role focuses on advanced data analytics, statistical modeling, and integration of data-driven ... Microsoft Technical Associate (MTA), MCPD, MCSD, MCSE * Certificate of Cloud Security Knowledge ...

Geo Owl

Data Analyst

Springfield, VA · On-site

Support ETL capabilities: data analytics, cleaning, analyst workflow efficiencies, and ... Education: Associate's = 2 pts • Bachelor's = 3 pts • Master's = +2 pts • PhD = +3 pts

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All JobsData Analytics Associate JobsData Analytics Associate Jobs in Virginia

Data Analytics Associate information

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How much do data analytics associate jobs pay per month?

As of Jul 25, 2026, the average monthly pay for data analytics associate in Virginia is $6,236.67, according to ZipRecruiter salary data. Most workers in this role earn between $5,658.33 and $6,650.00 per month, depending on experience, location, and employer.

What is an associate data analyst?

An associate data analyst is an entry-level or junior role responsible for collecting, processing, and analyzing data to support business decision-making. They often use tools like Excel, SQL, and data visualization software, and typically work under the supervision of more experienced analysts to develop their skills and understanding of data analysis processes.

What does a Data Analytics Associate do?

A Data Analytics Associate is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and data visualization techniques to identify trends, patterns, and insights from large datasets. Typically, they collaborate with different departments to interpret results, create reports, and provide actionable recommendations for process improvements or strategic planning. Their work is crucial for organizations looking to leverage data for competitive advantage.

Is an Associates in data analytics worth it?

An associate's degree in data analytics can provide foundational skills in data collection, analysis, and visualization, which are valuable for entry-level roles such as Data Analytics Associate. However, many employers also value relevant certifications and practical experience, so combining the degree with hands-on projects can enhance job prospects.

What can you do with an associate's in data analytics?

A Data Analytics Associate can analyze data sets, create reports, and support decision-making processes using tools like Excel, SQL, and data visualization software. This role often involves cleaning data, identifying trends, and working with teams to improve business outcomes, typically requiring strong analytical skills and attention to detail.

How does a Data Analytics Associate typically collaborate with other departments within a company?

Data Analytics Associates frequently work cross-functionally, partnering with teams such as marketing, finance, and operations. They help these departments interpret data, identify trends, and develop actionable insights that inform decision-making. Collaboration often involves attending meetings, participating in project teams, and communicating findings through reports or presentations. This close teamwork not only enhances business outcomes but also provides associates with exposure to different aspects of the organization, fostering professional growth.

What are the key skills and qualifications needed to thrive as a Data Analytics Associate, and why are they important?

To thrive as a Data Analytics Associate, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, economics, or computer science. Familiarity with data analysis tools such as SQL, Python, Excel, and visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings. These skills ensure accurate data-driven insights that support informed business decisions and drive organizational success.

Will AI replace data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace the need for human analysts. Data analysts are essential for interpreting complex data, making strategic decisions, and providing context that AI tools cannot fully replicate. Skills in data visualization, statistical analysis, and understanding business needs remain critical for the role.
What are the most commonly searched types of Data Analytics jobs in Virginia? The most popular types of Data Analytics jobs in Virginia are:
What cities in Virginia are hiring for Data Analytics Associate jobs? Cities in Virginia with the most Data Analytics Associate job openings:
Data Analytics Associate jobs near you
Infographic showing various Data Analytics Associate job openings in Virginia as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $74,840 per year, or $36 per hour.
Data Analyst / Dashboard Developer (Secret Clearance)

Data Analyst / Dashboard Developer (Secret Clearance)

System One

Hampton, VA • On-site

Contractor

Posted 17 hours ago

Job description

Data Analyst/Dashboard Developer Secret clearance required must be able to obtain TS/SCI Must be Security+ certified Langley Air Force Base, VA – onsite Direct Hire The Data Analyst / Dashboard Developer builds, maintains, and continuously improves the?live Performance Dashboard?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 a?real-time performance intelligence system?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. Required Qualifications: • 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?DAF365?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 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) 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?DAF365?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 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) 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 Performance Expectations: Measured against deliverable quality and timeliness: • 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 Ref: #851-Rockville-S1 #M1 #LI-VH1