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Manager Data Analytics Engineer Jobs in Hampton, VA

Ironclad Defense Works

Data Scientist / AI Engineer

Norfolk, VA · On-site

$115 - $130/hr

  • Medical

  • Dental

  • Retirement

  • PTO

Create dashboards, reports, and visual analytics for senior and non-technical stakeholders. * Provide technical briefings, mentoring, and training in AI engineering, data science, API development ...

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Showing results 21-40

All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Hampton, VA

Manager Data Analytics Engineer information

See Hampton, VA salary details

$43K

$125.4K

$171.5K

How much do manager data analytics engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for manager data analytics engineer in Hampton, VA is $125,363.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,700.00 and $132,900.00 per year, depending on experience, location, and employer.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a manager data analytics engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

What are the most commonly searched types of Data Analytics Engineer jobs in Hampton, VA?

The most popular types of Data Analytics Engineer jobs in Hampton, VA are:

What are popular job titles related to Manager Data Analytics Engineer jobs in Hampton, VA?

For Manager Data Analytics Engineer jobs in Hampton, VA, the most frequently searched job titles are:

What job categories do people searching Manager Data Analytics Engineer jobs in Hampton, VA look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Hampton, VA are:

What cities near Hampton, VA are hiring for Manager Data Analytics Engineer jobs?

Cities near Hampton, VA with the most Manager Data Analytics Engineer job openings:

Manager Data Analytics Engineer jobs near you

Data Analyst / Dashboard Developer (Secret Clearance)

System One

Hampton, VA • On-site

Contractor

Re-posted 24 days 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