ZipRecruiter

Log In

1

Contract Python Data Analysis Jobs in Hampton, VA

Guidehouse

Data Scientist

Norfolk, VA · On-site

Experience in Python, R, and SQL for data analysis, modeling, and data manipulation * Experience applying machine learning techniques and statistical methods to real-world datasets * Experience ...

Navigant Consulting

Data Scientist

Norfolk, VA · On-site

Experience in Python, R, and SQL for data analysis, modeling, and data manipulation * Experience applying machine learning techniques and statistical methods to real-world datasets * Experience ...

New

Guidehouse

Data Scientist

Norfolk, VA · On-site

Experience in Python, R, and SQL for data analysis, modeling, and data manipulation * Experience applying machine learning techniques and statistical methods to real-world datasets * Experience ...

SimIS Inc.

Data Engineer (T&E)

Norfolk, VA · On-site

$98K - $118K/yr

... analysis in a programming or statistical software suite such as: R, Python, SAS, SPSS, STATA, Tableau, and/or PowerBI for small to large data sets • Proficient in the design, implementation, and ...

SimIS Inc.

Data Engineer (T&E)

Norfolk, VA · On-site

$110K - $133K/yr

Demonstrated proficiency in data analysis in a programming or statistical software suite such as: R, Python, SAS, SPSS, STATA, Tableau, and/or PowerBI for small to large data sets. * Proficient in ...

SimIS Inc.

Data Engineer (T&E)

Norfolk, VA · On-site

$110K - $133K/yr

Demonstrated proficiency in data analysis in a programming or statistical software suite such as: R, Python, SAS, SPSS, STATA, Tableau, and/or PowerBI for small to large data sets. * Proficient in ...

Guidehouse

Data Scientist

Norfolk, VA · On-site

Experience in Python, R, and SQL for data analysis, modeling, and data manipulation * Experience applying machine learning techniques and statistical methods to real-world datasets * Experience ...

Booz Allen Hamilton

Data Scientist

Langley, VA

$99K - $225K/yr

You Have: * 4+ years of experience with data exploration, data cleaning, data analysis, data ... Experience in the development of algorithms leveraging R, Python, or SQL and NoSQL * Experience ...

Booz Allen Hamilton

Data Scientist

Hampton, VA · On-site

$99K - $225K/yr

You Have: * 4+ years of experience with data exploration, data cleaning, data analysis, data ... Experience in the development of algorithms leveraging R, Python, or SQL and NoSQL * Experience ...

Varsity Tutors

Python Tutor

Norfolk, VA · Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Python Tutor

Virginia Beach, VA · Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

CACI International, Inc.

Data Scientist

Norfolk, VA · On-site

... contract on site at our Hampton Roads location. In this role, you will bridge the gap between ... You will formulate and lead guided, multifaceted analytic studies against massive volumes of ...

SimIS Inc.

Senior Data Scientist (N)

Norfolk, VA · On-site

NATO HQ Supreme Allied Command Transformation (NATO SACT) is seeking contract support to access to ... analysis applications. * Expertise in Programming Languages: Python, R, SQL, Spark, TensorFlow ...

previous pagenext page

Showing results 21-40

All JobsContract Python Data Analysis JobsContract Python Data Analysis Jobs in Hampton, VA

Contract Python Data Analysis information

See Hampton, VA salary details

$12

$56

$83

How much do contract python data analysis jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for contract python data analysis in Hampton, VA is $56.65, according to ZipRecruiter salary data. Most workers in this role earn between $46.68 and $64.38 per hour, depending on experience, location, and employer.

What are some common challenges faced by contract Python data analysts, and how can they be addressed?

Contract Python Data Analysts often face challenges such as quickly adapting to new data environments, understanding project-specific requirements, and integrating with existing teams on a temporary basis. To address these, it's important to have strong communication skills, be proactive in clarifying expectations early on, and familiarize yourself with the company's data infrastructure and tools as soon as possible. Additionally, maintaining organized and well-documented code helps ensure smooth handovers and collaboration with other team members.

What are the key skills and qualifications needed to thrive as a contract Python data analyst?

To thrive as a Contract Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a relevant degree or proven experience. Familiarity with tools such as pandas, NumPy, SQL databases, and data visualization libraries is typically required. Excellent problem-solving, communication, and time management skills help you deliver actionable insights and collaborate effectively with stakeholders. These abilities are essential for extracting, interpreting, and presenting data-driven solutions that support business objectives in a contract-based environment.

What is a contract Python data analysis job?

Contract Python Data Analysis jobs involve working on a temporary or project-based basis to analyze and interpret data using Python programming. Professionals in these roles use Python libraries such as pandas, NumPy, and matplotlib to clean, process, and visualize data for clients or organizations. They may be hired for short-term projects to deliver insights, build reports, or automate data workflows, often collaborating remotely or on-site. Contract positions offer flexibility and the opportunity to work with various industries and datasets.

What is the difference between Contract Python Data Analysis vs Contract Data Scientist?

AspectContract Python Data AnalysisContract Data Scientist
Required SkillsPython, SQL, data visualization, basic statistical analysisPython, R, machine learning, statistical modeling, data visualization
Work EnvironmentProject-based, client sites or remote, short-term contractsConsulting firms, tech companies, research projects, often longer-term
Industry UsageFinance, marketing, healthcare, retailTech, finance, healthcare, academia

Contract Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for short-term projects. Contract Data Scientists typically handle advanced modeling, machine learning, and statistical analysis, often requiring broader skill sets. Both roles are in high demand but differ in complexity and scope.

What are the most commonly searched types of Python Data Analysis jobs in Hampton, VA?

The most popular types of Python Data Analysis jobs in Hampton, VA are:

What are popular job titles related to Contract Python Data Analysis jobs in Hampton, VA?

For Contract Python Data Analysis jobs in Hampton, VA, the most frequently searched job titles are:

What job categories do people searching Contract Python Data Analysis jobs in Hampton, VA look for?

The top searched job categories for Contract Python Data Analysis jobs in Hampton, VA are:

What cities near Hampton, VA are hiring for Contract Python Data Analysis jobs?

Cities near Hampton, VA with the most Contract Python Data Analysis job openings:

Contract Python Data Analysis jobs near you

Data Analyst / Dashboard Developer (Secret Clearance)

System One

Hampton, VA • On-site

Contractor

Re-posted 22 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