Richmond, VA

Data Jobs in Richmond, VA

49 jobs found

Include remote jobs

1d ago

Data Analyst

Robotics Technologies Richmond, VA

Richmond, VA

1d ago

Contract Business Analytics Business Intelligence Data Analysis

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Job Description

Robotics Technologies is hiring a Data Analyst for a contract role based in Richmond, VA on site. This position focuses on collecting, analyzing, interpreting, and visualizing business data to support decision-making across the organization, with domain exposure in telecom.

As part of the engagement (Job ID J53552), you will work with stakeholders and collaborate with data engineering and business intelligence teams to deliver reliable reporting, insights, and automated analytics processes.

Key Responsibilities

Collect, clean, validate, and analyze data from multiple sources.
Develop dashboards, reports, and data visualizations.
Write complex SQL queries to extract and manipulate data.
Identify trends, patterns, and actionable business insights.
Partner with business stakeholders to understand data requirements.
Run data quality checks and resolve data discrepancies.
Prepare reports and present analytical findings to management.
Collaborate with data engineering and business intelligence teams.
Automate recurring reports and improve data analysis processes.

Required Qualifications

Strong SQL and database querying experience.
Advanced Microsoft Excel skills.
Experience with Power BI or Tableau.
Knowledge of Python for data analysis.
Strong understanding of data modeling and data validation.
Experience with ETL processes and data warehousing.
Knowledge of statistical analysis and data interpretation.
Strong communication and problem-solving skills.

Tools and Technologies

SQL, Excel, Python, Power BI, Tableau, ETL, data warehousing

Role Details

Location: Richmond, VA (onsite)
Duration: 12 Months + Extension
Domain exposure: Telecom
Employment type: W-2, 1099, C2C
Client: To Be Discussed Later

Work Authorization

US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD

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1d ago

Business Data Analyst Sr Wage

Virginia Department of Transportation Richmond, VA

Richmond, VA

1d ago

Full time Analytics Data Analysis Data Analytics

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Job Description

Support statewide transportation business planning and performance improvement through advanced data analysis, reporting, and data management.

Responsibilities

Conduct complex data analysis and research to support assigned program areas.
Study and evaluate statewide business context relative to planning, performance measures, customer feedback, and performance improvements, then communicate results.
Assist with programmatic analysis, reporting, and data management activities.
Provide data and analysis to support agency-wide initiatives through the Division’s assigned role.
Apply quality assurance and quality control strategies to ensure data and analysis are correct and aligned with request requirements.
Perform high-level analysis as needed to support cross-functional initiatives.
Coordinate across divisions and districts to promote consistency, performance, and reliability of analytical tools.
Collaborate with internal and external customers to identify and implement innovative solutions that improve Division products and services.
Complete other duties as assigned, including independent ad-hoc requests for data analysis and report generation.

Requirements

Demonstrated skill developing and managing large data sets and integrating data from different sources across different platforms.
Strong time management skills.
Knowledge of interrelationships among project data, including phases, schedules, and estimates.
Knowledge of theory and principles of database development, data management, business process improvement, and performance management.
Proficiency with Microsoft Office products.
Ability to apply logic and reasoning to identify and analyze problem areas and recommend solutions.
Skill in oral and written communication to build effective relationships.
Ability to work with business and/or financial information systems.
Experience defining a business need, identifying a solution, implementing the solution, and monitoring performance.
Experience handling ambiguity and gathering critical facts of a situation.
Experience working in teams to solve complex problems.

Technologies

Microsoft Office
Microsoft software
SharePoint
Teams
Excel
Power BI

Additional Considerations

Combination of training, experience, or education in Engineering, Computer Science, Applied Mathematics, Information Management Systems, Technology, Communications, or a related field is desired.

Ethics and Standards

VDOT employees must follow the VDOT Code of Ethics.
VDOT employees must follow the Commonwealth’s Standards of Conduct.

Location: Richmond, VA (onsite)

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1d ago

CMV Data Analyst

Department of State Police Richmond, VA

Richmond, VA

1d ago

$68k - $97k/yr Full time Data Analysis Data Analytics Data Visualization

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Job Description

The Virginia State Police is seeking a CMV Data Analyst to support the Special Compliance Enforcement Division in Richmond, Virginia. In this onsite role, you will help collect, analyze, and transmit commercial motor vehicle (CMV) crash and infrastructure data, then translate it into reports, visualizations, and analyses that support FMCSA work.

Working closely with internal staff and federal partners, you will contribute to understanding crash causal factors tied to large truck and bus safety through direct support of the FMCSA Crash Causal Factors Program (CCFP).

Role Focus

Collect, analyze, and transmit CMV crash and infrastructure data to the Federal Motor Carrier Safety Administration (FMCSA) to identify trends, risks, and improvement opportunities.
Apply analytical methods to produce clear reports and visualizations while maintaining data quality.
Evaluate key crash factors in collaboration with internal staff and federal partners.
Support the FMCSA Crash Causal Factors Program (CCFP) to improve understanding of causes of large truck and bus crashes.

Key Responsibilities

Support CMV operations by delivering crash and infrastructure data for trend and risk analysis.
Ensure datasets are accurate by validating and analyzing large, complex data for inconsistencies and other quality issues.
Create reports, dashboards, and visualizations that communicate findings effectively.
Prepare and deliver analytical findings to both technical and non-technical audiences.

Required Knowledge and Skills

Knowledge of trucking and transportation regulations, operations, and safety practices.
Knowledge of CMV compliance standards, including driver hours of service and vehicle inspection and crash reports.
Knowledge of statistical, analytical, and quantitative methods.
Knowledge of record and data security practices.
Proficiency with computers and applicable software.
Ability to analyze, interpret, and validate large complex datasets.
Ability to create data visualizations and dashboards using Tableau and Power BI.
Ability to use programming languages including SQL, Python, or R.
Critical thinking and problem-solving skills applied to CMV safety risk evaluation.
Ability to identify trends, inconsistencies, and process improvement opportunities.
Ability to collect, review, and analyze qualitative and quantitative data independently.
Ability to collaborate with federal researchers, data professionals, sworn staff, and other internal and external contacts.

Education

Graduation from high school or equivalent.

Preferred Experience

Experience or training in data analysis, statistics, transportation safety, research, program evaluation, or a related field.
Experience in vehicle safety and crash analysis.
Experience using analytical tools such as Tableau, Power BI, SQL, Python, or R in a transportation or public safety environment.

Technologies

Tableau
Power BI
SQL
Python
R

Compensation and Location

Location: Richmond, VA (onsite)
Salary: USD 67,578 - 97,313 per yearly

Application and Selection Process

After submitting your application and/or résumé, you will receive a confirmation of receipt.
Selection includes screening applications, interviewing qualified candidates, and may include pre-employment testing, a presentation and/or work sample (if applicable), salary negotiation (if applicable), a background investigation, and a medical evaluation (if applicable).
Applications, cover letters, and/or résumés must be submitted online through the PageUp recruitment management system at https://jobs.virginia.gov and received by 11:55 P.M. on November 6, 2026.
Limit résumés to four pages and cover letters to one page. Additional attachments beyond these limits will not be considered.
For questions, contact professionalemployment@vsp.virginia.gov.

Inclusion and Alternative Hiring Considerations

Individuals with disabilities are encouraged to apply through the alternative hiring process.
Applicants who received a Certificate of Disability from DARS or DBVI dated between April 1, 2022 and February 29, 2024 can use that COD as applicable documentation.

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7d ago

Manager, Technology & Cybersecurity Risk / Risk Data Analyst

Genworth Richmond, VA

Richmond, VA

7d ago

$109k - $169k/yr Full time Manager Analytics Artificial Intelligence

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Job Description

Genworth is hiring a Technology & Cybersecurity Risk leader in Richmond, VA (hybrid) to strengthen how the organization identifies, assesses, monitors, and reports enterprise risk. You will modernize risk management through Power BI dashboards, Power Automate workflows, and AI-enabled approaches, helping teams turn risk data into actionable insights. The role also includes executive-ready storytelling and risk challenge to improve controls across technology, cybersecurity, and third-party environments.

Hybrid schedule: In-office days are Tuesday, Wednesday, and Thursday, with working hours targeting 9am–5pm EST. This position is available to Virginia residents with Richmond, Virginia in-office applicants.

What you’ll do

Lead and execute enterprise-wide technology risk assessments across applications, infrastructure, cloud platforms, and data environments.
Identify, evaluate, and prioritize risks related to availability, security, resilience, and data integrity.
Maintain and manage the technology risk register, including risk identification, scoring, and remediation tracking.
Evaluate and challenge IT general controls (ITGCs) and application controls, ensuring design and effectiveness.
Align risk and control practices to industry standards such as NIST, ISO 27001, COBIT, SOC 2, and CIS Controls.
Partner with Technology and Security teams to drive control improvements and remediation of identified risks.
Support definition of risk appetite and tolerance, including development and monitoring of key risk indicators (KRIs).
Provide independent oversight and challenge to ensure risks are identified and managed within technology initiatives, projects, and change efforts.
Support regulatory, audit, and compliance activities by providing documentation, evidence, and subject matter expertise.
Monitor emerging technology and cybersecurity risks (for example, cloud, AI, cyber threats) and translate them into actionable mitigation strategies.
Conduct cybersecurity risk assessments for enterprise environments across on-prem, cloud, and hybrid.
Assess cybersecurity controls across IAM, data protection and encryption, network and endpoint security, and incident response capabilities.
Oversee vulnerability management activities, including penetration testing and remediation tracking.
Support cyber incident readiness activities such as tabletop exercises and post-incident reviews.
Develop cybersecurity KRIs and deliver executive reporting, including clear PowerPoint narratives.
Collect, validate, and analyze risk data from multiple sources, including GRC tools, security platforms, and vendor systems.
Build and maintain Power BI dashboards for risk registers, KRIs, vendor risk metrics, and trend analysis.
Design and implement Power Automate workflows to streamline risk processes such as assessments, approvals, and reporting.
Use AI and Generative AI tools to enhance reporting, summarization, and analysis, and support responsible AI use by identifying and mitigating risks such as data privacy, bias, and accuracy.

What you bring

5+ years of experience in one or more of: Technology / Cyber Risk, Risk Management / GRC, or Risk Data Analytics.
Experience conducting risk assessments and managing remediation activities.
Familiarity with risk and control frameworks such as NIST, ISO, and SOC.
Strong Power BI skills, including dashboarding and data modeling.
Advanced Microsoft Excel skills for analytics and data manipulation.
Advanced PowerPoint skills for executive presentations.
Experience building dashboards, reports, and risk analytics, and translating data into actionable insights.
Experience using Power Automate or similar workflow automation tools.
Familiarity with AI / Generative AI tools to improve productivity and analysis.
Experience leveraging APIs to access, share, and aggregate data.
Strong written and verbal communication skills, including executive-level storytelling.
Ability to translate technical concepts into business-friendly language.
Bachelor’s degree in a related field such as Information Technology, Cybersecurity, Computer Science, Business, Risk Management, Finance, or a related field.

Tools and frameworks you’ll work with

Power BI, Power Automate, PowerPoint
AI-enabled solutions, AI and Generative AI tools
NIST, ISO 27001, COBIT, SOC 2, CIS Controls
NIST CSF, NIST 800-53, ISO 27002
GRC tools (including ServiceNow GRC, Archer, OneTrust)
AWS, Azure, GCP
SQL, Python, PowerShell

Compensation and incentives

Salary range: $109,000 – $169,000 per year (national range)
Eligible for a bonus incentive plan in addition to base salary; incentive compensation is based on individual and company performance and is not guaranteed.

Benefits at Genworth

Comprehensive Healthcare Coverage
Multiple 401(k) Savings Plan Options
Auto Enrollment in employer-directed retirement account feature (100% employer-funded)
Generous Paid Time Off including 12 Paid Holidays, Volunteer Time Off, and Paid Family Leave
Disability, Life, and Long Term Care Insurance
Tuition Reimbursement, Student Loan Repayment, and Training & Certification Support
Wellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & legal management)
Caregiver and Mental Health Support Services
Competitive Compensation & Total Rewards Incentives

Nice to have

Professional certifications such as CISA, CRISC, CISM, CISSP, CTPRP, or PMP
Master’s degree (MBA, MS Cybersecurity, or related field)
Experience with GRC platforms (e.g., Archer, ServiceNow GRC, OneTrust)
Knowledge of cloud platforms (AWS, Azure, GCP)
Experience with scripting or data tools (SQL, Python, PowerShell)
Experience presenting to senior leadership or risk committees

Additional details

This role is not eligible for employment visa sponsorship.

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14d ago

Supply Data Analyst

Naval Systems, Inc. Richmond, VA

Richmond, VA

14d ago

$80k - $89k/yr Full time Analytics Business Analytics Business Intelligence

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Job Description

Naval Systems, Inc. is seeking a Supply Data Analyst to support the PMA 265 Program Office in strengthening supply visibility for Naval aviation weapon systems. In this onsite role in Richmond, VA, you will collect, integrate, and analyze DLA transactional supply data to support NIIN-level supply posture reporting and fulfillment reconciliation for WSPMs.

What you’ll do

Collect, integrate, and analyze DLA transactional supply data from the Enterprise Business System (EBS) and connected data warehouses, marts, tables, and reporting tools.
Generate NIIN-level supply posture and fulfillment reconciliations that help WSPMs and Navy stakeholders resolve requisition backlogs, mitigate supply risks, and improve readiness.
Extract and stage transactional records from EBS and related portals and data services (including Enterprise External Business Portal and Enterprise Advanced Analytics (EA2)), covering items such as requisitions, orders, receipts, issues, stock balances, and procurement actions.
Use authoritative item master and catalog data from WebFLIS/FLIS resources (including NSN/NIIN, CAGE, and INC) to maintain item-level data integrity.
Build repeatable data pipelines that join master data, transaction data, and distribution or posture tables to produce trusted, refreshable NIIN dashboards for WSPM use, supported by EA2 supply performance data services.
Publish recurring NIIN-by-NIIN supply posture summaries showing on-hand/on-order quantities, due-ins/due-outs, demand history/forecast, backorders/aging, procurement lead times, and customer wait time (CWT).
Reconcile end-to-end fulfillment of DLA-managed requisitions by tracing each NIIN lifecycle through order creation, sourcing, shipment, receipt, and issue, and documenting variances such as long aging, partial fills, cancels, and SOS changes.
Maintain authoritative mapping between NSN (13-digit) and NIIN (last nine digits, two-digit NCB code plus seven-digit item number) to support accurate item tracking and roll-ups across changing FSCs.

Required qualifications

BS or BA Degree in Acquisition, Logistics Management, Management, or Business.
3–5+ years experience in defense supply chain analytics, ERP data analysis, inventory management, or logistics operations, with prior DLA Aviation or Naval aviation support preferred.
Experience with demand/supply chain applications including EBS, EA2, and FLIS / WebFLIS.
Analytical techniques for investigating, analyzing, and evaluating activities within the demand/supply chain area.
Ability to analyze demand/supply chain KPIs such as Fill Rate, Material Delay, UFO/Backorder Reduction, Delay Fill Time, and Delivery Response Time.
Working knowledge of MS Office including MS Word, Excel, PowerPoint, Teams, SharePoint, and Outlook.
Secret Clearance is required.
Must be a U.S. citizen.

Compensation and location

Location: Richmond, VA (onsite)
Salary: USD 80,000 to 89,000 per year

Benefits

Medical, dental, vision
Long Term Disability
Life Insurance
Short Term Disability
Paid time off
Paid holidays
Flexible spending account
Employee assistance program
Tuition assistance program
401k Plan with company match
Fun and enthusiastic work environment

Tools and technologies

Enterprise Business System (EBS)
Enterprise Advanced Analytics (EA2)
FLIS / WebFLIS
MS Office (MS Word, Excel, PowerPoint, MS Teams, SharePoint, Outlook)

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17d ago

Data Engineer 4 - ERM Transformation

Capital One Richmond, VA

Richmond, VA

17d ago

$179k - $205k/yr Full time Backend Developer Big Data Bigdata

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Job Description

Capital One is building proprietary risk management solutions that use state-of-the-art AI technology, and this Data Engineer role sits at the center of turning those capabilities into reliable, cloud-first data platforms. Working onsite in Richmond, VA, you will design, build, and operate data pipelines and systems focused on scalability, security, and operational efficiency.

What you’ll do

Collaborate with Agile teams to design, develop, test, implement, and support technical solutions using full-stack development tools and technologies
Guide delivery within a team of developers, data analysts, and data scientists with expertise across machine learning, distributed microservices, lakehouse architecture, and full-stack systems
Build with Python and Spark using open-source relational and NoSQL databases, and cloud data warehousing platforms such as Databricks and Snowflake
Coordinate with product managers and software engineers to deliver robust cloud-first data solutions that support impactful experiences for millions of Americans
Independently design, build, and deliver cloud data solutions and applications with limited supervision
Architect and enforce common data engineering design patterns to improve code quality, maintainability, and reusability across platforms and pipelines
Design and build data pipelines and platforms with an emphasis on scalability, resilience, and operational efficiency under growing data and business demand
Act as an ambassador for data engineering by communicating technical concepts and data outcomes clearly to internal and external stakeholders
Implement data security standards, including encryption at rest/transit and fine-grained access control, to support compliance with data privacy regulations

Core qualifications

Bachelor’s Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
4+ years of experience in application development (internship experience does not apply)
2+ years of experience in distributed data
2+ years of experience with SQL
2+ years of experience with one programming language: Python, Java, or Scala
2+ years of experience in data pipeline design and development
1+ year of experience in data modeling and designing end-to-end data solutions using both relational and non-relational database systems

Technologies

Python, Spark, Databricks, Snowflake, SQL, Java, Scala
NoSQL and relational databases
Machine learning, distributed microservices, lakehouse architecture
Agile
Encryption at rest/transit and fine-grained access control

Compensation

Richmond, VA: USD 179,400 - 204,700 per year
This role may also be eligible for performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI). Incentives could be discretionary or non-discretionary depending on the plan.

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19d ago

Material Master Data Analyst

Smurfit Westrock Richmond, VA

Richmond, VA

19d ago

Full time Data Analysis Data Management Sap Data

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Job Description

Support Sales & Operations by keeping planning and ordering data accurate, validated, and operational across SAP and o9.

Responsibilities

Maintain data integrity within planning systems and coordinate requests and issues with cross-functional teams
Ensure systems run smoothly using verified and audited data
Handle ad hoc requests and review parameter details with planning teams (Customer Service, Logistics, Production Planning, ITP, & IBP)
Manage 3PL and/or Customer setup activities related to master data
Own material master data management and ongoing maintenance
Perform troubleshooting and error review across master data and planning processes
Investigate and resolve EDI & ASN issues
Support o9 data audit activities and maintain o9 functionality
Carry out SAP table maintenance, including updates tied to EDI ordering and customer-related parameters
Manage inbound EDI orders: diagnose issues, review findings with the corresponding team, and rectify data/process gaps
Maintain EDI order and customer tables by verifying and auditing table parameters to support an efficient ordering process with no impact to customer
Manage inbound ASN failures and associated notifications
Maintain SKU lists and details in the o9 planning system
Run monthly audits of new SKUs/fields to ensure Supply Plans and ad hoc scenarios include validated planning parameters
Maintain material extensions, including costing and PIRs (Purchase Information Record)
Set up 3PL material and customer records (internal & external)
Provide ongoing business support to the IT vendor by facilitating incident resolution and maintaining clear communication with business partners
Partner with Product Management on new material requests and product maintenance to support product lifecycle management
Complete appropriate Master Data tasks (including but not limited to)

Requirements

Ability to prioritize tasks, execute solutions, follow up with cross-functional teams, and track progress
Strong attention to detail
Experience with SAP (preferred)
Familiarity with overall supply chain planning and material flow