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Public Sector Data Analyst Jobs in Virginia (NOW HIRING)

Junior Data Analyst

Mclean, VA · On-site

$56K - $94K/yr

Exposure to public-sector data collection, analysis, or reporting tools. The annual salary range for this position is $56,000.00-$94,000.00. Compensation decisions depend on a wide range of factors ...

Junior Data Analyst

Arlington, VA · On-site

$56K - $94K/yr

Exposure to public-sector data collection, analysis, or reporting tools. The annual salary range for this position is $56,000.00-$94,000.00. Compensation decisions depend on a wide range of factors ...

Junior Data Analyst

Mclean, VA · On-site

$56K - $94K/yr

Exposure to public-sector data collection, analysis, or reporting tools. The annual salary range for this position is $56,000.00-$94,000.00. Compensation decisions depend on a wide range of factors ...

Junior Data Analyst

Arlington, VA · On-site

$56K - $94K/yr

Exposure to public-sector data collection, analysis, or reporting tools. The annual salary range for this position is $56,000.00-$94,000.00. Compensation decisions depend on a wide range of factors ...

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Showing results 1-20

Public Sector Data Analyst information

See Virginia salary details

$33.7K

$81.9K

$134.8K

How much do public sector data analyst jobs pay per year?

As of Aug 30, 2026, the average yearly pay for public sector data analyst in Virginia is $81,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 per year, depending on experience, location, and employer.

What does a public sector data analyst do?

A Public Sector Data Analyst collects, processes, and interprets data to help government agencies or public organizations make informed decisions. Their work often supports policy development, program evaluation, and resource allocation. They use statistical tools and data visualization techniques to identify trends, assess public programs' performance, and communicate findings to stakeholders. Public Sector Data Analysts play a crucial role in improving public services and ensuring transparency and accountability.

What are the key skills and qualifications needed to thrive as a public sector data analyst, and why are they important?

To thrive as a Public Sector Data Analyst, you need strong analytical skills, experience with statistical methods, and a background in data science or a related field, often supported by a relevant degree. Familiarity with tools like SQL, Python, R, and data visualization platforms such as Tableau or Power BI, as well as knowledge of government data standards, is typically required. Effective communication, critical thinking, and collaboration skills are vital to translate complex data into actionable insights for public stakeholders. These competencies ensure accurate, impactful analysis that informs policy decisions and drives public sector improvements.

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

Public Sector Data Analysts often encounter challenges related to data quality, siloed information systems, and navigating strict data privacy regulations. These hurdles can make it difficult to aggregate and analyze data efficiently. Building strong collaboration with IT and policy teams, advocating for standardized data collection practices, and staying up-to-date on relevant regulations are effective strategies for overcoming these obstacles. Additionally, being proactive in communicating data-driven insights can help ensure that analysis informs impactful policy decisions.

What is the difference between Public Sector Data Analyst vs Private Sector Data Analyst?

AspectPublic Sector Data AnalystPrivate Sector Data Analyst
Required CredentialsBachelor's degree in data analysis, statistics, or related field; often some government-specific certificationsBachelor's degree in data analysis, statistics, or related field; certifications like CAP or Microsoft Certified often preferred
Work EnvironmentGovernment agencies, public institutions, non-profit organizationsCorporations, private companies, consulting firms
Employer & Industry UsagePublic policy, government operations, public servicesBusiness analytics, marketing, finance, technology

The Public Sector Data Analyst primarily works within government agencies and public institutions, focusing on public policy and service improvement. In contrast, the Private Sector Data Analyst operates in corporate environments, emphasizing profit-driven insights. Both roles require similar educational backgrounds and analytical skills but differ in their work settings and objectives.

What job categories do people searching Public Sector Data Analyst jobs in Virginia look for?

The top searched job categories for Public Sector Data Analyst jobs in Virginia are:

What cities in Virginia are hiring for Public Sector Data Analyst jobs?

Cities in Virginia with the most Public Sector Data Analyst job openings:

Infographic showing various Public Sector Data Analyst job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $81,931 per year, or $39.4 per hour.

Customer Engineer, Data/Analytics, Google Public Sector

Reston, VA • On-site


Google Inc.
Software Development • 10K+ employees

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 246 rated software companies

Free food

Great coworkers

People enjoy working here


$152 - $221/hr

Other

Re-posted 19 days ago


Job description

Customer Engineer, Data/Analytics, Google Public Sector

Share Customer Engineer, Data/Analytics, Google Public Sector

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corporate_fare Google place Reston, VA, USA ; Washington D.C., DC, USA

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

X Must be a US Citizen to meet customer and compliance requirements, including potential access to classified informationNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Reston, VA, USA; Washington D.C., DC, USA.

  • Bachelor's degree or equivalent practical experience.
  • 10 years of experience with cloud native architecture in a customer-facing or support role.
  • Experience engaging with, and presenting to, technical stakeholders and executive leaders.
  • Experience with Big Data technologies or concepts (e.g., analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, Spark, performance or scalability optimizations, batch versus streaming).
  • Experience using programming languages to design demos, prototypes, or workshops for customers.
  • Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing, data migrations, data visualization tools, and data governance on cloud native architectures.
Preferred qualifications:
  • Experience working with customers in the Public Sector industry.
  • Experience in technical sales or consulting in cloud computing, data analytics, or Big Data.
  • Experience with architecture design, implementing, tuning, schema design and query optimization of scalable and distributed systems.
  • Experience with aspects of cloud computing (infrastructure, storage, platforms and data), as well as the cloud market, competitive dynamics and customer buying behavior.
  • Experience in understanding customer requirements with the ability to break down requirements and design technical architectures.
About the job

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

As a Practice Customer Engineer (CE) with a specialty in Data Analytics, you will partner with technical sales teams to differentiate Google Cloud to our customers. You will serve as a technical expert responsible for accelerating technical wins and adoption of complex, specialized workloads. You will leverage your deep expertise in our most strategic product areas, in partnership with Platform CEs, to design data foundation architectures and develop minimum viable products (MVPs) to sell new, highly specialized solutions to customers. You will solve analytics-centered customer challenges and provide a critical feedback loop to unblock customers and influence product development.

Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $152000 - $221000 (USD) + 42.86% bonus target + equity + benefits Learn more about benefits at Google .

  • Drive the technical win for complex workloads within data analytics to ensure rapid and successful adoption, primarily supporting the business cycle from use case identification, technical evaluation, and through customer ramp.
  • Combine business strategies and direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.
  • Provide deep technical consultation to customers, acting as a technical advisor and building lasting customer relationships.
  • Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-To-Market team.
  • Provide critical feedback from customer engagements to product and engineering teams to improve architectures and solutions. Work within product and engineering management systems to document, prioritize and drive resolution of customer feature requests and issues.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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