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Public Sector Data Analyst Jobs (NOW HIRING)

Hp

Sr. Public Sector Program Manager

Washington, DC

$131K - $131K/yr

Sr. Public Sector Program Manager Description - Job Summary Do you want to be an instrumental ... of data, conduction of in-depth analysis, and rigorous testing of hypotheses, ensuring well ...

Seattle Housing Authority

Data Analyst I/II

Seattle, WA · On-site +1

$42.11 - $63.16/hr

Serve as the key resource for cross-departmental and cross-sector data management, extraction ... Competitive Salary Comprehensive Benefits Medical, dental, and vision insurance Public Employees ...

Skillsoft

OR · On-site

PUBLIC SECTOR SOLUTIONS PARTNER Skillsoft is seeking an experienced Solutions Partner, also known ... analytics platforms. * Identify data considerations (sources, quality, flows, governance) that ...

Skillsoft

Public Sector Solutions Partner

PUBLIC SECTOR SOLUTIONS PARTNER Skillsoft is seeking an experienced Solutions Partner, also known ... analytics platforms. * Identify data considerations (sources, quality, flows, governance) that ...

Public Health Solutions

Data Analyst

Manhattan, NY · On-site

$89K/yr

The Data Analyst will analyze these types of data for the purpose of publishing the Annual Summary ... Experience working with the public health sector and coordinating projects involving multiple ...

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Public Sector Data Analyst information

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$34K

$82.6K

$136K

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

As of Jun 10, 2026, the average yearly pay for public sector data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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 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 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 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.
More about Public Sector Data Analyst jobs
What cities are hiring for Public Sector Data Analyst jobs? Cities with the most Public Sector Data Analyst job openings:
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What job categories do people searching Public Sector Data Analyst jobs look for? The top searched job categories for Public Sector Data Analyst jobs are:
Public Sector Data Analyst jobs near you
Infographic showing various Public Sector Data Analyst job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 95% Full Time, 1% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Solutions Architect - Public Sector (SLED)

Solutions Architect - Public Sector (SLED)

Databricks

Denver, CO • On-site

$64.75 - $85.50/hr

Full-time

Posted 26 days ago

Job description

Job Summary:
Databricks is the data and AI company that helps organizations unify and democratize data, analytics, and AI. As a Solutions Architect in the Public Sector, you will lead customer engagements, develop solutions using the Databricks platform, and provide technical leadership to clients, particularly in the public sector.
Responsibilities:
• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications
• Build and present references architectures, how-tos, and demo applications for customers
• Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars
• Travel to customers in your region
Qualifications:
Required:
• 6+ years in a customer-facing pre-sales, technical architecture, or consulting role
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R
• Experience supporting Public Sector clients
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
• US Citizen
Preferred:
• Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
Company:
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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