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Data Analyst In Social Services Jobs in California

Meta

Data Analyst, Global Operations

Menlo Park, CA

$125K/yr

... self-service tools for teams across Meta * Champion the adoption and integration of AI tooling ... in social technology. People who choose to build their careers by building with us at Meta help ...

Meta

Data Analyst, Global Operations

San Francisco, CA

$125K/yr

... self-service tools for teams across Meta * Champion the adoption and integration of AI tooling ... in social technology. People who choose to build their careers by building with us at Meta help ...

LHH US

Data Analyst

San Diego, CA

$72K/yr

Fulltime, direct hire Salary: $72,000/year We are seeking a Data Analyst to join a nonprofit ... Experience in a nonprofit or social services work environment. * Experience with digital platforms ...

LHH US

Data Analyst

San Diego, CA

$72K/yr

Fulltime, direct hire Salary: $72,000/year We are seeking a Data Analyst to join a nonprofit ... Experience in a nonprofit or social services work environment. * Experience with digital platforms ...

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Data Analyst In Social Services information

What does a data analyst in social services do?

A Data Analyst in Social Services collects, processes, and interprets data related to social programs, beneficiaries, and community needs. They help organizations make informed decisions by identifying trends, evaluating program effectiveness, and generating reports. Their work supports the development of strategies to improve service delivery, allocate resources efficiently, and demonstrate the impact of social service initiatives. Data Analysts in this field often work with sensitive information and collaborate closely with social workers, program managers, and policymakers.

How does a data analyst in social services typically collaborate with case managers and program staff?

As a Data Analyst in Social Services, you'll regularly work closely with case managers and program staff to interpret data trends, measure program effectiveness, and identify areas for improvement. You may help design data collection tools, provide training on data entry protocols, and meet with teams to discuss findings that influence service delivery strategies. This collaboration ensures that the data you analyze directly supports real-world decisions, ultimately enhancing outcomes for clients served by the organization.

What are the key skills and qualifications needed to thrive as a data analyst in social services, and why are they important?

To thrive as a Data Analyst in Social Services, you need strong analytical skills, experience with data management, and a relevant degree in statistics, social sciences, or a related field. Familiarity with data analysis tools such as Excel, SQL, and statistical software like SPSS or R is typically required. Excellent communication, problem-solving abilities, and an understanding of social service contexts are standout soft skills. These competencies are crucial for accurately interpreting data, informing policy decisions, and driving positive outcomes for communities served.

What is the difference between Data Analyst In Social Services vs Data Analyst In Healthcare?

AspectData Analyst In Social ServicesData Analyst In Healthcare
Required CredentialsBachelor's in social sciences, data analysis certificationsBachelor's in health sciences, data analysis certifications
Work EnvironmentNon-profit agencies, government social programsHospitals, clinics, healthcare organizations
Employer & Industry UsageSocial service agencies, government departmentsHealthcare providers, insurance companies
Common Search & ComparisonYesYes

While both roles involve data analysis skills, Data Analyst In Social Services focuses on social programs and community services, whereas Data Analyst In Healthcare specializes in health data within medical settings. The credentials and work environments overlap but differ in industry focus, making each role tailored to its specific sector.

What are popular job titles related to Data Analyst In Social Services jobs in California?

For Data Analyst In Social Services jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Analyst In Social Services jobs in California look for?

The top searched job categories for Data Analyst In Social Services jobs in California are:

What cities in California are hiring for Data Analyst In Social Services jobs?

Cities in California with the most Data Analyst In Social Services job openings:

Data Analyst In Social Services jobs near you
Infographic showing various Data Analyst In Social Services job openings in California as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, 1% Temporary, and 4% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Data Analyst, Global Operations

Meta

Menlo Park, CA

$125K/yr

Full-time

Posted 10 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 244 rated software companies

Job description

At Meta, we are experiencing an extraordinary wave of innovation in automation and intelligent tools that is transforming how we drive impact through data & analytics. As a data analyst in global operations, you’ll have the opportunity to combine your analytical expertise with an AI-first mindset to design and deploy analytical solutions that drive strategic decision-making and operational efficiency at a global scale. You will partner with operational, data science, data engineering, and product teams globally to optimize processes, automate workflows, provide data-driven insights, and uplift the team’s proficiency in leveraging new technologies.
Data Analyst, Global Operations Responsibilities:
  • Partner with operations, data science, engineering, and product teams to address complex business challenges through AI-first analytical strategies and solutions
  • Build, maintain, and optimize scalable data pipelines, dashboards, automated reports, and self-service tools for teams across Meta
  • Champion the adoption and integration of AI tooling within analytics workflows, educating and uplifting team proficiency in modern solutions and innovative thinking
  • Communicate complex insights clearly to technical and non-technical stakeholders, influencing decisions and business outcomes
  • Continuously explore and experiment with emerging technologies and automation methods to advance the team’s analytics offerings

Minimum Qualifications:
  • 7+ years of experience in analytics, operations, product, engineering, or related fields—ideally within deadline-focused tech environments or consulting
  • Bachelor’s degree in a quantitative discipline such as Computer Science, Data Science, Statistics, Mathematics, Operations Research, or equivalent practical experience
  • Advanced proficiency in SQL, and experience with Python, for data analysis and automation
  • Proven experience building and deploying scalable data pipelines and productionizing dashboards using BI tools (e.g., Tableau)
  • Track record of proactively using AI tools to drive productivity and innovation across projects and teams (bonus for championing AI adoption and education within teams)
  • Solid understanding of statistical analysis with practical application to real-world business problems
  • Demonstrated ability to independently manage analytics projects end-to-end, from problem definition to business adoption and impact measurement

Preferred Qualifications:
  • Master’s degree or higher in a quantitative discipline such as Data Science, Statistics, Mathematics, Computer Science, or a related field
  • Hands-on experience with AI/ML model development, deployment, and/or integration

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$125,000/year to $178,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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