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Meta Data Analyst Jobs in California (NOW HIRING)

Meta

Data Analyst, Global Operations

Menlo Park, CA

$125K/yr

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 ...

Meta

Energy Manager, Power Delivery

Menlo Park, CA · On-site +1

$202K/yr

In this role, you will be a key contributor to Meta's data center energy strategy, specifically ... Negotiate deal terms, focusing on capacity planning and optionality by analyzing and presenting ...

Thunkable

Sr. Data Analyst

San Francisco, CA · On-site

$90K - $130K/yr

Google Ads, Meta ads, Payment systems, Amplitude, etc.) - Document data architecture, key components, and data flows to ensure clarity. - Collaborate across teams to query and analyze data from ...

Thunkable

Sr. Data Analyst

San Francisco, CA · Remote

$90K - $130K/yr

Google Ads, Meta ads, Payment systems, Amplitude, etc.) - Document data architecture, key components, and data flows to ensure clarity. - Collaborate across teams to query and analyze data from ...

Thunkable

Sr. Data Analyst

San Francisco, CA · On-site +1

$90K - $130K/yr

Google Ads, Meta ads, Payment systems, Amplitude, etc.) - Document data architecture, key components, and data flows to ensure clarity. - Collaborate across teams to query and analyze data from ...

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Meta Data Analyst information

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$33.6K

$81.6K

$134.2K

How much do meta data analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for meta data analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a meta data analyst?

As a Meta Data Analyst, your daily tasks often include collecting, organizing, and maintaining metadata that describes an organization's data assets. You will collaborate closely with data engineers, business analysts, and IT teams to ensure data assets are accurately documented and easily accessible. Reviewing and updating data dictionaries, applying data governance frameworks, and supporting compliance efforts are also common aspects of the role. Staying up-to-date with best practices and troubleshooting data lineage or quality issues are part of your routine, making attention to detail and proactive communication critical for success.

Is it still worth it to become a meta data analyst in 2026?

Meta Data Analysts are in demand for managing and interpreting large datasets, especially as organizations increasingly rely on data-driven decision-making. Skills in database management, data visualization tools, and programming languages like SQL or Python enhance job prospects, which are expected to remain stable through 2026 due to ongoing growth in data analytics needs.

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

To thrive as a Meta Data Analyst, you need a strong background in data management, information systems, and data governance, often supported by a degree in computer science or information technology. Familiarity with metadata management tools (such as Collibra or Informatica), database systems, and knowledge of relevant data privacy and compliance standards is crucial. Attention to detail, analytical thinking, and strong communication skills help analysts effectively document metadata and collaborate with cross-functional teams. These skills are essential to ensure accurate data cataloging, facilitate data quality, and support efficient data-driven decision-making across an organization.

What is a meta data analyst?

A Meta Data Analyst is responsible for managing and analyzing metadata, which is data about data, to improve data governance, discoverability, and quality. They work with databases, data catalogs, and systems to ensure accurate metadata tagging and organization. Their role supports data management strategies by enhancing data lineage, classification, and compliance with industry standards. Meta Data Analysts collaborate with data engineers, scientists, and business teams to optimize data usability and accessibility.

What are the most commonly searched types of Meta Data Analyst jobs in California? The most popular types of Meta Data Analyst jobs in California are:
What are popular job titles related to Meta Data Analyst jobs in California? For Meta Data Analyst jobs in California, the most frequently searched job titles are:
What job categories do people searching Meta Data Analyst jobs in California look for? The top searched job categories for Meta Data Analyst jobs in California are:
What cities in California are hiring for Meta Data Analyst jobs? Cities in California with the most Meta Data Analyst job openings:
Meta Data Analyst jobs near you
Infographic showing various Meta Data Analyst job openings in California as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Data Analyst, Global Operations

Meta

San Francisco, CA

$125K/yr

Full-time

Posted 5 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 242 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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