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Facebook Data Analyst Jobs in California (NOW HIRING)

Meta

Data Engineer, Product Analytics

San Francisco, CA · On-site

$147K/yr

... Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and ... Data Engineer, Product Analytics Responsibilities: * Conceptualize and own the data architecture ...

Meta

Data Engineer, Product Analytics

Burlingame, CA

$114K/yr

... Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and ... This could include roles such as data analyst, data scientist, data engineer, or similar positions

Meta

Data Engineer, Product Analytics

Burlingame, CA · On-site +1

$147K/yr

... Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and ... This could include roles such as data analyst, data scientist, data engineer, or similar positions ...

Meta

Data Engineer, Product Analytics

Sunnyvale, CA · On-site

$147K - $208K/yr

... Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and ... This could include roles such as data analyst, data scientist, data engineer, or similar positions ...

Brilent

Data Scientist Intern

San Mateo, CA · On-site

... Facebook, LinkedIn, and Microsoft. As a data scientist intern, you will work alongside our small ... Perform large-scale data analysis, find interesting patterns and translate them into product ...

Omnicom

Data Science and Analytics_05

Los Angeles, CA · On-site

... Analyst levels. Broad experience with behavioral data and syndicated research data sources ... Moat, Facebook Advanced Analytics, Google ADH, Google Analytics, Adobe, etc.) Behavioral data ...

Meta

Data Scientist, Product Analytics

Menlo Park, CA

$147K/yr

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing ... Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical ...

Meta

Data Scientist, Product Analytics

Burlingame, CA

$147K/yr

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing ... Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical ...

Meta

Data Scientist, Product Analytics

Menlo Park, CA

$119K/yr

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing ... Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical ...

Meta

Data Scientist, Product Analytics

Menlo Park, CA · On-site

$119K - $173K/yr

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing ... Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical ...

Meta

Data Scientist, Product Analytics

Menlo Park, CA

$177K/yr

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing ... Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical ...

Meta

Data Scientist, Product Analytics

Burlingame, CA

$177K/yr

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing ... Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical ...

The Rockridge Group

Data Engineer

Emeryville, CA · Remote

$132K - $159K/yr

Google Applications/Analytics experience required * Google Search console experience required * Google Tag Manager, merchant account or data studio experience preferred * Facebook knowledge will be ...

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All JobsFacebook Data Analyst JobsFacebook Data Analyst Jobs in California

Facebook Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do facebook data analyst jobs pay per year?

As of Aug 11, 2026, the average yearly pay for facebook 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 does a Facebook data analyst do?

A typical day for a Facebook Data Analyst involves extracting and analyzing large datasets, developing reports and dashboards, and working closely with product managers, engineers, and marketers to provide actionable insights. You may spend time designing and conducting A/B tests, identifying key performance metrics, and troubleshooting data quality issues. Collaboration is central to the role, as you’ll often participate in team meetings and strategy sessions to align data insights with business objectives. The environment is fast-paced and dynamic, making flexibility and adaptability valuable assets for success.

What skills and qualifications are needed to be a Facebook data analyst?

To thrive as a Facebook Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in data-driven decision making, often supported by a degree in a quantitative field. Expertise with tools such as SQL, Python/R, Excel, and data visualization platforms like Tableau or Power BI, as well as familiarity with Facebook’s own analytics systems, is highly valued. Effective communication, collaboration, and problem-solving skills help you interpret data insights and relay actionable recommendations to cross-functional teams. These abilities ensure the analyst can effectively drive business impact and optimize Facebook’s products and strategies.

What is a Facebook data analyst?

A Facebook Data Analyst is responsible for collecting, analyzing, and interpreting data related to user engagement, ad performance, and platform trends. They use statistical methods and data visualization tools to provide insights that help improve decision-making across different teams. Their work supports business growth by optimizing marketing strategies, improving user experience, and ensuring data-driven decision-making. Strong analytical skills, proficiency in SQL, Python, or R, and experience with data visualization tools like Tableau are often required for this role.

Are Facebook data analysts still in demand?

Facebook data analysts are still in demand as companies continue to rely on data-driven insights for marketing and platform optimization. Skills in data analysis tools like SQL, Python, and data visualization are valuable in this role, which often requires understanding social media metrics and user behavior. The demand is influenced by ongoing digital marketing trends and the need for analytics expertise across social media platforms.
What are the most commonly searched types of Facebook Data Analyst jobs in California? The most popular types of Facebook Data Analyst jobs in California are:
What are popular job titles related to Facebook Data Analyst jobs in California? For Facebook Data Analyst jobs in California, the most frequently searched job titles are:
What job categories do people searching Facebook Data Analyst jobs in California look for? The top searched job categories for Facebook Data Analyst jobs in California are:
What cities in California are hiring for Facebook Data Analyst jobs? Cities in California with the most Facebook Data Analyst job openings:
Facebook Data Analyst jobs near you
Infographic showing various Facebook Data Analyst job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Hybrid job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Data Engineer, Product Analytics

Meta

San Francisco, CA • On-site

$147K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

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

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities:
  • Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
  • Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
  • Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
  • Define and manage Service Level Agreements for all data sets in allocated areas of ownership
  • Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
  • Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
  • Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
  • Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
  • Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
  • Influence product and cross-functional teams to identify data opportunities to drive impact
  • Mentor team members by giving/receiving actionable feedback

Minimum Qualifications:
  • 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)

Preferred Qualifications:
  • Master's or Ph.D degree in a STEM field
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

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.
$147,000/year to $208,000/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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