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Facebook Data Analyst Jobs in California (NOW HIRING)

P2P

Data Analytics Engineer

San Francisco, CA · On-site

$200 - $240/hr

... Facebook, Stanford, and MIT. We're backed by the world's leading VCs and institutions, including ... Experience designing efficient, scalable analytical data models * Proficiency with dbt or ...

New

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 ...

Prolim Global

Facebook - Linguist III

Burlingame, CA · On-site

We are seeking candidates with strong linguistic data analysis and language technology experience to manage data collection, LLM-powered data synthesis and data annotation tasks, prompt engineering ...

Howmet Aerospace

Supply Chain Analyst

Fullerton, CA

$100K - $130K/yr

LinkedIn, Twitter, Instagram, Facebook, and YouTube. Equal Opportunity Employer: Howmet is proud to ... Big Tech, Experience with data visualization tools, such as Tableau or Power BI, Dashboarding

PIH Health

Senior Health Informatics Analyst

Whittier, CA · On-site

$93K - $123K/yr

... makers; provide data analysis, interpretation, and consultation to maximize the use of ... For more information, visit PIHHealth.org or follow us on Facebook, Twitter, or Instagram.

Meta

Product Manager, Facebook

Menlo Park, CA · On-site

$146K - $204K/yr

... to analyze large scale, complex data sets and making effective decisions based on data • ... When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram ...

Cacheflow

Principal Data Scientist

San Francisco, CA · On-site

$150 - $200/hr

Produce deep strategic analyses on revenue, platform health, operational efficiency, and ... To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we ...

Brilent

Senior Data Scientist

San Mateo, CA · On-site

... such as Facebook, LinkedIn, and Microsoft. We are looking for exceptional people to scale our ... Perform large-scale data analysis, find interesting patterns and translate them into product ...

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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 Sep 4, 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 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.

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 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 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Data Analytics Engineer

P2P

San Francisco, CA • On-site

$200 - $240/hr

Other

Medical, Dental, Vision, Retirement

Posted 3 days ago

New

Key responsibilities

  • Build and own the canonical data models in Snowflake that serve as the company's source of truth

  • Structure datasets to optimize vendor AI tools performance, ensuring consistent schemas and well-indexed access patterns

  • Explore and prototype MCP integrations to enable conversational data queries for internal teams

Job description

Our Mission

Our mission is to bring web3 to a billion people, by providing builders with the tools they need to build exceptional onchain products. Alchemy is the only complete developer platform that offers the powerful APIs, SDKs, and tools necessary to build and scale onchain apps and rollups.

Our infrastructure powers 70% of the top web3 teams, 90%+ of web2 companies building in web3 and 100+ million end users. Our customers include top web3 brands like Polymarket, OpenSea, Circle, WorldCoin, as well as major global brands like Shopify and Adobe.

The Alchemy team draws from decades of deep expertise in massively scalable infrastructure, AI, and blockchain from leadership roles at leading companies and universities like Google, Microsoft, Facebook, Stanford, and MIT.

We’re backed by the world’s leading VCs and institutions, including: Lightspeed, Silver Lake, a16z, Coatue, Pantera, Addition, Stanford University, Coinbase, and Charles Schwab, among others.

The Role

This role sits at the frontier of how AI consumes and acts on internal company data. You’ll be the data layer for the entire company — a strategic partner to Finance, Marketing, Sales, Product, and Data Science — designing the clean, trusted datasets that power our AI tooling and ensuring every team can make decisions from a single source of truth. You’ll explore how technologies like MCP can unlock self-serve AI data access across the org, and ensure that as we adopt new AI capabilities, our data is ready to meet them. The rest of the company’s AI ambitions run through you.

What You’ll Do:
  • Build and own the canonical data models in Snowflake that serve as Alchemy's company-wide source of truth — clean, queryable, and AI-ready
  • Structure datasets so vendor AI tools perform optimally out of the box, with consistent schemas, rich semantics, and well-indexed access patterns
  • Explore and prototype MCP integrations that let internal teams query data conversationally
  • Eliminate shadow tables and one-off datasets by proactively serving team data needs at the platform level, freeing data science to move faster
  • Own the transformation layer (dbt), with rigorous testing and validation so every downstream consumer — human or AI — can trust what they’re working with
What We’re Looking For:
  • 6+ years in data engineering with strong SQL and deep Snowflake expertise
  • Experience designing efficient, scalable analytical data models
  • Proficiency with dbt or comparable transformation frameworks
  • Strong data quality instincts and a track record of building infrastructure that unblocks teams
  • Good judgment — you scope well, prioritize ruthlessly, and communicate tradeoffs
  • Experience in startups, a plus
Benefits & Perks
  • 🏥 Medical, Dental, & Vision
  • 💪 Gym Reimbursement
  • 🖥️ Home Office Build-out Budget
  • 🥙 In-Office Group Meals
  • 🚅 Commuter Benefits
  • 🌴 Flexible Time Off
  • 🧘♂️ Wellbeing & Mental Health Perks
  • 🧠 Learning & Development Stipend
  • 🌎 Company Sponsored Conferences & Events
  • 💸 HSA and FSA Plans
  • 🧬 Fertility Benefits
More on The Role

Alchemy is committed to offering competitive compensation, including base salary as well as equity. Additionally, Alchemy offers comprehensive medical, dental, and vision coverage, as well as other benefits such as 401k and unlimited flexible time off.

The base salary range for this position is estimated to be between $200,000 - $240,000 annually. Please note this range reflects base salary only, and does not include bonus, equity, or benefits. Your salary will be determined by various factors, including relevant experience, skill set, qualifications, and other business needs.

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