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Meta Data Analyst Jobs in California (NOW HIRING)

... connect Meta's data centers (DCs), Edge Points of Presence (PoPs) and Meta Network Appliances ... This role requires a strong background in strategy development, financial analysis, telecom ...

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products ... Your technical skills and analytical mindset will be utilized designing and building some of the ...

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products ... This could include roles such as data analyst, data scientist, data engineer, or similar positions ...

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products ... This could include roles such as data analyst, data scientist, data engineer, or similar positions ...

Meta's mission is to give people the power to build community and bring the world closer together ... Experience analyzing market and technical data into strategic plans * Experience with analytical ...

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products ... This could include roles such as data analyst, data scientist, data engineer, or similar positions ...

Meta designs, builds, leases, and operates highly efficient data centers. Locating, developing, and ... Proficiency in standard document and analytics platforms Preferred Qualifications: * Demonstrated ...

Director Data Science + Analytics About the Role Join Midi Health as a Growth Analyst. As we scale ... Ad Platform dashboards (Meta, Google, etc.). * Analytical Capabilities: Ability to analyze ...

Director Data Science + Analytics About the Role Join Midi Health as a Growth Analyst. As we scale ... Ad Platform dashboards (Meta, Google, etc.). * Analytical Capabilities: Ability to analyze ...

The Ideal Candidate You are a highly analytical problem solver who is excited about using data ... Familiarity with major advertising platforms and measurement ecosystems, including Meta, Google ...

Data Analyst, Growth

San Francisco, CA · On-site

$100K - $150K/yr

We're hiring a sharp, business-minded Data Analyst to partner closely with marketing and help us ... Comfortable analyzing performance across channels like Meta, Google Ads, and TikTok * Experienced ...

... Meta's global data center fleet. In this role, you will define and execute long-term supply ... analysis and should-cost modeling for memory components to inform negotiation strategies and ...

... Meta's data center fleet * Identify and resolve systemic reliability and performance issues across production hardware by analyzing telemetry, failure patterns, and system-level diagnostics * Define ...

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Meta Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do meta data analyst jobs pay per year?

As of Jul 18, 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.

Is 40 too late for data science?

Meta Data Analysts and other data science roles do not have strict age limits; many professionals start or transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and experience are valued in the field, making age less of a barrier than skill and knowledge.

How to get into Meta as a data analyst?

To become a data analyst at Meta, candidates typically need a bachelor's degree in a related field such as statistics, computer science, or mathematics, along with strong skills in SQL, data visualization tools, and statistical analysis. Gaining experience through internships, projects, or certifications in data analysis or related areas can improve chances. Familiarity with Meta's tools and a solid understanding of data privacy and security are also beneficial.

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.

What are the key skills and qualifications needed to thrive in the Meta Data Analyst position, and why are they important?

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.

How much does a Meta data analyst make?

A Meta Data Analyst typically earns between $60,000 and $100,000 annually, depending on experience, location, and skill level. Entry-level positions may start lower, while experienced analysts with advanced skills in data management and analytics tools can earn higher salaries.

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

Meta Data Analysts are in demand as organizations rely on data-driven decision-making, and skills in SQL, Excel, and data visualization tools remain valuable. The role is expected to grow with increasing data volumes, making it a viable career choice for those with strong analytical and technical skills.

What is a Meta Data Analyst job?

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 cities in California are hiring for Meta Data Analyst jobs? Cities in California with the most Meta Data Analyst job openings:
Infographic showing various Meta Data Analyst job openings in California as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 8% Part Time, 2% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.
Schedule & Technical Integration Manager, Data Centers

Schedule & Technical Integration Manager, Data Centers

Meta

Menlo Park, CA • On-site

$178K - $245K/yr

Full-time

Posted 15 days ago


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

135th of 209 rated software companies


Job description

Meta is looking for a Schedule and Technical Integration Manager to join our Data Center Project Development team. In this role, you'll lead the technical schedule organization and unify DEC's scheduling and technical integration, helping us deliver capacity faster across a multibillion-dollar portfolio. You'll drive the shift from manual processes to AI-enabled oversight, focusing on speed to market and clear executive communication. Your decisions will shape our technical direction and ensure our schedules reflect real project progress and confidence. As the single point of accountability, you'll make sure our reporting and acceleration initiatives are accurate and effective, playing a key part in advancing Meta's data center capacity and project execution. Meta's data centers form the backbone of our global infrastructure, powering the platforms and services that connect billions of people every day.
Responsibilities
Lead a strategic, mission-critical function within Data Center Engineering and Construction (DEC), directly accelerating capacity delivery across a multi-billion-dollar portfolio
• Own and govern integrated master schedules, schedule baselines, critical path analysis and schedule metrics across multiple concurrent data center development projects, ensuring alignment across portfolio and project lifecycles
• Lead technical integration efforts by coordinating across civil, structural, mechanical, electrical, and connectivity/network disciplines to identify and resolve cross-system dependencies, creating a single, unified workflow for identifying risks proactively, accelerating capacity decisions and achieving maximum operational efficiency
• Lead a team of schedulers and technical integration professionals, including full-time employees and contingent workers, providing direction, development, and performance oversight
• Establish and maintain schedule baselines, critical path analyses, and earned value metrics to provide accurate forecasting and early identification of schedule risks
• Partner directly with Design, Engineering, and Construction delivery teams to develop and maintain the most efficient and technically correct schedule logic, ensuring that approved acceleration levers are fully realized on the ground and develop recovery plans and mitigation strategies when schedule deviations are identified
• Serve as the single accountable leader for ensuring "schedule is the source of truth," translating complex technical scope and probabilistic risks (P50, P90) into actionable executive-grade narratives for senior leadership and partners to accelerate strategic decision-making
• Drive standardization and continuous improvement of schedule development methodologies, project review and risk identification processes, and reporting cadences across the data center project portfolio
• Collaborate with the Project Controls function to ensure that cost and schedule data are integrated and support accurate capital expenditure forecasting
• Drive the strategic shift from manual schedule administration to an AI-native technical oversight model, prioritizing speed to market as the central objective for all future infrastructure builds
Minimum Qualifications
• Experience in developing and managing integrated master schedules using industry-standard scheduling tools such as Primavera P6 or Microsoft Project
• Experience leading cross-functional teams across engineering, procurement, and construction disciplines on complex, multi-phase development programs
• 10+ years of experience in project controls, schedule management, or technical integration on large-scale capital construction or infrastructure programs
• Experience in communicating schedule performance, technical risks, and mitigation strategies to senior leadership and executive stakeholders
Preferred Qualifications
• 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
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Familiarity with Owner-Furnished Equipment procurement processes and their integration into construction schedules
• Experience with project management platforms such as Procore, Oracle Primavera Cloud, or Unifier in a capital program context
• Experience in data center development, mission-critical facility construction, or large-scale energy infrastructure programs
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Demonstrated ability to integrate AI tools to optimize schedule workflows, automate reporting, or drive measurable improvements in forecast accuracy
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.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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