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Metadata Analyst Jobs in California (NOW HIRING)

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

Develop intimate familiarity with existing databases and construct metadata references * With guidance, support lead Data Scientists in feature development and model analysis Requirements: * Bachelor ...

TecTammina

Sr Data Analyst

Pleasanton, CA

$95K - $120K/yr

Build and implements Data Analytic solutions that serve as key decision support systems for the ... Create and maintain data model and metadata policies and procedures for functional design ...

INSPYR Solutions

Compliance Analyst

Menlo Park, CA · On-site

$40 - $70/hr

Compliance Analyst Location: Remote US - Must be available in PST hours Duration: 12+ months ... Support data cataloging, lineage, and metadata management processes. * Validate and track data ...

TecTammina

Sr Data Analyst

Pleasanton, CA

$95K - $120K/yr

Build and implements Data Analytic solutions that serve as key decision support systems for the ... Create and maintain data model and metadata policies and procedures for functional design ...

Softpath System LLC

Financial Analyst

San Jose, CA

... Metadata Management and technology staffing solutions. Our mission is to help clients gain ... Financial Analyst Location : San Jose, CA Duration: 1+ Year ROLE: D&G (Data and Governance ...

East West Bank

Data Governance

Pasadena, CA · On-site

$115K/yr

This role partners closely with business stakeholders, data owners, technology teams, analytics teams, and risk and compliance functions to implement governance processes, metadata management, data ...

East West Bank

Data Governance

Pasadena, CA

This role partners closely with business stakeholders, data owners, technology teams, analytics teams, and risk and compliance functions to implement governance processes, metadata management, data ...

East West Bank

Data Governance

Pasadena, CA · On-site

The position will partner closely with business stakeholders, data owners, technology teams, analytics teams, and risk/compliance functions to implement governance processes, data controls, metadata ...

UC Davis Health

Data Systems Analyst 4

Sacramento, CA · On-site

$102K - $202K/yr

Data System Analyst (University of California, Davis; Rancho Cordova, CA): Provide data management ... Design diverse data systems, create interfaces between computer systems, & manage metadata for ...

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All JobsMetadata Analyst JobsMetadata Analyst Jobs in California

Metadata Analyst information

See California salary details

$30.6K

$72.3K

$128.3K

How much do metadata analyst jobs pay per year?

As of Jun 26, 2026, the average yearly pay for metadata analyst in California is $72,302.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,800.00 and $85,900.00 per year, depending on experience, location, and employer.

What is a Metadata Analyst job?

A Metadata Analyst is responsible for organizing, managing, and maintaining metadata—structured information about data—within an organization. They ensure that data assets are accurately categorized, labeled, and accessible, improving searchability and data governance. Their role often involves working with databases, content management systems, and metadata standards to enhance data quality and consistency. Additionally, they collaborate with IT, data management, and business teams to ensure metadata aligns with organizational goals.

How much does a metadata analyst make?

A metadata analyst at Netflix typically earns between $70,000 and $110,000 annually, depending on experience and location. Salaries may also include benefits such as health insurance and stock options, and the role often requires proficiency with data management tools and metadata standards.

How much does a metadata analyst make in the US?

A metadata analyst in the US typically earns between $50,000 and $85,000 annually, depending on experience, location, and industry. Entry-level positions may start around $45,000, while experienced analysts with specialized skills can earn over $90,000. The role often requires proficiency in data management tools and attention to detail.

What are some typical challenges a Metadata Analyst might face in their daily work?

Metadata Analysts often encounter challenges such as managing large volumes of diverse data, ensuring metadata consistency across multiple systems, and navigating evolving data privacy regulations. Staying current with industry standards and adapting metadata frameworks to support new business needs can also be demanding. Working closely with IT, data governance, and business teams, Metadata Analysts must balance competing priorities and address data quality issues proactively. Overcoming these challenges helps enhance data findability, compliance, and overall organizational efficiency.

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

To thrive as a Metadata Analyst, a solid understanding of data management, database concepts, metadata standards, and a degree in information science, library science, or a related field is key. Familiarity with metadata management tools, data cataloging platforms, and systems like SQL, XML, and DAM (Digital Asset Management) systems, as well as certifications such as Certified Data Management Professional (CDMP), are often beneficial. Strong attention to detail, analytical thinking, and effective communication are essential soft skills that help with collaborating across departments. These combined skills ensure data is accurately organized, discoverable, and valuable for organizational decision-making and compliance.

Is AI replacing data analysts?

AI is automating certain tasks within the role of a metadata analyst, such as data cleaning and pattern recognition, but it does not fully replace the need for human expertise in interpreting data, making strategic decisions, and ensuring data quality. Data analysts are increasingly required to work alongside AI tools, leveraging skills in data management, analysis, and visualization to add value. The role continues to evolve with a focus on combining technical proficiency with domain knowledge and critical thinking.

What does a metadata analyst do?

A metadata analyst is responsible for organizing, managing, and ensuring the accuracy of metadata, which is data that describes other data. They often work with data management tools, perform quality checks, and develop standards to improve data retrieval and usability within organizations.
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Metadata Analyst jobs near you
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA • On-site, Remote

Full-time

Posted 20 hours ago

Job description

Company Description
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Duties:
  • Work closely with Data Scientists and Engineers to diagnose and treat data pipeline integrity issues
  • Detect data inaccuracies such as missing, out of range or otherwise incorrect on-field data
  • Source origins of data inaccuracies through data pipeline dependencies and python code base
  • Define data validation tests to flag future game errors
  • Research accurate roster active statuses, primary positions and game participation
  • Validate data changes after logic updates
  • Production model feature deep dives to explain project market lines
  • Clearly document findings
  • Develop intimate familiarity with existing databases and construct metadata references
  • With guidance, support lead Data Scientists in feature development and model analysis

Requirements:
  • Bachelor's Degree in Computer Science, Data Science or similar major
  • Minimum of 1 year of experience in football data analysis
  • Deep knowledge of football, basketball or baseball; including roster compositions of professional and college teams, general gameplay strategies, and typical in-game scenarios
  • Data Extraction, Wrangling and Analysis in Python
  • Strong SQL querying skills
  • Attention to detail

Preferred:
  • Strong Python data management programming skills
  • Data Visualization experience with a user application like Streamlit
  • Deep knowledge of a second sport including football, basketball, baseball, hockey or tennis
  • Exposure to the data science process and tech stack
  • Anomaly Detection Techniques

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully Remote

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