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Metadata Analyst Jobs in California (NOW HIRING)

TecTammina

Senior Data Analyst

Pleasanton, CA · On-site

$95K - $120K/yr

Create and maintain data model and metadata policies and procedures for functional design ... Own the creation and adoption of the Analytical Data Repository for the National Compliance Office ...

iHerb

eCommerce Product Data Specialist

Irvine, CA · On-site

Responsibilities : • Analyze and track attribute completeness and accuracy. • Improve onsite product discovery via enhanced metadata to drive conversion and revenue growth. • Setup recurring ...

iHerb

eCommerce Product Data Specialist

Irvine, CA · On-site

Analyze and track attribute completeness and accuracy. * Improve onsite product discovery via enhanced metadata to drive conversion and revenue growth. * Setup recurring audits & compliance processes ...

Vkore Solutions

Informatica IIDMC-F2F Interview

Santa Clara, CA · On-site

$62.50 - $82.25/hr

... analysis . * Develop dashboards and reports to monitor governance KPIs. * Provide user training and onboarding on governance and catalog platforms. * Troubleshoot issues related to metadata ingestion ...

IEHP

Data Governance Analyst

Rancho Cucamonga, CA · On-site

... metadata management, and master data management concepts • Familiarity with healthcare data standards (e.g., HL7, ICD-10, CPT) and regulatory frameworks (e.g., HIPAA, CMS) • Strong analysis and ...

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All JobsMetadata Analyst JobsMetadata Analyst Jobs in California

Metadata Analyst information

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$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
Business Data Analyst

Business Data Analyst

SV Tech Systems Inc

Redwood City, CA

Contractor

Posted 21 days ago

Job description

Company Description


SV Tech Systems prides itself in being the leading provider of recruitment and staffing services for a wide range of industries. We provide staffing services to firms throughout the United States and Canada. We attract the best pool of talent with the aim of nurturing sound work ethics and solid values amongst a highly motivated and diverse workforce.


Job Description

Required Skills:

Business Analysis

Requirements for BI and Data solutions

Wire framing on any known tools in the market (Balsamiq, iRise etc)

Client facing soft skills.

Data Warehouse background

Healthcare experience preferred

Reference Data Management

Deliver services that meet internal KPIs & customer SLAs


Qualifications

Required Qualifications:

Extensive knowledge and experience in defining Reference Data Management strategies, implementing RDM services and capabilities, Metadata Management, Data Governance, and Data Quality solutions.

Experience with enterprise level data analysis and integration work and/or providing data focused systems integration solutions

Demonstrated business acumen and the ability to apply technology solutions to solve business problems

Functional knowledge of a variety of technologies and how they work together. 

Broad knowledge across the reporting solution stack: Database, Database schema, ETL, Reporting tool set, experience in segmenting solution / implementation across above layers.

Critical thinking, problem solving skills capable to drive execution, management of SLA commitments and exceptional team results. 

Knowledge of Business Intelligence (BI) / Reporting and datamart domain

Data focused, including analysis, typical issues including data integration challenges/solutions and high level knowledge of dimensional analysis / design concepts

Ability to work across the technology silos to formulate high level designs with project team, assist team to diagnose issues and perform trade-off analysis



Additional Information

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