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Remote Meta Data Analyst Jobs in California (NOW HIRING)

Meta is seeking an experienced Energy Analyst to join the Infrastructure Data Center (IDC) Energy team, which is responsible for commercial energy strategy, rate analysis, and load forecasting across ...

Remote Who is IDEX Health & Science (IH&S)? As a business unit of IDEX Corporation, IH&S has a long ... Analyze financial and operational data to identify ways to capture and report on trends, variances ...

Meta is seeking an experienced Energy Analyst to join the Infrastructure Data Center (IDC) Energy team, which is responsible for commercial energy strategy, rate analysis, and load forecasting across ...

Metric & Data Analyst Sr

Palmdale, CA · On-site +1

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Senior Data Analyst

Foster City, CA · Remote

$80K - $130K/yr

... data-proven results * Strong analytical, organizational and problem-solving skills including ... REMOTE QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race ...

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Remote Meta Data Analyst information

How does a Remote Meta Data Analyst typically collaborate with other teams while working off-site?

As a Remote Meta Data Analyst, collaboration is primarily achieved through virtual meetings, project management platforms, and shared data repositories. You will frequently interact with data engineers, business analysts, and IT teams to ensure data accuracy, consistency, and usability. Regular check-ins, clear documentation, and proactive communication are essential for aligning on project goals and addressing any issues quickly. While remote, you are expected to be self-motivated and responsive to maintain seamless teamwork across different time zones and departments.

What is a Remote Meta Data Analyst?

A Remote Meta Data Analyst is a professional who works from a remote location to organize, manage, and analyze metadata—data that describes other data—within an organization. Their role typically involves ensuring the accuracy, consistency, and accessibility of metadata across digital systems, which helps improve data quality and supports business decision-making. They may work with data governance teams, IT departments, and business analysts to standardize data assets and comply with regulations. Strong analytical skills, attention to detail, and experience with metadata management tools are important for this role.

What are the key skills and qualifications needed to thrive as a Remote Meta Data Analyst, and why are they important?

To thrive as a Remote Meta Data Analyst, you need a solid understanding of data management principles, metadata standards, and a relevant degree in information science, computer science, or a related field. Familiarity with metadata management tools (such as Collibra or Alation), SQL, and data cataloging systems is typically required. Strong analytical thinking, attention to detail, and effective remote communication help you excel in this position. These skills ensure accurate data documentation, streamlined data governance, and effective collaboration across distributed teams.

What is the difference between Remote Meta Data Analyst vs Remote Data Analyst?

AspectRemote Meta Data AnalystRemote Data Analyst
Required CredentialsBachelor's in Data Science, Information Technology, or related field; familiarity with metadata standardsBachelor's in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentRemote, often collaborating with data management teamsRemote, working with data sets and reporting tools
Industry UsageUsed in data management, digital asset management, and metadata catalogingCommon across finance, marketing, healthcare, and more for data insights

The Remote Meta Data Analyst focuses on managing and organizing metadata to ensure data quality and discoverability, while the Remote Data Analyst primarily analyzes data sets to generate insights. Both roles often work remotely and require strong analytical skills, but their core responsibilities differ in focus on metadata versus raw data analysis.

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 job categories do people searching Remote Meta Data Analyst jobs in California look for? The top searched job categories for Remote Meta Data Analyst jobs in California are:
What cities in California are hiring for Remote Meta Data Analyst jobs? Cities in California with the most Remote Meta Data Analyst job openings:
Principal Operations Data Analyst

Principal Operations Data Analyst

Pacific Gas and Electric Company

Oakland, CA • On-site, Remote

$140K/yr

Other

Posted 9 days ago


Pacific Gas and Electric Company rating

8.9

Company rating: 8.9 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

5th of 52 rated energy and utility


Job description

Requisition ID # 171393 

Job Category: Business Operations / Strategy 

Job Level: Manager/Principal

Business Unit: Energy Delivery

Work Type: Hybrid

Job Location: Oakland

Department Overview 

The Procurement Organization includes a staff of more than two hundred sourcing managers, buyers, analysts, and supplier diversity personnel. Our mission is to deliver cost effective and valued procurement services through strategic, diverse, and sustainable business solutions. Our work requires close integration with all lines of business, finance, and our suppliers.

The Procurement Excellence Center (PEC) is a strategic function dedicated to driving procurement transformation, operational efficiency, and value creation across the organization. Within the Procurement organization, the PEC establishes best practices, standardizes processes, and leverages advanced analytics and market intelligence to enable data-driven decision-making. The PEC collaborates with all Procurement teams to enhance capabilities, improve performance, and optimize costs. Key focus areas include market intelligence and analytics, digital procurement transformation, risk management, supplier relationship management, governance, and capability development.

Position Summary

The Principal Operations Data Analyst  drives advanced analytics and modeling efforts to support strategic, datadriven decisions across PG&E's Procurement Excellence Center. The role leads complex initiatives that enhance procurement performance, operational efficiency, and cost optimization.

This role is accountable for identifying, prioritizing, and deploying AI use cases across Procurement and Supply Chain, from problem framing through production deployment and value realization. The Principal Operations Data Analyst acts as a bridge between business, digital, and IT teams to operationalize AI solutions that improve productivity, reduce cost, manage risk, and enhance supplier collaboration. 

This position is hybrid, working from your remote office and Oakland based on business needs or company requirements. 

PG&E is providing the full salary/pay range for this position. The actual amount paid to an individual will be based on multiple factors, including, but not limited to, internal equity, specific skills, education, licenses or certifications, experience, market value, and geographic location. The range to reasonably expect will be around the minimum and the midpoint <$140,000 - $189,000>. The final decision will be made on a case-by-case basis related to the factors above. This job is also eligible to participate in PG&E's discretionary incentive compensation programs.

Bay Area Min: $140,000

Bay Area Mid: $ 189,000

Bay Area Max: $ 238,000

Reporting Relationship

The Principal Operations Data Analyst will report to the Sr Director, Procurement Excellence Center.

Job Responsibilities

  • Owns the endtoend lifecycle of AI use cases across SourcetoPay and Supply Chain, including ideation, business case development, pilot execution, scaling, and sustained adoption.
  • Partners with Procurement, Supply Chain, IT, Digital, and Data teams to translate business problems into deployable AI solutions.
  • Measures and communicates realized value (cost savings, cycletime reduction, risk mitigation, productivity gains) from AI deployments.
  • Leads the design and deployment of agentic AI and intelligent automation solutions across SourcetoPay and Supply Chain processes, including sourcing, contracting, buying, supplier management, and fulfillment.
  • Acts as a thought leader applying extensive data processing and data analysis expertise in the development of strategy or resolution to complex data issues. Creates very complex automated data routines and processes for reporting and data delivery ensuring accurate data manipulation and data cleansing.
  • Applies advanced analytics and data engineering techniques to support AI- driven decision making Presents/communicates clear, concise and actionable data analyses for clients.
  • Acts as team lead and provides direction to less experienced employees.
  • May work with Senior Management to develop business related strategy, leveraging data in decision making.
  • Ensures data quality, governance, and traceability across integrated tools and analytical models.

Background Qualifications

Minimum

  • BA/BS Degree in Marketing, Business, Computer Science, Engineering or other related field or equivalent work experience
  • 8 Years related work experience

Desired

  • 6 Years in Supply Chain and Procurement as a data analyst or a data scientist
  • Masters Degree
  • Handson experience deploying machine learning, generative AI, or agentbased systems into production business workflows for Supply chain
  • Experience operationalizing AI solutions within enterprise platforms (e.g., SAP, Ariba, or adjacent procurement technologies).
  • Familiarity with utility operations.
  • Understanding of SAP and Ariba
  • Ability to influence senior leaders and drive adoption of AIenabled ways of working.
  • Advanced skill in writing SQL queries using Oracle or Business Objects
  • Expertise in project management to lead large, cross functional projects and develop concise data findings for Sr. Management.

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