Data Analytics Manager Visa Sponsorship Jobs in California
California leads the country in data analytics manager hiring, with major sponsors concentrated in the San Francisco Bay Area, Los Angeles, and San Diego. Companies like Google, Meta, Salesforce, and Apple regularly hire for these roles and have established H-1B visa sponsorship programs. The state's dominant tech, entertainment, and life sciences industries create consistent demand for analytics leadership.
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Get Access To All JobsRequisition ID: 174465
Job Category: Business Operations / Strategy
Job Level: Individual Contributor
Business Unit: Energy Delivery
Work Type: Hybrid
Job Location: San Ramon
Department Overview
The Wildfire, Emergency and Operations (WEO) organization is responsible for oversight of PG&E’s wildfire operations and associated mitigations. The organization is responsible for the development and maintenance of consistent processes and work standards associated with sustainable wildfire and emergency response preparedness operations in line with our regulatory policies and practices. Operational Safety, Enterprise Corrective Action Program, Safety Programs, Contractor Safety, and Transportation Safety & Compliance is also embedded within Wildfire, Emergency and Operations.
WEO partners with leaders in Energy Delivery and other parts of the business to develop and recommend a strategic direction for emergency preparedness, emergency response and public partnerships. Wildfire, Emergency and Operations is comprised of roughly 1,792 coworkers.
Position Summary
The Operations Data Analyst extracts operations data for analysis, leadership support and responses to ad hoc data requests. The incumbent maintains operations tools & databases ensuring that it is kept up-to-date using data from various PG&E systems. They develop, maintain and enhance operational metric database tools for the broader analytics team(s). The Analyst identifies and solves current gaps in data requirements and ease of access to ensure fast and consistent responses to leadership inquiries.
This position is hybrid, working from your remote office and your assigned location based on business need. Headquarters will be San Ramon and Tuesdays will be expected in office.
PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity. Although we estimate the successful candidate hired into this role will be placed towards the middle or entry point of the range, the decision will be made on a case-by-case basis related to these factors.
Bay Minimum: $90,000
Bay Maximum: $136,000
This job is also eligible to participate in PG&E’s discretionary incentive compensation programs.
Job Responsibilities
-
Manage standard, routine data analysis projects with limited supervision from initial request to presenting data results ensuring that the project is completed within budget and on-time.
-
Work with other Data Management Analysts to process data, analyze data and report findings. Creates automated data routines and processes for reporting and data delivery ensuring accurate data manipulation and data cleansing.
-
Manages standard data extracts and list pulls ensuring accurate data. Transfers the data from databases to various analysts to support operational analysis efforts.
-
Demonstrates full understanding of data processing and analysis techniques. Analyzes data using various statistical tools to develop ad hoc reports, statistics, trends and profiles.
-
Develops and communicates clear, concise and actionable data analyses for clients.
Qualifications
Minimum:
BA/BS Degree in Marketing, Business, Computer Science, Engineering or other related field or equivalent work experience
Job-related experience, 2 years
Desired:
-
Familiarity with utility operations.
-
Advanced skill in Microsoft Excel/Access (complex formulas, graphing, VBA)
-
Advanced skill in building Power Bi reports
-
Advanced skill in writing SQL queries
-
Solid knowledge of python programming language and common data packages like pyspark and pandas.
-
Strong organizational skills, ability to effectively prioritize work, meet deadlines and work on multiple tasks independently.
-
Good communications and presentation skills to deliver findings and make recommendations to stakeholders.
-
Project management skills.
-
Familiarity with cloud based data integration platforms such as SnowFlake or Foundry
Requisition ID: 174465
Job Category: Business Operations / Strategy
Job Level: Individual Contributor
Business Unit: Energy Delivery
Work Type: Hybrid
Job Location: San Ramon
Department Overview
The Wildfire, Emergency and Operations (WEO) organization is responsible for oversight of PG&E’s wildfire operations and associated mitigations. The organization is responsible for the development and maintenance of consistent processes and work standards associated with sustainable wildfire and emergency response preparedness operations in line with our regulatory policies and practices. Operational Safety, Enterprise Corrective Action Program, Safety Programs, Contractor Safety, and Transportation Safety & Compliance is also embedded within Wildfire, Emergency and Operations.
WEO partners with leaders in Energy Delivery and other parts of the business to develop and recommend a strategic direction for emergency preparedness, emergency response and public partnerships. Wildfire, Emergency and Operations is comprised of roughly 1,792 coworkers.
Position Summary
The Operations Data Analyst extracts operations data for analysis, leadership support and responses to ad hoc data requests. The incumbent maintains operations tools & databases ensuring that it is kept up-to-date using data from various PG&E systems. They develop, maintain and enhance operational metric database tools for the broader analytics team(s). The Analyst identifies and solves current gaps in data requirements and ease of access to ensure fast and consistent responses to leadership inquiries.
This position is hybrid, working from your remote office and your assigned location based on business need. Headquarters will be San Ramon and Tuesdays will be expected in office.
PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity. Although we estimate the successful candidate hired into this role will be placed towards the middle or entry point of the range, the decision will be made on a case-by-case basis related to these factors.
Bay Minimum: $90,000
Bay Maximum: $136,000
This job is also eligible to participate in PG&E’s discretionary incentive compensation programs.
Job Responsibilities
-
Manage standard, routine data analysis projects with limited supervision from initial request to presenting data results ensuring that the project is completed within budget and on-time.
-
Work with other Data Management Analysts to process data, analyze data and report findings. Creates automated data routines and processes for reporting and data delivery ensuring accurate data manipulation and data cleansing.
-
Manages standard data extracts and list pulls ensuring accurate data. Transfers the data from databases to various analysts to support operational analysis efforts.
-
Demonstrates full understanding of data processing and analysis techniques. Analyzes data using various statistical tools to develop ad hoc reports, statistics, trends and profiles.
-
Develops and communicates clear, concise and actionable data analyses for clients.
Qualifications
Minimum:
BA/BS Degree in Marketing, Business, Computer Science, Engineering or other related field or equivalent work experience
Job-related experience, 2 years
Desired:
-
Familiarity with utility operations.
-
Advanced skill in Microsoft Excel/Access (complex formulas, graphing, VBA)
-
Advanced skill in building Power Bi reports
-
Advanced skill in writing SQL queries
-
Solid knowledge of python programming language and common data packages like pyspark and pandas.
-
Strong organizational skills, ability to effectively prioritize work, meet deadlines and work on multiple tasks independently.
-
Good communications and presentation skills to deliver findings and make recommendations to stakeholders.
-
Project management skills.
-
Familiarity with cloud based data integration platforms such as SnowFlake or Foundry
Data Analytics Manager Job Roles in California
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Search Data Analytics Manager Jobs in CaliforniaData Analytics Manager Jobs in California: Frequently Asked Questions
Which companies in California sponsor visas for data analytics managers?
Large technology companies are the most active sponsors for data analytics manager roles in California. Google, Meta, Apple, Salesforce, Adobe, and Netflix have filed H-1B petitions for analytics leadership positions regularly, particularly in the Bay Area. Beyond tech, companies like Kaiser Permanente in healthcare and Wells Fargo in financial services also sponsor this role. Sponsorship activity tends to concentrate in firms with dedicated immigration support infrastructure.
Which visa types are most common for data analytics manager roles in California?
The H-1B is the most common visa for data analytics managers in California. The role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in statistics, computer science, mathematics, or a related field. Candidates already holding L-1A or L-1B status through a multinational employer can also transition into these roles. Australians with the right background may qualify for the E-3 visa, which has no lottery requirement.
Which cities in California have the most data analytics manager sponsorship jobs?
The San Francisco Bay Area, including San Jose, San Francisco, and Sunnyvale, accounts for the largest share of data analytics manager sponsorship jobs in California. Los Angeles is the second major hub, driven by entertainment technology, e-commerce, and healthcare companies. San Diego has a growing cluster of biotech and defense firms that hire for analytics leadership. Remote roles posted by California-headquartered companies also fall under California prevailing wage requirements.
How to find data analytics manager visa sponsorship jobs in California?
Migrate Mate is built specifically for international candidates and filters data analytics manager roles in California by visa sponsorship status, so you're not sifting through postings from employers who won't sponsor. The platform surfaces positions from companies with documented H-1B filing history, which is particularly useful for this role given how concentrated sponsorship activity is among established Bay Area and Los Angeles tech employers.
Are there state-specific considerations for data analytics manager roles and visa sponsorship in California?
California's prevailing wage requirements under the H-1B program are among the highest in the country, reflecting the state's cost of living, particularly in the Bay Area. Employers must certify they'll pay at or above the Department of Labor's prevailing wage for the specific location of work, not just a national average. California also has strong worker protection laws that apply regardless of immigration status, and many sponsoring employers here have in-house immigration counsel to manage filings.
What is the prevailing wage for sponsored data analytics manager jobs in California?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.