Data Operations Analyst Jobs in California
Data Operations Analyst jobs in California are among the most active in the country, concentrated in technology, financial services, healthcare, and enterprise software across seniority levels from entry-level associates through senior analysts and team leads. The heaviest hiring is in the San Francisco Bay Area, Los Angeles, and San Diego, where companies like Salesforce, Kaiser Permanente, and Wells Fargo maintain large data and analytics functions. The most in-demand specialties are data pipeline management, business intelligence reporting, and data quality governance. Find a role that fits below and apply directly.
Find Data Operations Analyst JobsOverview
Showing 5 of 23+ Data Operations Analyst jobs
Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Services Group, Engineering Services Group > Engineering OperationsGeneral Summary:
We are seeking a highly skilled Data Scientist to support CPSE Eng Ops through advanced analytics, data science, and intelligent automation, with a strong focus on Operating Expense (Opex) planning, HC Management, forecasting, and reporting .
This role combines deep analytical judgment, hands-on Python delivery, and AI-enabled automation to transform CPSE Eng Ops workflows and decision support. The individual will work with complex enterprise operating expense and planning data, develop scalable analytics and AI solutions, and deliver management-ready insights to CPSE Eng Ops leadership. The role operates with limited supervision and plays a key role in continuously improving CPSE Eng Ops analytics, automation, and self-service capabilities.
Minimum Qualifications:
- Bachelor's degree and 4+ years of Engineering Operations or related work experience.
Associate's degree and 6+ years of Engineering Operations or related work experience.
OR
High School Diploma or equivalent and 8+ years of Engineering Operations or related work experience.
- Completed advanced degrees in a relevant field may be substituted for up to two years (Master’s = one year, Doctorate = two years) of work experience.
Data Science, AI & Automation
- Build and maintain Python-based datasets, analytical models, and automation workflows using enterprise operating expense and planning data.
- Design and deploy scalable analytics and automation solutions to reduce manual reporting and recurring analysis effort.
- Apply statistical, forecasting, and AI-enabled techniques where appropriate, ensuring explainable, auditable, and governance-compliant outputs.
- Develop AI/ML and GenAI solutions (including LLMs, AI agents, and context-aware orchestration such as Model Context Protocol where applicable) for CPSE Eng Ops use cases such as forecasting, anomaly detection, reconciliations, and operational reporting support.
- Integrate analytical and AI solutions with enterprise systems such as Oracle ERP, SAP, TM1 systems.
- Validate data quality, logic, and outputs to meet CPSE Eng Ops governance, controls, and audit requirements.
Collaboration, Adoption & Enablement
- Enable adoption of analytics and automation through standardized dashboards, templates, and self‑service tools.
- Create high‑quality documentation covering logic, assumptions, reconciliations, and usage guidance.
- Drive change management by developing training materials and partnering with stakeholders to scale usage.
- Collaborate with IT and enterprise teams to align solutions with data, security, and AI governance standards.
Opex Analytics, HC & CPSE Eng Ops Insights
- Analyze Opex actuals, budget, and forecast data to identify key drivers, risks, and variance trends.
- Develop repeatable analytics for run-rate analysis, spend trends, target utilization, and forecast accuracy.
- Translate CPSE Eng Ops business questions into structured analytical approaches, metrics, and assumptions.
- Deliver clear, management-ready insights and visualizations to CPSE Eng Ops leadership.
Strategic Contribution
- Define KPIs and success metrics to measure the impact of analytics and AI initiatives in CPSE Eng Ops.
- Stay current with advancements in generative AI, agent‑based systems, and enterprise AI governance.
- Present insights, proposals, and recommendations to senior CPSE Eng Ops leaders and executive stakeholders.
Qualifications
- Bachelor’s degree in Data Science, Computer Science, Finance, Accounting, Economics, Engineering, or related field.
- 4+ years of relevant experience in data science, analytics, or finance analytics roles.
- Strong analytical and problem-solving skills with structured enterprise datasets.
- Proficiency in Python for data analysis, modeling, and automation.
- Ability to communicate analytical insights effectively to non-technical stakeholders.
Preferred Qualifications
- Master’s degree in a quantitative or finance, operations related discipline.
- Experience supporting Opex, HC Management or cost management functions.
- Exposure to AI/ML or LLM-based solutions in enterprise environments.
- Experience with automation tools such as Power Automate or n8n.
- Experience with Data bricks, Power BI or Tableau.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits :
$108,000.00 - $162,000.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link .
If you would like more information about this role, please contact Qualcomm Careers .
Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Services Group, Engineering Services Group > Engineering OperationsGeneral Summary:
We are seeking a highly skilled Data Scientist to support CPSE Eng Ops through advanced analytics, data science, and intelligent automation, with a strong focus on Operating Expense (Opex) planning, HC Management, forecasting, and reporting .
This role combines deep analytical judgment, hands-on Python delivery, and AI-enabled automation to transform CPSE Eng Ops workflows and decision support. The individual will work with complex enterprise operating expense and planning data, develop scalable analytics and AI solutions, and deliver management-ready insights to CPSE Eng Ops leadership. The role operates with limited supervision and plays a key role in continuously improving CPSE Eng Ops analytics, automation, and self-service capabilities.
Minimum Qualifications:
- Bachelor's degree and 4+ years of Engineering Operations or related work experience.
Associate's degree and 6+ years of Engineering Operations or related work experience.
OR
High School Diploma or equivalent and 8+ years of Engineering Operations or related work experience.
- Completed advanced degrees in a relevant field may be substituted for up to two years (Master’s = one year, Doctorate = two years) of work experience.
Data Science, AI & Automation
- Build and maintain Python-based datasets, analytical models, and automation workflows using enterprise operating expense and planning data.
- Design and deploy scalable analytics and automation solutions to reduce manual reporting and recurring analysis effort.
- Apply statistical, forecasting, and AI-enabled techniques where appropriate, ensuring explainable, auditable, and governance-compliant outputs.
- Develop AI/ML and GenAI solutions (including LLMs, AI agents, and context-aware orchestration such as Model Context Protocol where applicable) for CPSE Eng Ops use cases such as forecasting, anomaly detection, reconciliations, and operational reporting support.
- Integrate analytical and AI solutions with enterprise systems such as Oracle ERP, SAP, TM1 systems.
- Validate data quality, logic, and outputs to meet CPSE Eng Ops governance, controls, and audit requirements.
Collaboration, Adoption & Enablement
- Enable adoption of analytics and automation through standardized dashboards, templates, and self‑service tools.
- Create high‑quality documentation covering logic, assumptions, reconciliations, and usage guidance.
- Drive change management by developing training materials and partnering with stakeholders to scale usage.
- Collaborate with IT and enterprise teams to align solutions with data, security, and AI governance standards.
Opex Analytics, HC & CPSE Eng Ops Insights
- Analyze Opex actuals, budget, and forecast data to identify key drivers, risks, and variance trends.
- Develop repeatable analytics for run-rate analysis, spend trends, target utilization, and forecast accuracy.
- Translate CPSE Eng Ops business questions into structured analytical approaches, metrics, and assumptions.
- Deliver clear, management-ready insights and visualizations to CPSE Eng Ops leadership.
Strategic Contribution
- Define KPIs and success metrics to measure the impact of analytics and AI initiatives in CPSE Eng Ops.
- Stay current with advancements in generative AI, agent‑based systems, and enterprise AI governance.
- Present insights, proposals, and recommendations to senior CPSE Eng Ops leaders and executive stakeholders.
Qualifications
- Bachelor’s degree in Data Science, Computer Science, Finance, Accounting, Economics, Engineering, or related field.
- 4+ years of relevant experience in data science, analytics, or finance analytics roles.
- Strong analytical and problem-solving skills with structured enterprise datasets.
- Proficiency in Python for data analysis, modeling, and automation.
- Ability to communicate analytical insights effectively to non-technical stakeholders.
Preferred Qualifications
- Master’s degree in a quantitative or finance, operations related discipline.
- Experience supporting Opex, HC Management or cost management functions.
- Exposure to AI/ML or LLM-based solutions in enterprise environments.
- Experience with automation tools such as Power Automate or n8n.
- Experience with Data bricks, Power BI or Tableau.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits :
$108,000.00 - $162,000.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link .
If you would like more information about this role, please contact Qualcomm Careers .
See All 23 Data Operations Analyst Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Data Operations Analyst JobsData Operations Analyst Jobs by City in California
Where California roles are concentrated, by current openings.
Data Operations Analyst Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Energy
- Automotive
- Cybersecurity
- Fashion & Apparel
What California Employers Look For
The qualifications that appear most often in data operations analyst jobs across California.
- Bachelor's degree in information systems, computer science, statistics, or a related field
- Proficiency in SQL for querying, transforming, and validating large datasets
- Experience with data pipeline or ETL tools such as Informatica, Talend, or dbt
- Familiarity with cloud data platforms including Snowflake, BigQuery, or Azure Synapse
- Strong skills in data quality monitoring, documentation, and root-cause analysis
- Experience with business intelligence tools such as Tableau, Looker, or Power BI
Data Operations Analyst Jobs in California: Frequently Asked Questions
How do you become a data operations analyst in California?
Most data operations analyst roles in California require a bachelor's degree in information systems, computer science, business analytics, or a related field. California does not issue a state-specific license for this role, so hiring centers on technical skills and experience. Building proficiency in SQL, ETL tools, and a cloud data platform is the most direct path. Earning a vendor credential from Snowflake, Google, or Microsoft strengthens a California application noticeably.
Which companies hire data operations analysts in California?
Employers hiring data operations analysts in California right now include Meta, Kahana & Feld LLP, and Hive, based on current listings on Migrate Mate as of August 2026. California's dense concentration of technology firms, health systems, and financial services companies means sustained demand across multiple industries beyond a single sector.
Which California cities have the most data operations analyst jobs?
San Francisco, San Diego, and Dublin have the most data operations analyst openings in California. The Bay Area leads because of its concentration of technology headquarters and enterprise software companies, while Los Angeles draws demand from media, fintech, and healthcare, and San Diego's biotech and defense sectors generate consistent openings for analysts who manage research and operational data.
Are there remote data operations analyst jobs in California?
Yes, and more than most fields, since data operations work is predominantly desk-based and conducted through cloud platforms that require no physical presence. About 45% of data operations analyst openings tied to California are remote or hybrid as of August 2026, reflecting the role's strong fit for distributed teams. Pipeline monitoring, reporting, and data quality tasks are the functions employers most consistently allow to be performed remotely.
How can I get hired as a data operations analyst in California with little or no experience?
The most realistic entry path is a data or business analyst associate role at a large California employer. Companies like Kaiser Permanente, Salesforce, and major California banks run rotational or associate analyst programs that accept recent graduates. Moving laterally from a data entry, reporting coordinator, or junior BI role builds the credentials hiring managers look for. A portfolio of SQL projects or a verified cloud data platform credential from Snowflake or Google gives a California candidate a concrete edge over applicants without work history.
Where can I find and apply to data operations analyst jobs in California?
You can find and apply to data operations analyst jobs in California on Migrate Mate, which lists current California openings across industries and experience levels. Search the listings for roles that match your background and apply directly to the ones that fit.
See All 23 Data Operations Analyst Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Data Operations Analyst Jobs