ZipRecruiter

Log In

1

Data Operations Analyst Jobs in California (NOW HIRING)

Abaka AI

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

The Data Operations Engineer will manage the internal dataset library and collaborate with various ... and basic analysis. • Experience working with real-world datasets, including handling data ...

GSMS

Sales Operations Analyst

Camarillo, CA · On-site

$32.69 - $36.06/hr

Sales Operations Analyst Summary The Sales Operations Analyst will be responsible for combining ... Verify data from multiple sources; compile, review and analyze data * Lead amp; monitor sales data ...

GSMS

Sales Operations Analyst

Camarillo, CA · On-site

$32.69 - $36.06/hr

Sales Operations Analyst Summary The Sales Operations Analyst will be responsible for combining ... Verify data from multiple sources; compile, review and analyze data * Lead & monitor sales data ...

FocusKPI

Marketing Operations Analyst

Northridge, CA

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... This includes driving data governance and consistency across systems, enabling effective audience ...

Vast

Manufacturing Operations Analyst

Long Beach, CA · On-site

$85K - $120K/yr

This is a unique and high-impact role at the intersection of data analysis and manufacturing operations. You will be strategically embedded within Haven-1 Manufacturing and Test, turning complex ...

FocusKPI

Marketing Operations Analyst

Pomona, CA

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... This includes driving data governance and consistency across systems, enabling effective audience ...

FocusKPI

Marketing Operations Analyst

Los Angeles, CA · On-site

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... This includes driving data governance and consistency across systems, enabling effective audience ...

FocusKPI

Marketing Operations Analyst

Stockton, CA

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... This includes driving data governance and consistency across systems, enabling effective audience ...

FocusKPI

Marketing Operations Analyst

San Diego, CA

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... This includes driving data governance and consistency across systems, enabling effective audience ...

FocusKPI

Marketing Operations Analyst

Chico, CA

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... This includes driving data governance and consistency across systems, enabling effective audience ...

FocusKPI

Marketing Operations Analyst

Fresno, CA · On-site

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... This includes driving data governance and consistency across systems, enabling effective audience ...

FocusKPI

Marketing Operations Analyst

Merced, CA

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... This includes driving data governance and consistency across systems, enabling effective audience ...

next page

Showing results 1-20

All JobsData Operations Analyst JobsData Operations Analyst Jobs in California

Data Operations Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do data operations analyst jobs pay per year?

As of Jun 14, 2026, the average yearly pay for data operations analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What are Data Operations Analysts?

Data Operations Analysts are professionals who manage, optimize, and ensure the accuracy of data workflows within an organization. They are responsible for collecting, processing, and analyzing data to support business operations and decision-making. Their duties often include maintaining databases, troubleshooting data issues, and collaborating with other teams to improve data quality and efficiency. By ensuring data integrity and availability, Data Operations Analysts help organizations make data-driven decisions and streamline their operations.

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

To thrive as a Data Operations Analyst, you need strong analytical skills, proficiency in data management, and a relevant degree such as in computer science, statistics, or a related field. Familiarity with SQL, data visualization tools (such as Tableau or Power BI), and data pipeline systems is typically required, along with certifications like Microsoft Certified: Data Analyst Associate being advantageous. Attention to detail, problem-solving ability, and effective communication are essential soft skills for collaborating with cross-functional teams and ensuring data integrity. These skills and qualities are vital for maintaining accurate data flows, supporting business decisions, and driving operational efficiency.

How does a Data Operations Analyst typically collaborate with other departments to improve data processes?

Data Operations Analysts regularly work with cross-functional teams, including IT, business intelligence, and department leads, to streamline data collection, integration, and reporting. They often serve as the bridge between technical and non-technical teams, translating business needs into actionable data solutions. Effective collaboration may involve participating in meetings to understand project requirements, troubleshooting data issues with engineering teams, and training staff on new data tools or procedures. Strong communication skills are essential, as the role requires aligning diverse stakeholders toward common data integrity goals.

What is the difference between Data Operations Analyst vs Data Analyst?

AspectData Operations AnalystData Analyst
Required CredentialsBachelor's in Data Science, IT, or related field; certifications like Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Certified Data Analyst
Work EnvironmentData teams, IT departments, business operationsBusiness units, marketing, finance, or research teams
Employer & Industry UsageTech companies, finance, healthcare, retailMarketing agencies, consulting firms, finance, healthcare

While both roles involve working with data, Data Operations Analysts focus on managing data workflows, ensuring data quality, and supporting data infrastructure. Data Analysts primarily analyze data to generate insights, reports, and support decision-making. The roles often overlap but differ in their core responsibilities and focus areas.

What are popular job titles related to Data Operations Analyst jobs in California? For Data Operations Analyst jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Operations Analyst jobs in California look for? The top searched job categories for Data Operations Analyst jobs in California are:
What cities in California are hiring for Data Operations Analyst jobs? Cities in California with the most Data Operations Analyst job openings:
Data Operations Analyst jobs near you
Infographic showing various Data Operations Analyst job openings in California as of June 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.
Data Operations Manager, Human Data

Data Operations Manager, Human Data

Anthropic

San Francisco, CA • On-site

Other

Posted 11 days ago

Job description

About the Role

As Data Operations Manager, you'll build and scale data operations across research teams working on frontier AI capabilities. You'll partner with researchers to design and execute data strategies, manage vendor relationships, and own the entire data pipeline from requirements to production. This role requires operational excellence combined with technical depth to understand what makes high-quality training data, but your focus will be on strategy and execution.

About the Impact

The data operations you build will directly determine how well our models perform on critical capabilities-tool use accuracy, prompt injection robustness, long-horizon reasoning, and safety alignment. You'll work with world-class researchers advancing the frontier while building the operational infrastructure to scale these efforts.

We're looking for someone who gets excited about the challenge of scaling quality across diverse research areas-someone who can understand nuanced technical requirements, build the right partnerships, and execute flawlessly. If you thrive at the intersection of operational excellence and cutting-edge AI research, we'd love to hear from you.

Responsibilities:

  • Own and execute data strategy for research teams advancing frontier AI capabilities across RLHF, safety, tool use, and agentic workflows

  • Drive strategic vendor partnerships and build scalable frameworks for technical data collection at scale

  • Design and implement operational systems that translate research requirements into high-quality data pipelines

  • Build evaluation frameworks and quality standards that ensure data meets the bar for training state-of-the-art AI systems

  • Lead cross-functional initiatives to optimize research velocity while maintaining rigorous quality standards

  • Proactively identify risks, bottlenecks, and opportunities to improve efficiency and effectiveness across data operations

  • Partner with senior research leaders to align data operations with model development roadmaps and strategic priorities

You may be a good fit if you:

  • Have 3+ years in operations, consulting, product management, or program management roles

  • Have exceptional project management skills with ability to handle multiple complex projects simultaneously

  • Have strong communication skills and can engage effectively with technical and non-technical stakeholders

  • Are familiar with how LLMs work or have strong interest in understanding AI training methodologies

  • Are highly organized and can navigate ambiguity effectively

  • Have experience with data analysis tools (SQL, Python, Tableau, spreadsheets, or similar)

  • Thrive in fast-paced research environments with shifting priorities

  • Are passionate about AI safety and understand the critical importance of high-quality data

Strong candidates may also have:

  • Experience with data collection, labeling, or annotation operations for AI/ML systems

  • Knowledge of RLHF, constitutional AI, or human-in-the-loop workflows

  • Background working with research teams at AI companies or research-oriented organizations

  • Experience managing vendor relationships or external contractors

  • Consulting background with experience translating complex requirements into deliverables

  • Track record of implementing process improvements or quality control systems at scale

Apply