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Data Operations Analyst Jobs in California (NOW HIRING)

Sieve

Data Operations Lead

San Francisco, CA · On-site

The Data Operations Lead will manage the execution and scaling of the company's data operations ... analysis • Strong organizational skills and attention to detail; able to manage multiple ...

Helix Water District

Operations Analyst

La Mesa, CA

$111K - $142K/yr

That is why we are seeking an experienced analytical leader with the skills to turn complex data into decisions, and decisions into measurable results. The Operations Analyst is a supervisory role ...

Helix Water District

Operations Analyst

El Cajon, CA · On-site

$111K - $142K/yr

That is why we are seeking an experienced analytical leader with the skills to turn complex data into decisions, and decisions into measurable results. The Operations Analyst is a supervisory role ...

Pathstone

Associate, Data Operations

San Francisco, CA · On-site

The Data Operations Associate is a key member of Pathstone's centralized Data Operations team and ... Support data systems implementation and analytics work (e.g. Monte Carlo simulations, Power BI) in ...

Divergent

Operations Analyst

Los Angeles, CA

This is an applied, hands-on role that combines data architecture, analysis, and system design to make our operations measurable, predictable, and optimizable. The Role * Partner with leadership to ...

Divergent

Operations Analyst

Torrance, CA

This is an applied, hands-on role that combines data architecture, analysis, and system design to make our operations measurable, predictable, and optimizable. The Role * Partner with leadership to ...

Divergent

Operations Analyst

Torrance, CA · On-site

This is an applied, hands-on role that combines data architecture, analysis, and system design to make our operations measurable, predictable, and optimizable. The Role * Partner with leadership to ...

Collectorsuniverse

Operations Analyst

Santa Ana, CA · On-site

$62K - $90K/yr

The ideal candidate is deeply data fluent, translates complex business questions into clear ... You'll report to the Senior Manager, Operations Analytics and work onsite 3+ days a week from our ...

Divergent

Operations Analyst

Torrance, CA · On-site

This is an applied, hands-on role that combines data architecture, analysis, and system design to make our operations measurable, predictable, and optimizable. The Role * Partner with leadership to ...

Collabera

Operations Analyst

San Jose, CA · On-site

Business/Data Analysis & Reporting: o Be the single source of truth for ELA licensing operations in support of initial market trials for the initiative o Build and generate metrics and operational ...

Abaka AI

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

They are seeking a Data Operations Engineer to own and operate the internal dataset library ... and basic analysis. • Experience working with real-world datasets, including handling data ...

HappyRobot Inc

Data Operations Lead

San Francisco, CA · On-site

$160K - $240K/yr

Manage End-to-End Operations: Oversee the full lifecycle of data acquisition, ensuring datasets are ... An Analytical Problem Solver: You tackle complex challenges with a first-principles mindset ...

Abaka AI

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

The Data Operations Engineer will own and operate the internal dataset library, ensuring fast and ... and basic analysis. • Experience working with real-world datasets, including handling data ...

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Showing results 21-40

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 Aug 6, 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 is a data operations analyst?

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 August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Data Operations Lead

Sieve

San Francisco, CA • On-site

Full-time

Re-posted 20 days ago

Job description

Job Summary:
Sieve is an AI research lab focused on video data, aiming to solve the bottleneck in the growth of applications powered by high-quality training data. The Data Operations Lead will manage the execution and scaling of the company's data operations platform, overseeing workforce management, QA processes, and driving growth initiatives.
Responsibilities:
• Operate and scale Sieve's internal data ops platform, including workforce management, task assignment, and QA workflows
• Drive platform growth: run acquisition campaigns, test new sourcing channels, and grow the user base through creative and scalable strategies
• Source, onboard, and manage a distributed human workforce for data annotation, curation, and quality review
• Build and improve QA processes to ensure data output meets the standards required by frontier AI labs
• Own product ops for the data platform. Work with engineering to ship tooling improvements, track operational metrics, and identify gaps
• Create documentation, SOPs, and training materials for operational workflows
Qualifications:
Required:
• Mixed technical and non-technical skillset, comfortable with data tooling, light scripting, and spreadsheet-level analysis
• Strong organizational skills and attention to detail; able to manage multiple concurrent work streams
• Growth mindset: experience running or contributing to user acquisition, sourcing campaigns, or platform growth efforts
• Bachelor's degree in CS, STEM, or equivalent practical experience
• In-person at our SF HQ
Preferred:
• Experience managing human-in-the-loop data operations or annotation pipelines
• At least 1 year of engineering experience or strong technical fluency
• Experience as an early hire at a startup or spearheading ops at an AI lab
• Familiarity with data quality frameworks or ML data pipelines
Company:
Sieve supplies video data to frontier AI labs. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.

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