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Data Operations Analyst Jobs in California (NOW HIRING)

Data Operations Engineer

Mountain View, CA ยท On-site

$136K - $163K/yr

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

... data from various processes and analyzing it - complete as needed- ensuring information is ... operations. Pay rate $22-$24 Experience: 1 to 2 years warehouse experience. Eclipse software ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Showing results 41-60

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 cities in California are hiring for Data Operations Analyst jobs? Cities in California with the most Data Operations Analyst job openings:
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 Engineer

Abaka AI

Mountain View, CA โ€ข On-site

$136K - $163K/yr

Full-time

Re-posted 18 days ago


Job description

Job Summary:
Abaka AI is dedicated to being the world's most trusted data partner for AI companies, supporting over 1,000 industry leaders with scalable data solutions. The Data Operations Engineer will manage the internal dataset library and collaborate with various teams to ensure efficient access to data and maintain dataset quality.
Responsibilities:
โ€ข Develop and maintain a comprehensive understanding of Abaka AIโ€™s dataset library, including data structure, quality, and applicable use cases across modalities (text, image, video, audio, 3D).
โ€ข Serve as the internal point of contact for dataset-related inquiries, providing clear and timely responses to questions from engineering, product, and business teams.
โ€ข Translate ambiguous or high-level requests into concrete dataset solutions, identifying appropriate data sources or gaps.
โ€ข Inspect and validate datasets for quality, completeness, and consistency using SQL, Python, or other tools as needed.
โ€ข Coordinate with global data teams, including teams in China, to resolve data issues, clarify requirements, and ensure timely delivery without unnecessary escalation.
โ€ข Maintain and improve internal documentation, organization, and accessibility of datasets.
โ€ข Identify inefficiencies in current workflows and propose improvements to systems, tooling, and processes that support dataset management and usage.
โ€ข Support cross-functional initiatives by providing dataset insights, technical context, and operational guidance.
Qualifications:
Required:
โ€ข Bachelorโ€™s degree in Computer Science, Data Engineering, or a related field, or equivalent practical experience.
โ€ข 1โ€“4 years of experience in data operations, data engineering, or a related role involving direct interaction with datasets.
โ€ข Professional proficiency in Mandarin Chinese and English is required, as this role involves frequent collaboration with China-based vendors and external partners.
โ€ข Strong problem-solving skills and ability to operate effectively in ambiguous, fast-paced environments.
โ€ข Proficiency in SQL and/or Python for data inspection, validation, and basic analysis.
โ€ข Experience working with real-world datasets, including handling data quality issues, inconsistencies, and edge cases.
โ€ข Strong communication skills, with the ability to work across technical and non-technical teams.
โ€ข High level of ownership and accountability, with the ability to manage multiple requests and priorities simultaneously.
Preferred:
โ€ข Experience with multimodal datasets (text, image, video, audio, or 3D).
โ€ข Familiarity with data annotation, labeling workflows, or dataset preparation for machine learning.
โ€ข Experience working with international teams, particularly in cross-border environments.
โ€ข Exposure to AI/ML workflows, including training, fine-tuning, or evaluation datasets.
Company:
Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA, with a team of 51-200 employees. The company is currently Growth Stage.