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Data Operations Analyst Jobs in California (NOW HIRING)

Data Operations Analyst

San Francisco, CA ยท On-site

$60K - $85K/yr

Data Operations Analyst We are looking for an eager and motivated Data Operations Analyst to join our Data Operations team. At Hive, our DataOps team is responsible for supporting the development of ...

Data Operations Analyst We are looking for an eager and motivated Data Operations Analyst to join our Data Operations team. At Hive, our DataOps team is responsible for supporting the development of ...

Leads production support activities, root cause analysis, incident management, escalation management and problem resolution for data-related issues. * Oversees operational readiness and transition-to ...

Leads production support activities, root cause analysis, incident management, escalation management and problem resolution for data-related issues. * Oversees operational readiness and transition-to ...

Leads production support activities, root cause analysis, incident management, escalation management and problem resolution for data-related issues. * Oversees operational readiness and transition-to ...

Operations Analyst

La Mesa, CA ยท On-site

$107K - $137K/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 ...

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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 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:
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 Analyst

Futran Tech Solutions Pvt. Ltd.

Santa Clara, CA โ€ข On-site

Full-time

Posted 14 days ago


Job description

Job Title: Data Operations Analyst
Location: Santa Clara, CA (Onsite)
Job Description:
Manufacturing / Factory Experience
  • Roles in high-tech manufacturing, electronics, or semiconductor companies.Direct experience working with Contract Manufacturers (CMs) or factory partners. Resumes mentioning factory test data, assembly data, traceability data, or MES (Manufacturing Execution Systems).

Strong SQL (Mandatory)
  • Must have "SQL" explicitly listed as a primary skill. Experience described as "querying and analyzing large datasets," "data investigation," or "ad-hoc analysis. "The ability to write complex queries beyond simple SELECT statements.

Analytical Mindset for Data Quality
  • Experience in roles like Data Quality Analyst or similar. Descriptions of work involving data validation, data completeness checks, root-cause analysis, and continuous data improvement.A focus on improving data structure and content, not just creating reports.

Communication & Collaboration
  • Experience acting as a liaison between business/factory teams and technical (data engineering) teams. History of providing feedback to external partners or suppliers to resolve data issues.
  • Scripting for Analysis (Python)
  • Experience using Python with Pandas for data manipulation and analysis is a significant plus but not required. Familiarity with querying modern data platforms like Databricks, Snowflake, or Redshift.