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Operational Data Analyst Jobs in California (NOW HIRING)

Operations Data Analyst

Oakland, CA · On-site

$77 - $82/hr

Analyze business data to identify trends, patterns, risks, and opportunities for operational and strategic improvements. * Demonstrate broad expertise in data processing and analysis, applying ...

Senior Data Analyst

Los Angeles, CA · On-site

$140K - $180K/yr

As a Senior Data Analyst on our Enterprise Systems team, you will turn K2 Space's operational data into the insights that drive smarter decisions across satellite design, manufacturing, and mission ...

... network and operational data for member access, vendor publication, and internal operations ... QES analysis, and ad hoc requests. Validate data, troubleshoot quality issues, support ...

The Field Data Analyst will support data validation, analysis, and reporting for deployed robotic systems, ensuring operational data is accurate and actionable. Responsibilities : • Validate ...

The Field Data Analyst will support data validation, analysis, and reporting for deployed robotic systems, ensuring that operational data is accurate and actionable. Responsibilities : • Validate ...

As a Senior Data Analyst on our Enterprise Systems team, you will turn K2 Space's operational data into the insights that drive smarter decisions across satellite design, manufacturing, and mission ...

Senior Data Analyst

Los Angeles, CA · On-site

$140K - $180K/yr

As a Senior Data Analyst on our Enterprise Systems team, you will turn K2 Space's operational data into the insights that drive smarter decisions across satellite design, manufacturing, and mission ...

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Showing results 1-20

Operational Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do operational data analyst jobs pay per year?

As of Jul 6, 2026, the average yearly pay for operational data 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 the difference between Operational Data Analyst vs Data Analyst?

AspectOperational Data AnalystData Analyst
Required CredentialsBachelor's in Data Science, Business, or related field; proficiency in SQL, Excel, and data visualization toolsBachelor's in Statistics, Mathematics, or related field; similar technical skills
Work EnvironmentFocus on operational data, process improvement, and real-time analytics within organizationsBroader data analysis across various projects, including market research and reporting
Employer & Industry UsageUsed in industries like manufacturing, logistics, and retail for operational insightsCommon across finance, marketing, healthcare, and other sectors for data-driven decision-making

Operational Data Analysts specialize in analyzing operational data to improve processes and efficiency, often working closely with operational teams. Data Analysts have a broader scope, working on various data projects across different departments. While both roles require similar skills and education, their focus areas and typical industries differ, making each role unique in its contribution to organizational success.

What is an Operational Data Analyst?

An Operational Data Analyst is a professional who collects, analyzes, and interprets data related to an organization's daily operations. Their main goal is to identify trends, inefficiencies, and opportunities for process improvement by working closely with operational teams. They use various data analysis tools and methods to create reports, dashboards, and actionable insights that support decision-making. Operational Data Analysts often collaborate with different departments to ensure data accuracy and optimize business performance.

What are some common challenges faced by Operational Data Analysts when working with cross-functional teams?

Operational Data Analysts often work closely with departments such as operations, finance, and IT, each of which may have different data priorities and technical backgrounds. A common challenge is translating complex data findings into actionable insights for non-technical stakeholders while ensuring data integrity across systems. Effective communication and a collaborative approach are essential to align goals, clarify requirements, and ensure successful project outcomes.

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

To thrive as an Operational Data Analyst, you need strong analytical abilities, statistical knowledge, and experience with data management, often supported by a degree in data science, statistics, or a related field. Proficiency in data analysis tools such as SQL, Excel, Python, and business intelligence platforms like Tableau or Power BI is typically required. Excellent problem-solving skills, attention to detail, and effective communication help analysts interpret complex information and share actionable insights with stakeholders. These skills are crucial for optimizing business processes, enabling data-driven decisions, and delivering measurable operational improvements.
What are popular job titles related to Operational Data Analyst jobs in California? For Operational Data Analyst jobs in California, the most frequently searched job titles are:
What job categories do people searching Operational Data Analyst jobs in California look for? The top searched job categories for Operational Data Analyst jobs in California are:
Infographic showing various Operational Data Analyst job openings in California as of June 2026, with employment types broken down into 73% Full Time, and 27% Contract. Highlights an 100% In-person job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Internship

Posted 28 days ago


Job description

Data Analyst Intern

Data Analyst Intern

Men of All Trades Tool Line is looking for a motivated Data Analyst Intern to help collect, organize, analyze, and report business data. This role is ideal for students or recent graduates who want to gain hands-on experience in data analytics and business intelligence.

Responsibilities:

  • Collect, clean, and organize data from various sources.

  • Analyze sales, inventory, customer, and operational data.

  • Create reports, dashboards, and data visualizations.

  • Identify trends, patterns, and opportunities for business improvement.

  • Assist with forecasting and performance tracking.

  • Present findings and recommendations to team members.

Requirements:

  • Currently pursuing or recently completed a degree in Data Analytics, Statistics, Mathematics, Computer Science, Business, or a related field.

  • Strong skills in Excel or Google Sheets.

  • Basic knowledge of SQL and data visualization tools such as Power BI or Tableau.

  • Good analytical, problem-solving, and communication skills.

  • Attention to detail and ability to work independently.

Preferred:

  • Experience with Python, R, or similar analytical tools.

  • Knowledge of business reporting and data analysis projects.