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Operational Data Analyst Jobs in California (NOW HIRING)

Autoroboto

Data Analysts

Mountain View, CA · On-site

The Data Analyst will collect, validate, and analyze operational data; apply quantitative and statistical methods to define operational problems and evaluate alternatives; develop and test analytical ...

Autoroboto

Data Analysts

Mountain View, CA · On-site

The Data Analyst will collect, validate, and analyze operational data; apply quantitative and statistical methods to define operational problems and evaluate alternatives; develop and test analytical ...

Hajoca Corporation

Operations Data Analyst

San Jose, CA · On-site

$72K/yr

Pay for the Operations Data Analyst is $72,800.00 per year at this location. Are you a data enthusiast? Do you enjoy interpreting complex data sets and extracting valuable insights? Are you a team ...

hajoca

Operations Data Analyst

San Jose, CA

The Operations Data Analyst is responsible for extracting valuable insights from datasets, driving data-driven decision-making, and contributing to the overall growth and success of the business.

hajoca

Operations Data Analyst

San Jose, CA

The Operations Data Analyst is responsible for extracting valuable insights from datasets, driving data-driven decision-making, and contributing to the overall growth and success of the business.

AutoRoboto

Data Analysts

Mountain View, CA · On-site

AutoRoboto is seeking a Data Analyst to join our engineering team in Mountain View, CA. This role will work with complex datasets to help evaluate operational systems and make data-driven decisions ...

InterDent

Sr. Data Analyst

El Segundo, CA · On-site

$110K - $140K/yr

Financial & Operational Reporting:  Develop, maintain, and enhance marketing, mid funnel and ... Data Analysis & Insights:  Analyze lead generation, revenue, expenses, patient volume, and ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

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

FieldAI

Field Data Analyst

Irvine, CA · On-site

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 ...

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All JobsOperational Data Analyst JobsOperational Data Analyst Jobs in California

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 Jun 14, 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.

Is 40 too late for data science?

For an Operational Data Analyst, age is not a barrier to entering data science. Many professionals transition into data roles later in their careers by acquiring relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Experience, continuous learning, and practical skills are more important than age in this field.

What is an operations data analyst?

An operations data analyst is a professional who collects, analyzes, and interprets data related to business operations to improve efficiency and decision-making. They often use tools like Excel, SQL, or data visualization software and work closely with management to identify trends and optimize processes.

What jobs pay 200,000 a year in the USA?

Operational Data Analysts typically do not earn $200,000 annually; however, senior roles such as Data Science Managers, Data Architects, or Analytics Directors can reach or exceed this salary level, especially with extensive experience, advanced skills in SQL, Python, or machine learning, and working in large organizations or consulting firms.

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.

Is AI replacing data analysts?

Operational Data Analysts use AI tools to automate routine data processing and enhance insights, but AI is not replacing the need for human analysts. Instead, AI complements their skills by handling repetitive tasks, allowing analysts to focus on complex analysis, interpretation, and strategic decision-making. Proficiency in data management, statistical tools, and AI applications remains essential for the role.

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:
Operational Data Analyst jobs near you
Infographic showing various Operational Data Analyst job openings in California as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Data Analysts

Autoroboto

Mountain View, CA • On-site

Full-time

Posted 12 days ago

Job description

AutoRoboto is seeking a Data Analyst to join our engineering team in Mountain View, CA. This role will work with complex product, operational, automation, robotics, and testing-related datasets to help the company evaluate operational systems and make data-driven decisions. The Data Analyst will collect, validate, and analyze operational data; apply quantitative and statistical methods to define operational problems and evaluate alternatives; develop and test analytical models and decision-support workflows; create reports and dashboards; and collaborate with engineering to support analytical tools, automation workflows, and operational improvements.

The ideal candidate has a strong quantitative background, programming experience, and the ability to translate complex operational data into clear, actionable insights for technical and business stakeholders.

Responsibilities
  • Collect, query, clean, validate, and structure raw data from internal systems, product and operational data sources, authorized testing workflows, automation tools, and robotics-based data collection processes for downstream analysis, reporting, and modeling.
  • Assess data quality, completeness, consistency, and accuracy; identify anomalies, missing values, and data integrity issues; and recommend practical approaches for improving the reliability of operational data collection.
  • Perform exploratory, statistical, and operations analysis to identify trends, constraints, correlations, patterns, outliers, and drivers of key operational, product, or business metrics.
  • Develop, test, and refine quantitative models, analytical algorithms, and decision-support methods using Python, SQL, and statistical/data modeling techniques.
  • Evaluate model performance and alternative operational approaches using appropriate quantitative metrics; document assumptions, limitations, and expected operational impact.
  • Collaborate with the engineering team to support analytical prototypes, define data requirements, validate feature logic, test model outputs, and assist with production-ready analytical, automation, and data collection workflows.
  • Build reports, dashboards, charts, and visualizations to communicate findings clearly to engineering, product, operations, and business teams.
  • Translate analytical findings into actionable recommendations for operational, product, and business improvements, including improvements to data collection, automation, testing, and robotics workflows.
  • Prepare written summaries and presentations explaining methodology, findings, risks, operational tradeoffs, and recommended next steps.
Qualifications
  • Bachelor's degree, or foreign equivalent, in Operations Research, Statistics, Mathematics, Computer Science, Data Science, Engineering, Business Analytics, or a closely related quantitative field.
  • 2 years of experience in quantitative analytics, operations analysis, data analysis, data modeling, business analytics, product analytics, or a related analytical role. Additional related experience is preferred but not required.
  • Experience using Python and SQL to query, clean, transform, analyze, and model data.
  • Knowledge of statistical analysis, operations analysis, data modeling, data quality assessment, exploratory data analysis, and quantitative problem-solving methods.
  • Experience creating reports, dashboards, charts, or visualizations using Tableau or similar business intelligence / visualization tools.
  • Ability to communicate technical findings, operational tradeoffs, and recommendations clearly to both technical and non-technical stakeholders.
  • Strong attention to detail, analytical judgment, and problem-solving ability.
Preferred Qualifications
  • Experience or familiarity with big data or distributed data tools such as Spark, Hadoop, Cassandra, or similar technologies.
  • Experience working with engineering teams on data pipelines, analytical prototypes, model validation, automation workflows, robotics workflows, or production data workflows.
  • Experience analyzing product, operational, SaaS, automation, robotics, logistics, authorized penetration-testing, or security-assessment datasets.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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About AutoRoboto

Sourced by ZipRecruiter

Industry

Computer and electronic product manufacturing

Company size

11 - 50 Employees

Headquarters location

San Francisco, CA, US

Year founded

2015

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