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Operational Data Analyst Jobs in California (NOW HIRING)

FieldAI

Field Data Analyst

Irvine, CA · On-site

$75 - $115/hr

Analyze operational logs and mission data to identify trends or anomalies. * Investigate system behavior using telemetry and mission outputs. * Support root‑cause analysis by extracting insights ...

CYNET SYSTEMS

Sr. Operations Data Analyst

Oakland, CA · On-site

$58 - $63/hr

Manages complex data analysis, dashboard, automation, and Power Apps development projects with ... Apps that improve operational efficiency, user experience, and compliance tracking. * Builds ...

Chapa-De

Data Analyst II On-Site

Auburn, CA · On-site

$37.95 - $44.60/hr

As a Data Analyst II, you'll work alongside clinical, operational, and quality leaders to transform data into meaningful insights that improve healthcare outcomes across our organization. Hourly Pay ...

CYNET SYSTEMS

Sr. Operations Data Analyst

Oakland, CA · On-site

$58.47 - $63.47/hr

Manages complex data analysis, dashboard, automation, and Power Apps development projects with ... Apps that improve operational efficiency, user experience, and compliance tracking. Builds ...

Harvey

Support Operations Data Analyst

San Francisco, CA · On-site

$112K - $168K/yr

Quantify the operational cost of product bugs, feature gaps, and onboarding failures * Contribute ... data transformation tooling * Experience building or contributing to QA analytics programs

EMERGE SOLUTIONS GROUP LLC

Data Analyst

Fairfield, CA · On-site

$85K - $90K/yr

The Data Analyst will analyze complex healthcare, operational, financial, and performance data; develop dashboards and executive-level reports; conduct business case and return-on-investment analyses ...

EMERGE SOLUTIONS GROUP LLC

Data Analyst

Fairfield, CA · On-site

$85K - $90K/yr

The Data Analyst will analyze complex healthcare, operational, financial, and performance data; develop dashboards and executive-level reports; conduct business case and return-on-investment analyses ...

ViziRecruiter,LLC.

Data Analyst

Santa Clara, CA · On-site

$80 - $110/hr

Introduction Druva enables cyber, data and operational resilience for every organization with the ... Overview The Business Analytics team is looking for a Business Analyst to analyze our core metrics ...

West Coast Trial Lawyers APLC

Data Analyst

Los Angeles, CA · On-site

$60K - $70K/yr

Analyze business performance and operational metrics * Support forecasting, planning, and ad hoc ... Work closely with the AI & Data team on data projects, dashboard development, and implementation of ...

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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 Aug 22, 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 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 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 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 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 an operational data analyst entry-level?

An operational data analyst role can be entry-level or require some experience, depending on the company. Entry-level positions typically require basic skills in data analysis tools like Excel or SQL and may offer on-the-job training. More advanced roles may require prior experience or certifications in data analysis or related fields.

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 August 2026, with employment types broken down into 92% Full Time, 4% Temporary, and 4% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Field Data Analyst

FieldAI

Irvine, CA • On-site

$75 - $115/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Field Data Analyst

Location: Irvine, CA

Job Type: Full time

Prefer Local Candidates

Who are We?

Field AI is transforming how robots interact with the real world. We are building risk‑aware, dependable, and field‑ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data‑driven approaches or pure transformer‑based architectures, and are charting a new course, with already‑globally‑deployed solutions delivering real-world results and rapidly improving models through real‑field applications.

Learn more at https://fieldai.com.

About the role:

We are looking for a Field Data Analyst to support data validation, analysis, and reporting for deployed robotic systems. This role sits within the Service organization and works closely with field operations, engineering, and customer teams to ensure that operational data from deployed robots is accurate, interpretable, and actionable.

The analyst will support both Data Delivery QA and Field Performance Audits, helping validate mission datasets, investigate operational trends, and generate structured reports for internal teams and customers.

Key Responsibilities Data Validation & Quality Assurance
  • Validate mission datasets generated by deployed robots.
  • Perform completeness, schema, and integrity checks on field data.
  • Identify corrupted, incomplete, or anomalous datasets.
  • Support QA processes before datasets are used for analysis or reporting.
Field Data Analysis
  • Analyze operational logs and mission data to identify trends or anomalies.
  • Investigate system behavior using telemetry and mission outputs.
  • Support root‑cause analysis by extracting insights from field datasets.
Client Reporting & Insights
  • Generate clear performance reports and summaries for customers.
  • Translate technical data into understandable insights.
  • Support periodic reporting on autonomy performance and system behavior.
Operational Support
  • Work with Fleet Operations, Rapid Support, and Solution Delivery to investigate field issues.
  • Assist in identifying recurring operational problems from data.
  • Provide validated datasets to engineering teams for debugging.
Process Improvement
  • Improve internal data validation workflows.
  • Support development of automated checks and dashboards.
  • Maintain documentation of datasets, reporting templates, and QA procedures.
Required Qualifications
  • Bachelor’s degree in Engineering, Data Science, Computer Science, Statistics, or related field
  • Strong analytical skills with ability to work with messy operational datasets
  • Proficiency in Python, SQL, or similar data analysis tools
  • Experience with data visualization tools (e.g., Tableau, Power BI, Plotly, or similar)
  • Strong problem‑solving ability and attention to detail
Preferred Qualifications
  • Experience working with robotics, autonomy systems, IoT, or sensor data
  • Familiarity with time‑series data, logs, or telemetry
  • Experience with data pipelines or ETL workflows
  • Experience generating reports for external stakeholders

$75,000 - $115,005 a year

Compensation

The salary range for this role is dependent upon experience. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time.

Field AI Onsite Work Philosophy

At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Mission Viejo, CA office. In‑person engagement is essential to our success, and we offer flexible working hours to support focus and work‑life balance.

We are dedicated to fostering a diverse and inclusive workplace and encouraging applicants from all backgrounds to apply.

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