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Operational Data Analyst Jobs in California (NOW HIRING)

Operations Data Analyst

Oakland, CA ยท 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 ...

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 ...

In the position of Manufacturing Data Analyst, you will support manufacturing operations by collecting, cleaning, validating, and analyzing production and business data to help improve efficiency ...

... 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 : โ€ข 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 : โ€ข Validate ...

ERP Data Analyst

Orange, CA ยท On-site

$20 - $22/hr

ERP Data Analyst Fullerton, CA | Monday-Friday | Full-Time | Temp-to-Hire Turn Data Into Better ... Monitor labor hours, production output, and operational performance metrics. * Research and resolve ...

Business Operations - Owns analytics and tooling for special projects and cross-functional programs ... Build and maintain scalable data models to support reporting, analytics, and operational decision ...

Business Operations -- Owns analytics and tooling for special projects and cross-functional ... Build and maintain scalable data models to support reporting, analytics, and operational decision ...

Operations Data Analyst ๐Ÿ“ Hybrid Opportunity | Local Candidates Preferred ๐Ÿ’ฒ Up to $53/hr Are ... improve operational efficiency What We're Looking For โœ… 3+ years of ServiceNow Administration ...

New

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 ยท 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 ...

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 ...

New

Field Data Analyst

Irvine, CA ยท On-site

$75K - $115K/yr

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 ...

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 ...

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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 27, 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 July 2026, with employment types broken down into 90% Full Time, 3% Temporary, and 7% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.
Operations Data Analyst

Operations Data Analyst

CYNET SYSTEMS

Oakland, CA โ€ข On-site

$77 - $82/hr

Contractor

Posted 24 days ago


Job description

Job Overview:

Pay Range:ย $77.14hr - $82.14hr

Requirement/Must Have:

  • Bachelorโ€™s degree in Data Analytics, Statistics, Computer Science, Business, Engineering, or a related field (or equivalent experience).
  • Demonstrated experience building and maintaining dashboards in Power BI.
  • Strong SQL skills and experience working with structured datasets.
  • Excellent written and verbal communication skills, with a proven ability to explain complex data clearly.
  • Strong ability to interpret data, identify trends, and generate actionable insights.
  • Ability to clearly communicate complex data findings to both technical and non-technical stakeholders.
  • Experience working in cross-functional teams and translating business needs into data-driven solutions.

Responsibilities:

  • Analyze business data to identify trends, patterns, risks, and opportunities for operational and strategic improvements.
  • Demonstrate broad expertise in data processing and analysis, applying analytical techniques to a wide range of business questions.
  • Respond to ad hoc and recurring data requests with accuracy, clarity, and timeliness.
  • Collect, clean, validate, and integrate data from multiple sources to ensure accuracy and consistency.
  • Extract and analyze data from SAP to support planning, forecasting, and decision-making.
  • Manage data extraction and transfer from databases to support operational analysis across teams.
  • Create automated data routines and processes to ensure efficient, repeatable reporting and data delivery.
  • Develop and maintain dashboards, reports, and visualizations using Power BI to clearly communicate insights and performance metrics.
  • Utilize Foundry for advanced analytics, data modeling, and analytical workflows.
  • Apply GIS tools for spatial data analysis and mapping to support location-based decision-making.
  • Leverage Copperleaf for asset investment planning, lifecycle cost analysis, and value-based decision support.
  • Clearly communicate analytical findings, assumptions, and recommendations to diverse audiences.
  • Translate complex data into concise, compelling narratives that support informed decision-making.
  • Collaborate with cross-functional teams to understand business needs, identify challenges, and deliver data-driven solutions.
  • Act as a trusted partner to stakeholders by helping shape analytical questions and clarify insights.

Nice to Have:

  • Hands-on experience using Foundry for data analysis, data modeling, or workflows.
  • Experience with Copperleaf.

Skills:

  • Data analytics (Python, Excel, conduct data queries as needed).
  • Power BI (advanced skills, ability to create executive boards and day-to-day dashboards for business analytics).
  • SAP.
  • Microsoft Excel and Power Query as needed.
ย 

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asiaโ€”ensuring speed, quality, and consistency in every hire.

Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

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