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Operational Data Analyst Jobs in California (NOW HIRING)

SPECTRAFORCE

Data Scientist

Oakland, CA · Hybrid

Operations Data Analyst 📍 Location: Oakland or Sacramento, CA (Hybrid - onsite once per week) 📅 Duration: 6 Months Contract ⚠️ Local Candidates Only We are seeking an experienced Operations ...

FieldAI

Field Data Analyst

Irvine, CA · 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 ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

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 ...

FieldAI

Field Data Analyst

Irvine, CA

$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 ...

Kids Empire US LLC

Data Analyst

West Hollywood, CA · On-site

We are rebuilding our data foundations to support new operational use cases and more advanced analytics. To support this effort, we're hiring a Data Analyst who will help shape a modern, reliable ...

Tekcel8

Data Analyst

California City, CA · Hybrid

The ideal candidate will be responsible for collecting, analyzing, and interpreting data to help drive business decisions, improve operational efficiency, and identify growth opportunities. Key ...

Redolent, Inc

Data Analyst

San Bruno, CA

... operational metrics to drive better efficiency and help reduce partner payment friction Perform Data Analysis and Reporting across different payments/risk initiatives (chargebacks reduction, new risk ...

Cardless, Inc

Data Analyst

San Francisco, CA · On-site

$130K - $200K/yr

Analyze operational, product, and financial data to identify trends, diagnose issues, and surface actionable insights * Build dashboards, reporting frameworks, and monitoring tools that improve ...

The Rockridge Group

Data Analyst

Concord, CA

Data Analyst Position Summary We have a need for Data Analyst with experience in data analytics and ... s operations, finance, and CRM salesforce) to gather, analyze and share qualitative and ...

MetroSys

Data Analyst

Santa Barbara, CA · On-site

... operations, and client experience teams.Key Responsibilities * Support the Senior Data Analyst with ... data collection, validation, and preparation from relational data sources. * Maintain, enhance, and ...

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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 15, 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 Scientist

SPECTRAFORCE

Oakland, CA • Hybrid

Other

Posted 5 days ago

Job description

Job Title: Operations Data Analyst

📍 Location: Oakland or Sacramento, CA (Hybrid – onsite once per week)

📅 Duration: 6 Months Contract

⚠️ Local Candidates Only

We are seeking an experienced Operations Data Analyst to join our client’s team in a hybrid role based in Oakland or Sacramento, CA. This is an excellent opportunity for data professionals with strong experience in Power BI, SQL, and advanced data analysis to support operational reporting and business intelligence initiatives.

Responsibilities:

  • Manage routine data analysis projects from initial request through delivery
  • Process, analyze, and interpret operational data
  • Develop automated data routines and reporting processes
  • Create and manage data extracts and list pulls
  • Transfer and prepare data for operational analysis teams
  • Build ad hoc reports, trend analysis, statistics, and data profiles
  • Perform data cleansing and ensure data accuracy
  • Present clear, concise, and actionable findings to stakeholders

Required Qualifications:

  • Minimum 2+ years of related work experience
  • Strong hands-on experience with Power BI
  • Proficiency in advanced Microsoft Excel (complex formulas, graphing, VBA)
  • Experience writing SQL queries using Oracle or Business Objects
  • Ability to analyze data and communicate insights effectively
  • BA/BS degree in Marketing, Business, Computer Science, Engineering, or related field (or equivalent experience)

Preferred Qualifications:

  • Experience with Microsoft Power Apps and Microsoft Power Automate
  • Experience with UNIX shell scripting (csh, awk, sed, vi)
  • Knowledge of Base SAS
  • Experience with programming languages such as Visual Basic, Perl, or C
  • Experience building large-scale automation/reporting solutions

Additional Information:

  • Client laptop will be provided
  • In case of delay, candidate must be able to use their own laptop to start

If you are a detail-oriented data professional with strong analytical and reporting expertise, we encourage you to apply.

Apply