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Operational Data Analyst Jobs in California (NOW HIRING)

The successful candidate will play a key role in formulating operational strategy, managing ... Analyze and resolve complex data exceptions efficiently to ensure that data delivered to trading ...

Founding Data Analyst

San Francisco, CA ยท On-site

$80 - $110/hr

We're hiring a Founding Data Analyst to join our Growth and Operations teams and build the data foundation that powers SyntheticFi's hyperโ€‘growth. This earlyโ€‘stage, highโ€‘impact role expects ...

Data Analyst

San Francisco, CA ยท 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 ...

Data Analyst

Los Angeles, CA ยท 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 ...

This role will build strong relationships and partner closely with Product, Engineering, Data Science, Business Operations, and other Analytics teams to ensure the business executes effective ...

Data Analyst

Los Angeles, CA ยท On-site

$85K - $105K/yr

Data Analyst Position Description Date Issued: June 2026 Department: Finance Reports to: VP of ... Partner with Finance, Operations, Sales, and Executive Leadership to define KPIs, metrics, and ...

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 ...

Data Analyst

Los Angeles, CA ยท On-site

$60K - $104K/yr

Data Analyst II (Business Systems Analyst II) is responsible for designing, developing, and ... Adheres to all Bank Administrative, Operational and Credit policies and procedures as well as all ...

Data Analyst

San Jose, CA ยท On-site

$90K - $110K/yr

Supermicro is seeking a Data Analyst to join our team ... In this role, you will work closely with Sales, Operations, Product Management, and Procurement ...

Data Analyst

San Jose, CA ยท On-site

$134K - $176K/yr

... Operations (CSO), enables worldwide regulatory compliance across Cisco's product portfolio. As ... Provide ad hoc reporting, data extracts, and analytical support while identifying opportunities to ...

Data Analyst

San Francisco, CA ยท On-site +1

$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 ...

Showing results 41-60

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 Sep 5, 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:

Infographic showing various Operational Data Analyst job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Data Analyst (Korean Bilingual)

Intac Solution

Santa Ana, CA โ€ข On-site

$32 - $42/hr

Full-time

Re-posted 22 days ago


Job description

Job Title: Logistics Risk Analyst
Clint: Samsung
Rate: $38-$40
Work Location: 3 MacArthur Place, Santa Ana, CA, USA
Work Schedule: Fully onsite
Length of Assignment: 12 months
**Bilingual Korean not required but strongly preferred
Education and Years of Experience:
1) Bachelorโ€™s degree in Data Analytics, Supply Chain, Engineering, Statistics, or related field.
2) 2 years of experience in logistics analytics, operations analytics, or supply chain data analysis.
Top Skills:
1. Excel(Pivot, Lookup, data matching amp; compare),
2. Communication
3. Analysis
Role Summary
Logistics Risk Analyst focuses on data-driven identification, analysis, and monitoring of logistics risks. This role serves as the analytical engine of the logistics risk management function, transforming operational data into actionable insights.
Key Responsibilities
-Analyze logistics data from TMS, WMS, ERP, and claims systems to identify risk patterns and anomalies.
-Develop and maintain logistics risk dashboards, KPIs, and early-warning indicators.
-Track trends in loss, damage, delay, and service failures.
-Support root cause analysis with quantitative evidence and data modeling.
-Prepare regular risk reports and ad-hoc analyses for management review.
-Partner with IT and operations teams to improve data quality and system integration.
-Support audits, compliance reviews, and risk assessments with data analysis.
-Recommend process improvements based on data findings.
Qualifications:
- Bachelorโ€™s degree in Data Analytics, Supply Chain, Engineering, Statistics, or related field.
- 2 years of experience in logistics analytics, operations analytics, or supply chain data analysis.
-Hands-on experience with Excel, SQL, and BI tools (Power BI, Tableau, etc.).
-Familiarity with TMS/WMS and logistics performance metrics.
-Experience handling large datasets and building dashboards.
Core Competencies
-Strong analytical and quantitative skills
-High attention to detail and data accuracy
-Ability to translate data into business insights
-Structured analysis

Intac Solution logo

About Intac Solution

Sourced by ZipRecruiter

Intac Solution, established in 2015 in Dallas, TX, started up with a group of leaders with over 15 years of experience in the mobile device engineering industry. Our company specializes in discovering talents and serving solutions to S/W & H/W Development, Testing Outsourcing, Market Research & Data Analysis to provide limitless solutions to Client Projects. We are dedicated to make sure our clients receive high quality services by providing options to continuously monitor status and quality of different projects. Currently employing over 300 members across the board, ITS is a fast growing company due to its performance, resources, and innovated services. In 2017, within 2 years of establishment, we expanded providing resourcing services to clients to different locations within the United States. ITS is continuing to grow by completing new team projects effectively and successfully.

Industry

Marketing

Company size

11 - 50 Employees

Headquarters location

Plano, TX, US