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Data Analyst Logistics Jobs in California (NOW HIRING)

Monster Energy

Logistics TMS Analyst

Corona, CA · On-site

$19 - $26/hr

In the position of Analyst, Logistics TMS, you will be responsible for day-to-day logistic ... Analyze transportation data to identify trends and inefficiencies. The Impact You'll Make:

Judit Inc

Logistics Risk Analyst

Santa Ana, CA

Top skills: * Excel(Pivot,Lookup,data matching&compare), Query and formula * Communication * Analysis Schedule : Fully onsite Role Summary: * Logistics Risk Analyst focuses on data-driven ...

TriOptus LLC

Data Analyst

San Francisco, CA · On-site

Collaborate with logistics team, data team, and various stakeholders to understand needs and deliver solutions. Must Have Skills: * 3+ years of experience as a Data Analyst or Engineer * Proficient ...

ASK Consulting

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Logistics Risk Analyst (cur_1_128148@curatelyai.net)

Santa Ana, CA · On-site

$45/hr

Excel(Pivot,Lookup,data matching & compare), Query and formula * Communication * Analysis Key Responsibilities/Requirements: Role Summary: Logistics Risk Analyst focuses on data-driven identification ...

New

Veryon

Data Analyst

San Francisco, CA · On-site

Description: Data Analyst Description About Veryon Veryon is the leading global provider of ... logistics, quality, or related fields * Exposure to software tools or technical systems used in ...

Harper

Data Analyst

San Francisco, CA

$140K - $180K/yr

Data Analyst Harper is an AI-native commercial insurance company in San Francisco. We're not ... Compensation & logistics * Salary: $140,000-$180,000, plus performance bonus and equity. * Location:

Harper Group

Data Analyst

San Francisco, CA · On-site

$140K - $180K/yr

Data Analyst Harper is an AI-native commercial insurance company in San Francisco. We're not ... Compensation & logistics * Salary: $140,000-$180,000, plus performance bonus and equity. * Location:

psudo

As a data analyst, you will be responsible for compiling actionable insights from data and ... Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests ...

Zipline

Business Data Analyst

San Francisco, CA

$110K - $135K/yr

We design, build, and operate the world's largest autonomous logistics system, delivering critical ... As an embedded partner within the centralized Data Science & Analytics team, you will own the ...

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Showing results 1-20

All JobsData Analyst Logistics JobsData Analyst Logistics Jobs in California

Data Analyst Logistics information

See California salary details

$33.6K

$81.6K

$134.2K

How much do data analyst logistics jobs pay per year?

As of Aug 2, 2026, the average yearly pay for data analyst logistics 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 types of teams or departments do Data Analyst Logistics professionals typically collaborate with?

Data Analyst Logistics professionals commonly work closely with supply chain, warehouse operations, procurement, transportation, and IT teams to analyze and optimize logistics processes. They may be involved in cross-functional projects, often acting as a bridge between technical data sources and operational staff to implement process improvements or resolve bottlenecks. Collaboration is key, as logistics analysts need to understand diverse business needs and communicate findings effectively to both technical and non-technical stakeholders. This teamwork ensures smooth data flow and helps organizations achieve more efficient and cost-effective logistics operations.

What does a logistics analyst do?

A logistics analyst evaluates and improves supply chain processes to ensure efficient movement of goods. They analyze data related to transportation, inventory, and warehousing, often using tools like Excel or logistics software, to identify cost-saving opportunities and optimize operations.

What is the role of data analytics in logistics?

Data analysts in logistics use data analytics to optimize supply chain operations, improve inventory management, and enhance delivery efficiency. They analyze large datasets using tools like Excel, SQL, or specialized software to identify patterns, forecast demand, and support decision-making processes.

What is a Data Analyst Logistics job?

A Data Analyst Logistics job involves analyzing supply chain and transportation data to improve efficiency, reduce costs, and optimize operations. Analysts collect, process, and interpret large data sets related to shipping, inventory, and demand forecasting. They use data visualization, statistical models, and analytical tools to identify trends and make data-driven recommendations. The role requires skills in SQL, Excel, and data visualization tools like Tableau or Power BI. Strong problem-solving and communication skills are also essential for conveying insights to stakeholders.

What is the role of a Data Analyst in logistics?

A Data Analyst in logistics is responsible for collecting, analyzing, and interpreting data related to supply chain operations, transportation, and inventory management. They use tools like Excel, SQL, or data visualization software to identify trends, optimize processes, and support decision-making to improve efficiency and reduce costs.

What are the key skills and qualifications needed to thrive in the Data Analyst Logistics position, and why are they important?

To thrive as a Data Analyst Logistics, you need strong analytical skills, proficiency in data management, and a background in supply chain or logistics, often supported by a relevant degree. Familiarity with tools like SQL, Excel, Python, and logistics management systems (such as SAP or Oracle), along with certifications in supply chain analytics, are commonly required. Excellent problem-solving abilities, attention to detail, and clear communication skills help you interpret complex data and relay actionable insights to cross-functional teams. These skills are vital for optimizing logistics operations, improving efficiency, and supporting data-driven decision-making within the supply chain.

How to become a logistics Data Analyst?

To become a logistics Data Analyst, you typically need a bachelor's degree in fields like data science, statistics, or supply chain management. Developing skills in data analysis tools such as Excel, SQL, and visualization software like Tableau, along with understanding logistics operations, is essential. Gaining experience through internships or entry-level roles can also help build relevant expertise.
What are the most commonly searched types of Data Analyst Logistics jobs in California? The most popular types of Data Analyst Logistics jobs in California are:
What are popular job titles related to Data Analyst Logistics jobs in California? For Data Analyst Logistics jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Analyst Logistics jobs in California look for? The top searched job categories for Data Analyst Logistics jobs in California are:
What cities in California are hiring for Data Analyst Logistics jobs? Cities in California with the most Data Analyst Logistics job openings:
Data Analyst Logistics jobs near you
Infographic showing various Data Analyst Logistics job openings in California as of July 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Logistics Risk Analyst

West Coast Logistics

Santa Ana, CA

$46/hr

Full-time

Posted 4 days ago

Job description

CLIENT HIGHLIGHT
The client you will be working for is a Top 20 Fortune Global 500 Consumer Electronics and Technology Company. This opportunity will give you experience in the technology sector in the United States with a company that is a globally recognized leader in smartphones, televisions, home appliances, and semiconductor innovation — and one of the most well-known brands in the world.
LOCATION
Santa Ana, CA 92707
COMPENSATION
$46 an hour
SCHEDULE
Working Model: Fully onsite.
CONTRACT TERM
1 year contract with a very high likelihood of extension
POSITION OVERVIEW
The Logistics Risk Analyst focuses on data-driven identification, analysis, and monitoring of logistics risks, serving as the analytical engine of the logistics risk management function and transforming operational data into actionable insights. The role also functions as a Data Analyst, providing business intelligence support through both repeatable and ad hoc reporting (charts, graphs, tables, etc.) that enables informed business decisions.
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.
  • Analyze performance of process activities, identify problem areas, and present findings in clear, concise charts, graphs, tables, or summaries.
  • Establish standardized methods of recording, tracking, and reporting on activity.
  • Design, implement, automate, and maintain large-scale enterprise data ETL processes.
  • Modify existing databases and database management systems and/or direct programmers and analysts to make changes.
REQUIRED QUALIFICATIONS/SKILLS
  • Bachelor's degree in Data Analytics, Supply Chain, Engineering, Statistics, or a related field.
  • Bachelor's degree in a technical field such as Computer Science, Computer Engineering, or a related field required
  • 3-6 years of experience in logistics analytics, operations analytics, or supply chain data analysis.
  • Excel (Pivot Tables, Lookup, data matching & comparison), Query, and formula proficiency.
  • Communication.
  • 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.
  • Strong analytical and quantitative skills.
  • High attention to detail and data accuracy.
  • Ability to translate data into business insights.
  • Ability to work as part of a team, as well as independently or with minimal direction.
  • Excellent written, presentation, and verbal communication skills.
  • Strong PC skills, including knowledge of Microsoft SharePoint.
PREFERRED QUALIFICATIONS
  • Demonstrated knowledge of one or more key information service standards, such as SDLC, ITIL, QA/Testing, Project Management, or Six Sigma.
  • Process certification, such as Six Sigma, CBPP, BPM, ISO 20000, ITIL, or CMMI.