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Manager Data Analyst Logistics Jobs in California

Logistics TMS Analyst

Corona, CA · On-site

$19 - $26/hr

Manage freight lane data within Transportation Management Systems (TMS) system and lead process for setting up new lanes in TMS as needed. Use knowledge and skills to find solutions to minimize ...

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 ...

Logistics Analyst

Santa Ana, CA · On-site

$40 - $44/hr

This role serves as the analytical engine of the logistics risk management function, transforming operational data into actionable insights. * Analyze logistics data from TMS, WMS, ERP, and claims ...

Collaborate with logistics team, data team, and various stakeholders to understand needs and ... Proficient with data analysis, visalization and management tools like SQL, Python, Tableau, Power ...

Manager, Data Analytics

Santa Monica, CA · On-site

$158K - $224K/yr

Five (5) years of experience as a Lead Data Analyst, Lead Business Analyst, Product Data Analyst ... and managing data products; big data technologies (Redshift, S3, Databricks, Datalakes, and Spark ...

Manager, Data Analytics

Santa Monica, CA · On-site +1

$158K - $224K/yr

Five (5) years of experience as a Lead Data Analyst, Lead Business Analyst, Product Data Analyst ... and managing data products; big data technologies (Redshift, S3, Databricks, Datalakes, and Spark ...

... logistics, quality, or related fields * Exposure to software tools or technical systems used in ... Interest in project management or business analysis * Data manipulation or reporting experience ...

Work closely with top management to prioritize information and analytic needs Requirements ... Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests ...

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Manager Data Analyst Logistics information

What is the difference between Manager Data Analyst Logistics vs Data Analyst Logistics?

AspectManager Data Analyst LogisticsData Analyst Logistics
Required CredentialsBachelor's degree, often with experience in logistics or data managementBachelor's degree in related field, entry to mid-level experience
Work EnvironmentSupervisory role overseeing teams, strategic planningData analysis tasks, reporting, data management
Employer & Industry UsageLogistics companies, supply chain firms, large corporationsLogistics, transportation, supply chain companies

The main difference between a Manager Data Analyst Logistics and a Data Analyst Logistics lies in their responsibilities and seniority. Managers oversee teams, develop strategies, and handle higher-level decision-making, while Data Analysts focus on analyzing data, generating reports, and supporting operational decisions. Both roles are essential in logistics and supply chain industries, but the manager position involves leadership and strategic planning.

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 cities in California are hiring for Manager Data Analyst Logistics jobs? Cities in California with the most Manager Data Analyst Logistics job openings:

Logistics Risk Analyst

West Coast Logistics

Santa Ana, CA

$46/hr

Full-time

Posted 7 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.