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Logistic Data Analyst Jobs in California (NOW HIRING)

Experience with operational, logistics, or fleet-related data. * Proficiency in Python for data analysis and reporting. * Familiarity with Databricks or similar analytics platforms. About Aquent ...

Experience with operational, logistics, or fleet-related data. * Proficiency in Python for data analysis and reporting. * Familiarity with Databricks or similar analytics platforms. About Aquent ...

Experience with operational, logistics, or fleet-related data. * Proficiency in Python for data analysis and reporting. * Familiarity with Databricks or similar analytics platforms. About Aquent ...

Experience with operational, logistics, or fleet-related data. * Proficiency in Python for data analysis and reporting. * Familiarity with Databricks or similar analytics platforms. About Aquent ...

Experience with operational, logistics, or fleet-related data. * Proficiency in Python for data analysis and reporting. * Familiarity with Databricks or similar analytics platforms. About Aquent ...

Experience with operational, logistics, or fleet-related data. * Proficiency in Python for data analysis and reporting. * Familiarity with Databricks or similar analytics platforms. About Aquent ...

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 ...

Experience with operational, logistics, or fleet-related data. * Proficiency in Python for data analysis and reporting. * Familiarity with Databricks or similar analytics platforms. About Aquent ...

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 ...

New

... logistics system in the world. As we continue to scale our Platform 2 (P2) business, we are looking ... As a member of Zipline's centralized Data Science & Analytics team, you will serve as an embedded ...

Data Science - Analyst 4

San Jose, CA · On-site

$149K - $199K/yr

... logistics data into clear strategies that improve reliability, reduce cost, and grow label ... Apply advanced analytics, AI, and experimentation to solve complex business problems and improve ...

Supply Chain Data Analyst Location: Santa Ana, CA-92707 Duration: 6 Months Pay Rate: $49/hr/W2 ... Experience in logistics, distribution center, warehouse, and/or supply chain environments * High ...

New

We're looking for a Product Data Analyst to turn Senra's data into insight that improves both the ... logistics, and engineering to surface the metrics each team needs. • Data quality issues • ...

Wing offers drone delivery as a safe, fast, and sustainable solution for last mile logistics ... As an Aviation Safety Data Analyst, you will own the end-to-end safety data ecosystem while ...

Showing results 21-40

Logistic Data Analyst information

What is a logistic data analyst?

Logistic Data Analysts are professionals who collect, analyze, and interpret data related to supply chain and logistics operations. They use statistical and analytical tools to improve efficiency, reduce costs, and enhance decision-making in transportation, warehousing, and inventory management. Their work often involves creating reports, forecasting trends, and identifying bottlenecks or opportunities for process improvement. Logistic Data Analysts play a crucial role in helping organizations optimize their logistics strategies and maintain a competitive edge.

How does a logistic data analyst typically collaborate with other departments within a company?

A Logistic Data Analyst frequently works cross-functionally, partnering with teams such as supply chain, procurement, operations, and IT. They gather input from these groups to ensure accurate data collection and understand business requirements, which helps them create actionable insights. Regular meetings and data-sharing sessions are common, as analysts must align their recommendations with real-world logistics challenges and strategic goals. This collaborative environment not only broadens their impact across the organization but also enhances opportunities for professional growth and learning.

What are the key skills and qualifications needed to thrive as a logistic data analyst, and why are they important?

To thrive as a Logistic Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in supply chain management or logistics, often supported by a relevant degree. Familiarity with data analytics tools like SQL, Excel, Python, and logistics management systems (such as SAP or Oracle) is typically required, along with certifications like CLTD (Certified in Logistics, Transportation and Distribution) being advantageous. Attention to detail, problem-solving, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These skills and qualifications enable analysts to optimize supply chain processes, drive efficiency, and support data-driven decision-making within logistics operations.

What is the difference between Logistic Data Analyst vs Supply Chain Analyst?

AspectLogistic Data AnalystSupply Chain Analyst
CredentialsDegree in logistics, supply chain, or related field; data analysis certificationsDegree in supply chain management, logistics, or business; data analysis certifications
Work EnvironmentLogistics companies, transportation firms, warehousesManufacturers, retailers, distribution centers
Employer & Industry UsageFocuses on transportation, freight, and logistics operationsOversees entire supply chain processes including procurement and distribution

While both roles involve data analysis within logistics and supply chain contexts, Logistic Data Analysts primarily focus on transportation and freight data, whereas Supply Chain Analysts oversee broader supply chain processes. The roles often overlap but differ in scope and specific responsibilities.

Are logistics data analysts in high demand?

Logistics data analysts are in high demand due to the increasing need for efficient supply chain management and data-driven decision making. Employers seek professionals skilled in data analysis, logistics software, and supply chain processes to optimize operations and reduce costs.

What degree do you need to be a logistic data analyst?

A logistic data analyst typically needs at least a bachelor's degree in fields such as logistics, supply chain management, data analysis, statistics, or business administration. Strong skills in data analysis tools like Excel, SQL, or Python are also important, and some roles may prefer or require a master's degree or relevant certifications.

What is the average salary for a logistic data analyst?

The average salary for a logistics data analyst typically ranges from $55,000 to $80,000 annually, depending on experience, location, and industry. Professionals in this role often use data analysis tools like Excel, SQL, and Tableau to optimize supply chain operations.

What cities in California are hiring for Logistic Data Analyst jobs?

Cities in California with the most Logistic Data Analyst job openings:

Infographic showing various Logistic Data Analyst job openings in California as of September 2026, with employment types broken down into 100% Full Time. Highlights an 89% In-person, and 11% Remote job distribution.

Data Analyst (212647)

Santa Clara, CA • On-site

Aquent
Recruiting and Staffing Services • 5 - 10K employees

Other

Medical, Dental, Vision, Retirement

Posted 10 days ago


Key responsibilities

  • Analyze operational data, including vehicle telemetry, service logs, and dispatch information, to identify critical trends and actionable insights.

  • Develop and maintain comprehensive dashboards and recurring reports for stakeholders across fleet operations, safety, and engineering.

  • Define, track, and report on key performance indicators (KPIs) related to fleet performance, mission success, operational readiness, and overall efficiency.


Job description

Job Title: Data Analyst

Client Location: Hybrid; Foster City CA (3 Days Onsite/Weekly)

Pay Comments: W2

Minimum Pay (per hour): 60.41

Maximum Pay (per hour): 67.13

Hours: Full-time

Duration: Approx. 6 Month Assignment


Job Description:

Aquent is partnering with a pioneering company at the forefront of revolutionizing transportation through advanced autonomous technology. This organization is dedicated to creating a safer, more efficient future, and they are seeking exceptional talent to help drive their mission forward.

Are you passionate about leveraging data to drive real-world operational excellence and shape the future of autonomous mobility? We're seeking a talented Data Analyst to join a dynamic team, where your expertise will directly contribute to optimizing fleet performance, enhancing safety, and ensuring mission success. This is an incredible opportunity to translate complex data into actionable strategies that directly impact the efficiency and reliability of cutting-edge autonomous operations.


What You'll Do

  • Analyze operational data, including vehicle telemetry, service logs, and dispatch information, to identify critical trends and actionable insights.
  • Develop and maintain comprehensive dashboards and recurring reports for stakeholders across fleet operations, safety, and engineering.
  • Define, track, and report on key performance indicators (KPIs) related to fleet performance, mission success, operational readiness, and overall efficiency.
  • Ensure the accuracy, structure, and reliability of datasets used for all analytical purposes.
  • Collaborate closely with operations teams to understand their reporting needs and critical business questions.
  • Translate complex business requirements into robust data insights and reporting solutions, working hand-in-hand with engineering and product teams.
  • Empower self-service analytics by creating well-documented datasets, reports, and dashboards for broader organizational use.
  • Clearly communicate complex data findings and recommendations to both technical and non-technical audiences.
  • Proactively identify inefficiencies, recurring issues, and performance gaps through rigorous data analysis.
  • Provide timely, data-driven recommendations to support critical operational decision-making.
  • Help establish structured feedback loops to capture, analyze, and share operational learnings across the organization.
  • Contribute to the automation of recurring reports and reduction of manual efforts wherever possible.


Must-Have Qualifications

  • Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, or a related quantitative field.
  • 3+ years of professional experience in data analysis, business intelligence, or analytics-focused roles.
  • Strong proficiency in SQL for complex querying, data manipulation, and in-depth analysis.
  • Demonstrated experience with data visualization tools such as Looker, Tableau, or Power BI.
  • Proven ability to work with large datasets, transforming raw data into clear, actionable insights.
  • Strong analytical and problem-solving skills with meticulous attention to detail.
  • Excellent communication skills, with the ability to present complex insights clearly and concisely to diverse audiences.
  • Ability to collaborate effectively across technical and non-technical teams.
  • Skilled at translating abstract business questions into concrete reporting and analytical solutions.
  • Strong organizational skills with the ability to manage multiple priorities in a fast-paced environment.


Nice-to-Have Qualifications

  • Experience with operational, logistics, or fleet-related data.
  • Proficiency in Python for data analysis and reporting.
  • Familiarity with Databricks or similar analytics platforms.



About Aquent Talent:

Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands.

Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.