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Data Analyst Logistics Jobs (NOW HIRING)

Analyst Logistics

Windsor, CT ยท On-site

$63K - $101K/yr

Performs moderately complex analysis of information, problems, and/or data under general ... Enhances product workflow by analyzing and developing logistics plans that affect supply chain ...

Analyze operational data and develop reports, scorecards, and performance metrics to support ... logistics It'd be great if you also have: * Experience analyzing operational data and developing ...

Performs moderately complex analysis of information, problems, and/or data under general ... Enhances product workflow by analyzing and developing logistics plans that affect supply chain ...

They collect data, perform transportation, statistical and mapping analysis, design customized ... Conduct logistics analysis in support of both operational and new sales projects. Conduct the ...

Performs moderately complex analysis of information, problems, and/or data under general ... Enhances product workflow by analyzing and developing logistics plans that affect supply chain ...

Engineer I - Analyst (Logistics) Location: Beachwood OH Shift: Monday - Friday 8am - 5pm (Onsite 4 ... They collect data, perform transportation, statistical and mapping analysis, design customized ...

Engineer I - Analyst (Logistics) Location: Beachwood OH Shift: Monday - Friday 8am - 5pm (Onsite 4 ... They collect data, perform transportation, statistical and mapping analysis, design customized ...

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Data Analyst Logistics information

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$34K

$82.6K

$136K

How much do data analyst logistics jobs pay per year?

As of Jul 20, 2026, the average yearly pay for data analyst logistics in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 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.
More about Data Analyst Logistics jobs
What cities are hiring for Data Analyst Logistics jobs? Cities with the most Data Analyst Logistics job openings:
What are the most commonly searched types of Data Analyst Logistics jobs? The most popular types of Data Analyst Logistics jobs are:
What states have the most Data Analyst Logistics jobs? States with the most job openings for Data Analyst Logistics jobs include:
Infographic showing various Data Analyst Logistics job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst - Logistics Business Improvement

Data Analyst - Logistics Business Improvement

Carman Solutions Group

Houston, TX โ€ข On-site

Contractor

Re-posted 2 days ago


Job description

Role- Data Analyst โ€“ Logistics Business Improvement
Location- Houston, TX | Onsite
Job Type- 12+ month contract
Looking for a Data Analyst who can turn logistics data into something more useful than a weekly spreadsheet nobody trusts but everyone keeps forwarding around anyway.
This role sits right in the middle of logistics, transportation, supply chain operations, and analytics. The team needs somebody who can build meaningful reporting, spot operational issues early, and help leadership actually see whatโ€™s happening across transportation costs, carrier performance, and logistics operations in real time.
A big part of the work revolves around Power BI, SAP data, analytics development, KPI tracking, and process improvement across global logistics operations. Thereโ€™s also a strong business-facing side to the role, so this is not just a โ€œsit quietly and build dashboardsโ€ position.
Youโ€™ll be working closely with logistics teams, supply chain stakeholders, and IT groups to improve reporting visibility, support transportation analytics, and help drive operational improvements across multiple workstreams.
What matters most for this role:
โ€ข Strong Power BI experience
โ€ข SAP experience, ideally around logistics or supply chain operations
โ€ข Experience with SQL, DAX, Power Query, and advanced analytics
โ€ข Ability to build dashboards, KPIs, and reporting frameworks that people actually use
โ€ข Commercial supply chain or logistics experience
โ€ข Strong analytical and root cause analysis skills
โ€ข Ability to work directly with business stakeholders and translate operational needs into reporting solutions
Experience with Alteryx, Tableau, SharePoint, SAP S/4 HANA, transportation analytics, or oil & gas logistics environments is a strong plus.
The team is looking for somebody whoโ€™s naturally curious, comfortable digging through messy operational data, and able to explain findings without sounding like they swallowed a reporting manual. Somebody who can spot patterns, challenge bad assumptions, and help improve processes instead of just documenting them after the fact.
ย 
Regards,
Himanshu Rawat
himanshu@carmansg.com