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Freelance Data Analyst Logistics Jobs (NOW HIRING)

RXO, Inc.

Senior Analyst, Logistics

Naperville, IL · On-site

As a Senior Logistics Analyst, you will develop actionable research to enhance productivity and ... Responsibilities : • Prepare operational and data for research, investigation, projects, or ...

RXO

Senior Analyst, Logistics

Naperville, IL · On-site

As a Senior Logistics Analyst in Managed Transportation at RXO, you will be responsible for ... Prepare operational and data for research, investigation, projects, or general business actions

Work Now Staffing

1st Shift - Data Analyst

Romeoville, IL

$21.63 - $28.85/hr

Work Now Staffing is looking to hire Data Analysts (Logistics, Bulk Mail, & Postal Optimization Specialist) for our Romeoville client. Shift: 1st Shift - 8:00am - 5:30pm and 9:00am - 5:30pm Pay: $21 ...

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How much do freelance data analyst logistics jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for freelance data analyst logistics in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

How much do freelance data analysts make?

Freelance data analysts typically earn between $25 and $100 per hour, depending on experience, skills, and project complexity. Annual earnings can vary widely, often ranging from $50,000 to over $100,000 for experienced professionals working on multiple projects. Rates may increase with expertise in tools like Excel, SQL, or Python, and certifications can also influence earning potential.

How does a freelance data analyst in logistics typically collaborate with clients and supply chain teams?

As a freelance data analyst in logistics, you will often work remotely and interact with clients through virtual meetings, emails, and shared dashboards. Collaboration usually involves clarifying project goals, gathering data from various sources, and regularly updating stakeholders on your findings. You may also work closely with supply chain managers, IT staff, and operations teams to ensure your analyses address real-time challenges and lead to actionable recommendations. Effective communication and the ability to translate complex data insights into practical logistics solutions are key to successful collaboration.

Can a data analyst do freelancing?

A data analyst can work as a freelancer by offering services such as data cleaning, analysis, and reporting to clients on a project basis. Freelance data analysts often use tools like Excel, SQL, and Python, and may need relevant certifications or experience to secure contracts and manage their schedules independently.

What does a logistics data analyst do?

A logistics data analyst collects, analyzes, and interprets data related to supply chain and transportation operations to improve efficiency and reduce costs. They use tools like Excel, SQL, or data visualization software to identify trends, optimize routes, and support decision-making in logistics processes.

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

To excel as a Freelance Data Analyst in Logistics, you need a strong background in data analysis, logistics processes, and a relevant degree in analytics, supply chain, or a related field. Familiarity with analytics tools like SQL, Python, Excel, and logistics management systems is essential, and certifications such as Certified Supply Chain Professional (CSCP) can be advantageous. Excellent problem-solving, communication, and time-management skills help you interpret data insights and convey recommendations to diverse clients. These competencies ensure you can deliver actionable solutions that optimize logistics operations and add measurable value to clients.

Is AI replacing data analysts?

AI is automating certain tasks within data analysis, such as data cleaning and basic reporting, but it does not replace the need for skilled data analysts. Data analysts, including those in logistics, are essential for interpreting complex data, making strategic decisions, and developing insights that require human judgment and domain expertise. Proficiency in tools like SQL, Excel, and data visualization software remains important for the role.

What does a Freelance Data Analyst in Logistics do?

A Freelance Data Analyst in Logistics collects, processes, and analyzes data related to supply chain and transportation operations. They help logistics companies optimize routes, reduce costs, and improve efficiency by identifying trends and patterns in large datasets. Their work often includes creating dashboards, generating reports, and providing actionable insights to support business decisions. Because they work freelance, they may support multiple clients and projects on a contract basis.

What is the difference between Freelance Data Analyst Logistics vs Freelance Supply Chain Analyst?

AspectFreelance Data Analyst LogisticsFreelance Supply Chain Analyst
CredentialsData analysis certifications, logistics knowledgeSupply chain management certifications, data analysis skills
Work EnvironmentRemote or project-based, logistics companies or consultanciesRemote or project-based, supply chain firms or consulting agencies
Industry UsageLogistics, transportation, warehousingSupply chain management, procurement, distribution
Search & ComparisonOften compared for logistics data roles, focus on transportation dataBroader supply chain focus, includes procurement and inventory analysis

Freelance Data Analyst Logistics primarily focuses on analyzing transportation and logistics data, while Freelance Supply Chain Analyst covers a broader scope including procurement and inventory management. Both roles require strong data skills and industry knowledge but differ in their specific focus areas.

More about Freelance Data Analyst Logistics jobs
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Freelance Data Analyst Logistics jobs near you
Infographic showing various Freelance Data Analyst Logistics job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, and 33% Temporary. Highlights an 100% In-person job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Data Analyst - Logistics Business Improvement

Carman Solutions Group

Houston, TX • On-site

Contractor

Posted 26 days ago

Job description

Role- Data Analyst – 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 what’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. There’s also a strong business-facing side to the role, so this is not just a “sit quietly and build dashboards” position.
You’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:
• Strong Power BI experience
• SAP experience, ideally around logistics or supply chain operations
• Experience with SQL, DAX, Power Query, and advanced analytics
• Ability to build dashboards, KPIs, and reporting frameworks that people actually use
• Commercial supply chain or logistics experience
• Strong analytical and root cause analysis skills
• 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 who’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.
 
Regards,
Himanshu Rawat
himanshu@carmansg.com