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Freelance Data Analyst Logistics Jobs (NOW HIRING)

As an Data Analyst with R2 Logistics, your industry knowledge directly impacts the company's continued growth and success. This position supports R2's TL and LTL procurement team and reports directly ...

As an Data Analyst with R2 Logistics, your industry knowledge directly impacts the company's continued growth and success. This position supports R2's TL and LTL procurement team and reports directly ...

Business Analyst - Logistics Reports To: Director of Operational Business Analytics Pay Rate: $65 ... Organize data into accessible reports and perform various types of analysis using key metrics Day ...

As an Data Analyst with R2 Logistics, your industry knowledge directly impacts the company's continued growth and success. This position supports R2's TL and LTL procurement team and reports directly ...

Data Analyst

Warner Robins, GA · On-site

$80K - $90K/yr

Basing Logistics Analytics Data Environment (BLADE) and Envision (like Elicsar and hosts 165 applications) * The analyst must be able to extrapolate data graphically using PowerBI and other visual ...

Data Analyst

Warner Robins, GA · Hybrid

$80K - $90K/yr

Basing Logistics Analytics Data Environment (BLADE) and Envision (like Elicsar and hosts 165 applications) * The analyst must be able to extrapolate data graphically using PowerBI and other visual ...

Data Analyst

Warner Robins, GA · Hybrid

$80K - $90K/yr

Basing Logistics Analytics Data Environment (BLADE) and Envision (like Elicsar and hosts 165 applications) * The analyst must be able to extrapolate data graphically using PowerBI and other visual ...

Data Analyst

Manhattan, NY · On-site

$100K - $135K/yr

Be part of a company redefining global logistics and supply chain solutions * Work alongside ... Analyze data trends and provide insights to improve processes, quality, and operational efficiency

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Freelance Data Analyst Logistics information

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$13

$32

$61

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
What cities are hiring for Freelance Data Analyst Logistics jobs? Cities with the most Freelance 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 Freelance Data Analyst Logistics jobs? States with the most job openings for Freelance Data Analyst Logistics jobs include:
What job categories do people searching Freelance Data Analyst Logistics jobs look for? The top searched job categories for Freelance Data Analyst Logistics jobs are:
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.
Reverse Logistics Data Analyst

Reverse Logistics Data Analyst

Prime Communications

Sugar Land, TX • On-site

Full-time

Posted 5 days ago


Prime Communications rating

5.6

Company rating: 5.6 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

22nd of 30 rated technology retailers


Job description

Position Summary
The Reverse Logistics Data Analyst is responsible for analyzing, optimizing, and reporting on device return, recovery, refurbishment, and disposition processes within AT&T's supply chain network. This role leverages data analytics to improve asset recovery rates, reduce losses, streamline reverse supply chain operations, and ensure compliance with operational and financial controls.
The ideal candidate combines strong analytical expertise with operational acumen in telecommunications device lifecycle management.
Key Responsibilities
Data Analysis, Research & Reporting
  • Analyze reverse logistics data including device returns, RMA trends and trade-ins
  • Identify root causes of processing delays, loss exposure, or compliance gaps.
  • Perform variance analysis across all systems.

Process Optimization
  • Partner with Supply Chain, Retail Operations, Finance, and IT to streamline reverse logistics workflows.
  • Identify process bottlenecks and recommend automation or system enhancements.
  • Analyze carrier-related issues (e.g., shipment discrepancies, scan compliance, damage trends).

Financial & Inventory Controls
  • Monitor financial impact of returns, write-offs, credits, and vendor chargebacks.
  • Support reconciliation efforts between physical inventory and system records.
  • Assist in forecasting reverse volume trends and recovery projections.

Cross-Functional Collaboration
  • Work with distribution centers, field leadership, AR/retail teams, and vendors to resolve data discrepancies.
  • Provide executive-level reporting and insights.
  • Support strategic initiatives related to device lifecycle management and sustainability goals.

Preferred Qualifications
  • Bachelor's degree in Supply Chain, Business Analytics, Finance, Statistics, or related field.
  • 2+ years of experience in data analytics, supply chain analytics, or reverse logistics.
  • Advanced proficiency in Excel (pivot tables, Power Query, complex formulas).
  • Strong analytical, problem-solving, and root cause analysis skills.
  • Ability to translate complex datasets into actionable insights.
  • Experience in telecommunications or consumer electronics supply chain.
  • Knowledge of device lifecycle management and refurbishment operations.

Core Competencies
  • Data-driven decision making
  • Operational risk assessment
  • Process improvement mindset
  • Stakeholder communication
  • Attention to detail

Position Summary
The Reverse Logistics Data Analyst is responsible for analyzing, optimizing, and reporting on device return, recovery, refurbishment, and disposition processes within AT&T's supply chain network. This role leverages data analytics to improve asset recovery rates, reduce losses, streamline reverse supply chain operations, and ensure compliance with operational and financial controls.
The ideal candidate combines strong analytical expertise with operational acumen in telecommunications device lifecycle management.
Key Responsibilities
Data Analysis, Research & Reporting
  • Analyze reverse logistics data including device returns, RMA trends and trade-ins
  • Identify root causes of processing delays, loss exposure, or compliance gaps.
  • Perform variance analysis across all systems.

Process Optimization
  • Partner with Supply Chain, Retail Operations, Finance, and IT to streamline reverse logistics workflows.
  • Identify process bottlenecks and recommend automation or system enhancements.
  • Analyze carrier-related issues (e.g., shipment discrepancies, scan compliance, damage trends).

Financial & Inventory Controls
  • Monitor financial impact of returns, write-offs, credits, and vendor chargebacks.
  • Support reconciliation efforts between physical inventory and system records.
  • Assist in forecasting reverse volume trends and recovery projections.

Cross-Functional Collaboration
  • Work with distribution centers, field leadership, AR/retail teams, and vendors to resolve data discrepancies.
  • Provide executive-level reporting and insights.
  • Support strategic initiatives related to device lifecycle management and sustainability goals.

Preferred Qualifications
  • Bachelor's degree in Supply Chain, Business Analytics, Finance, Statistics, or related field.
  • 2+ years of experience in data analytics, supply chain analytics, or reverse logistics.
  • Advanced proficiency in Excel (pivot tables, Power Query, complex formulas).
  • Strong analytical, problem-solving, and root cause analysis skills.
  • Ability to translate complex datasets into actionable insights.
  • Experience in telecommunications or consumer electronics supply chain.
  • Knowledge of device lifecycle management and refurbishment operations.

Core Competencies
  • Data-driven decision making
  • Operational risk assessment
  • Process improvement mindset
  • Stakeholder communication
  • Attention to detail

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