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Remote Data Analyst Logistics Jobs (NOW HIRING)

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

Senior Data Analyst (Remote)

Denver, CO ยท Remote

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics we help companies accelerate the time to insights from their data. We do this in three ways data analytics, data diligence, and fractional ...

Data Analyst Location: Remote project Duration: 6-12 months Responsibilities * Deep data and business analyses to deliver insights and learning * Define, develop, and monitor key performance metrics ...

Data Analyst

Beavercreek, OH ยท On-site +1

$61K - $141K/yr

Remote Work: Yes Job Number: R0242373 Location: Beavercreek,OH,US Share job via: Share Data Analyst ... Experience with logistics * Experience in requirements elicitation * Experience in Information ...

Data Analyst Work Location: Remote (preference for candidates located in the National Capital Region - DMV) Clearance Required: TS or CBP BI or DHS Suitability (clearance adjudicated within the past ...

Data Analyst Work Location: Remote (preference for candidates located in the National Capital Region - DMV) Clearance Required: TS or CBP BI or DHS Suitability (clearance adjudicated within the past ...

Data Analyst

Arlington, VA ยท On-site +1

... for remote work to be determined by the program manager and customer. Essential Functions ... Experience with Predictive Maintenance / Logistics * Experience with sensor-based failure ...

Data Analyst

Pittsburgh, PA ยท On-site +1

Our data analytics advisory services enable our customers to transform data into insights by ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Data Analyst Location: Remote Top Skills: * Python * Tableu * SQL Strong * AWS Job Requirement: * * Need to have experience with Data sets to do: * Gain customer insights (segmentation and ...

Data Analyst

Houston, TX ยท Remote

$40 - $45/hr

Houston, TX or US Remote Duration: 6-12 months Skills: Data Analytics & Insights : ignio AIOps Experience Required: 6-8 Years Role Description: Data Analyst Strong experience in data analysis ...

Houston, TX or US Remote Duration: 6-12 months Skills: Data Analytics & Insights : ignio AI Ops Experience Required: 6-8 Years Role Description: Data Analyst * Strong experience in data analysis ...

Remote : OK Job role: As a data analyst, you will be responsible for compiling actionable insights ... Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests ...

Data Analyst - Long Term Contract - Remote (US-based) We're seeking a Data Analyst to support the People Development Operations team by automating reporting, streamlining data processes, and creating ...

The Data Analyst helps RightNow Media turn data into trusted, consistent, and actionable insight ... Schedule Full-time, Monday through Friday Work Location Fully remote **Please note we will not ...

Operations Data Analyst

Tampa, FL ยท Remote

$70K - $80K/yr

Remote (United States)Job Type: Full-TimePay: $70,000 - $80,000 annually (based on experience ... Background in operations, logistics, or multi-site environments * Exposure to BI tools (Power BI ...

Operations Data Analyst

Tampa, FL ยท Remote

$70K - $80K/yr

Remote (United States)Job Type: Full-TimePay: $70,000 - $80,000 annually (based on experience ... Background in operations, logistics, or multi-site environments * Exposure to BI tools (Power BI ...

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Remote Data Analyst Logistics information

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$34K

$82.6K

$136K

How much do remote data analyst logistics jobs pay per year?

As of Jun 20, 2026, the average yearly pay for remote 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.

Can I work in logistics remotely?

Remote data analyst roles in logistics are increasingly available, especially for tasks involving data analysis, reporting, and using tools like Excel or SQL. However, some positions may require on-site presence for specific activities such as warehouse coordination or physical inspections. Flexibility depends on the company's policies and the nature of the logistics functions involved.

How does a Remote Data Analyst in logistics typically collaborate with cross-functional teams to optimize supply chain processes?

As a Remote Data Analyst in logistics, you will frequently collaborate with supply chain managers, IT specialists, and operations teams through virtual meetings and shared data platforms. Your role involves interpreting large datasets to identify trends, inefficiencies, and improvement opportunities, and then communicating actionable insights to stakeholders. Regular collaboration ensures data-driven decisions are aligned with organizational goals, and you may also assist in developing dashboards or reports for ongoing performance monitoring. This teamwork is essential in optimizing inventory management, transportation routes, and overall supply chain effectiveness.

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

AspectRemote Data Analyst LogisticsRemote Data Analyst Supply Chain
Required CredentialsBachelor's in Logistics, Supply Chain, or related field; data analysis certificationsBachelor's in Supply Chain Management, Business Analytics, or related; data analysis certifications
Work EnvironmentLogistics companies, transportation firms, warehousingManufacturers, retailers, distribution centers
Employer & Industry UsageLogistics and freight companiesSupply chain and procurement sectors
Search & Comparison IntentFocus on logistics operations and transportation dataFocus on overall supply chain processes and procurement data

Remote Data Analyst Logistics primarily focuses on analyzing transportation, warehousing, and logistics operations, while Remote Data Analyst Supply Chain covers broader supply chain processes including procurement and inventory management. Both roles require similar skills and certifications but differ in industry focus and work environment.

Are logistics analysts in high demand?

Logistics analysts are in high demand due to the growing need for efficient supply chain management across industries. Their skills in data analysis, logistics software, and process optimization are increasingly sought after as companies focus on cost reduction and operational efficiency.

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

To thrive as a Remote Data Analyst in Logistics, you need strong analytical skills, expertise in data modeling, and a background in logistics or supply chain management, often supported by a relevant degree. Proficiency in tools such as SQL, Excel, Tableau, and experience with logistics management systems or ERP software is typically required. Excellent problem-solving, attention to detail, and clear communication skills help you work independently and convey insights to cross-functional teams. These capabilities are crucial for optimizing supply chain operations, driving efficiency, and supporting data-driven decision-making in a remote environment.

What does a Remote Data Analyst in Logistics do?

A Remote Data Analyst in Logistics is responsible for collecting, analyzing, and interpreting data related to supply chain operations, shipping, inventory, and transportation. They use various analytical tools to identify trends, optimize processes, and help their organization make data-driven decisions to improve efficiency and reduce costs. Working remotely, they collaborate with teams using digital communication tools and often create reports or dashboards to present their findings to stakeholders.

Is AI replacing data analysts?

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

Is it possible to get a remote job as a data analyst?

Remote data analyst positions are widely available across industries, often requiring skills in data visualization, SQL, and Excel. Many companies offer remote work options, and candidates typically need strong analytical skills and relevant experience or certifications to qualify.
More about Remote Data Analyst Logistics jobs
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What states have the most Remote Data Analyst Logistics jobs? States with the most job openings for Remote Data Analyst Logistics jobs include:

Data Entry Coordinator Junior (Remote)

Only Data Entry

Philadelphia, PA โ€ข Remote

Other

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Data Entry Coordinator Junior (Remote)

Are you ready to embark on a career that offers endless opportunities for growth and development? Do you have a passion for precision and an eye for detail? If so, we have the perfect entry-level opportunity for you as a Remote Data Entry Operator at our company.

We believe that data is the lifeblood of modern business. Our mission is to empower organizations with the most accurate, up-to-date, and reliable data to drive their success. As a Remote Data Entry Operator, you will play a pivotal role in ensuring that our data remains pristine and ready for analysis.

Responsibilities:

  • Accurately input, update, and maintain large volumes of data into our database systems.
  • Verify and cross-reference data to ensure its accuracy and completeness.
  • Conduct data quality checks and resolve discrepancies in a timely manner.
  • Collaborate with other teams to gather and clarify data requirements.
  • Maintain data confidentiality and adhere to data security protocols.
  • Contribute to process improvement initiatives to enhance data entry efficiency.