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Remote Data Analyst Logistics Jobs (NOW HIRING)

Apex Informatics

Data Analyst

Data Analyst Location: Remote Duration: 6 Months (Contract) Demonstrated ability to effectively gather requirements, probe for deeper understanding, and translate deep technical concepts to non ...

Futran Tech Solutions Pvt. Ltd.

Data Analyst

CUSTOMER_NAME ESSENTIAL_SKILL Real Title OPEN_POS CONTRACTOR_JC NVIDIA Corporation CDP AI/ML Data Analyst 1 1854662 Location: - Remote is fine - Person has to okey with PST working hours. The ...

NuView

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

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 ...

Ruri Software Technologies LLC

Data analyst

Data Analyst Location : TX/FL/Remote * Minimum 5 yrs experience in Data Analysis work in SQL and NOSQL database Proficiency in Python is plus * Work with the Data Engineering Team to build data ...

New

NuView Analytics

Senior Data Analyst

Denver, CO · Remote

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 ...

Radiance Technologies

Data Analyst

Advanced Trade Analytics Platform (ATAP) Remote (U.S.) Active Top Secret Clearance Required Use Data to Drive Mission Success Radiance Technologies is seeking a Data Analyst to support U.S. Customs ...

Shretech Inc.

Data Analyst

Dallas, TX · On-site +1

Dallas, Tx/ Remote Type: Full-time/ Contract Position Summary We are seeking a detail-oriented and analytical Data Analyst with 3 5 years of experience to collect, analyze, and interpret data to ...

DivIHN

Senior Data Analyst (Remote)

$88K - $111K/yr

Senior Data Analyst (Remote) Duration: 12 Months Location: Remote Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered Work Arrangement * Remote ...

Lockheed Martin

Data Analyst Prin

Fort Worth, TX · On-site +1

In this role, you will ensure that SAP, Enterprise Data Warehouse (EDW), and Logistics Data ... What's In It For You From onsite to remote, we offer flexible work schedules to comprehensive ...

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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.
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Remote Data Analyst Logistics jobs near you
Data Analyst

Data Analyst

Fortress Information Security

Orlando, FL • On-site, Remote

$89K - $127K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Job description

Data Analyst
Location: Remote
Salary Range: $89,501- $127,186 per year, depending on experience and qualifications.
Employment Type: Full-Time
Clearance: Ability to obtain and maintain a Secret U.S. Security Clearance (required)
What you can expect as the Data Analyst at Fortress...
The Data Analyst supports client delivery and internal business operations by developing scalable, accurate, and actionable reporting solutions that help clients assess and manage supply chain risk. This role partners closely with stakeholders across Professional Services, Product, and Engineering to design dashboards, reporting models, and data visualizations. The ideal candidate brings strong SQL and business intelligence expertise combined with a commitment to reporting quality, query performance optimization, and scalable data modeling practices. This is a compelling opportunity for a data professional looking to work independently in a fast-paced remote environment with direct exposure to both commercial and government clients.
Responsibilities Include
  • Develop and maintain dashboards, reports, and visualizations that enable clients and internal stakeholders to make informed supply chain risk management decisions.
  • Design, build, and maintain reporting data models and semantic layers to support scalable analytics and reporting solutions.
  • Write, optimize, and maintain performant SQL queries across relational and NoSQL data sources, including PostgreSQL and MongoDB.
  • Translate stakeholder reporting requirements into intuitive and actionable dashboards and reporting outputs.
  • Create and maintain reporting solutions within Looker and support future business intelligence platform transitions as needed.
  • Aggregate, validate, and analyze data from multiple systems to ensure reporting accuracy and consistency.
  • Automate recurring reporting processes and improve reporting efficiency using scripting languages such as Python or Node.js.
  • Deliver Excel-based reporting outputs and automate refresh processes using ODBC connections where appropriate.
  • Identify, investigate, and assist in resolving data integrity and reporting issues proactively.
  • Maintain high standards for reporting accuracy, dashboard usability, and query efficiency across analytics deliverables.
  • Collaborate with Product and Engineering teams to improve reporting quality, data accessibility, and analytics capabilities.
  • Communicate reporting logic, analytical findings, and technical concepts clearly to technical and non-technical stakeholders.
  • Prioritize and manage multiple reporting requests and deadlines with minimal supervision in a remote work environment.
  • Continuously identify opportunities to improve dashboard usability, reporting automation, and stakeholder adoption.
  • Independently leverage AI-enabled tools and prompt refinement techniques to improve efficiency, reporting quality, analysis, and documentation workflows.

Minimum Qualifications
  • 3+ years of experience developing dashboards and reporting solutions using business intelligence platforms such as Looker, Power BI, or Tableau.
  • Strong experience designing reporting data models and writing complex SQL queries.
  • Experience optimizing SQL query performance and troubleshooting reporting efficiency issues.
  • Experience working with PostgreSQL and MongoDB databases.
  • Experience using Python, Node.js, or similar scripting languages for reporting automation or dataset manipulation.
  • Experience translating business requirements into scalable reporting and visualization solutions.
  • Ability to communicate technical concepts, reporting logic, and analytical findings to non-technical stakeholders.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Demonstrated ability to manage priorities and work independently in a remote environment.
  • Strong attention to detail and commitment to reporting accuracy and data quality.
  • Availability to work primarily during East Coast business hours.
  • Ability to obtain and maintain a Secret U.S. Security Clearance (required).
  • Excellent written and verbal communication skills.

Preferred Skills
  • Advanced experience with Looker and LookML.
  • Experience supporting business intelligence platform migrations or reporting tool transitions.
  • Experience using Jira or similar project tracking tools.
  • Experience improving reporting automation and operational reporting workflows.
  • Ability to balance multiple priorities and stakeholder requests in a fast-paced environment.
  • Familiarity with AI-assisted productivity and analytics workflows.
  • CompTIA Security+ certification or familiarity with cybersecurity and supply chain risk management concepts.

Education
  • Bachelors Degree or equivalent professional work experience required.

Employee Benefits:
  • Competitive pay structure
  • Medical, dental, vision plans with employees covered up to 90% with highly progressive options for dependents and families
  • Company paid life, short- and long-term disability insurance
  • Employee Assistance Program
  • 401(k) match
  • Flexible Paid Time Off
  • Parental Leave

Employment Perks:
  • We provide each employee with professional growth opportunities through succession planning, up-skilling, and certifications
  • Tuition and certification reimbursement
  • Employee Referral Programs
  • Company Sponsored Events

Fortress is proud to be an Equal Opportunity Employer. All employees and applicants will receive consideration for employment without regard to age, color, disability, gender, national origin, race, religion, sexual orientation, gender identity, protected veteran status, or any other classification protected by federal, state, or local law. Fortress Information Security takes part in the E-Verify process for all new hires.
For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will have to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.
Pay Range: $89,501 - $127,186 per year

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