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Remote Data Analyst Logistics Jobs in Missouri (NOW HIRING)

Jobgether

$66K - $83K/yr

Our partner is looking for a Senior Games Data Analyst based in Netherlands. This is a senior ... Remote-first working environment. * Competitive salary with individual performance-based bonuses ...

Jobgether

$66K - $83K/yr

This is a fully remote, collaborative environment where autonomy, initiative, and continuous ... Analyze data from tracking systems and other sources to understand user behavior across the full ...

unigroup

Pricing Analyst

Des Peres, MO · On-site +1

Remote. While this is a remote position, occasional on-site attendance may be required as business ... This role is well suited for someone who enjoys working with data, solving complex business ...

Jobgether

$88K - $106K/yr

This is a remote opportunity for an experienced data engineer to play a key role in a large-scale ... You will design, develop, and maintain scalable data solutions that support reliable, analytics ...

Varsity Tutors

Data Analysis Tutor

Columbia, MO · Remote

$18 - $40/hr

We handle the logistics--you just invoice for your tutoring sessions, and we take care of payments. What We Look For In a Data Analysis Tutor * Advanced Subject Mastery: Deep knowledge of data ...

Varsity Tutors

Data Analysis Tutor

Saint Louis, MO · Remote

$18 - $40/hr

We handle the logistics--you just invoice for your tutoring sessions, and we take care of payments. What We Look For In a Data Analysis Tutor * Advanced Subject Mastery: Deep knowledge of data ...

Varsity Tutors

Data Analysis Tutor

Kansas City, MO · Remote

$18 - $40/hr

We handle the logistics--you just invoice for your tutoring sessions, and we take care of payments. What We Look For In a Data Analysis Tutor * Advanced Subject Mastery: Deep knowledge of data ...

Enterprise Holdings

Data Scientist

Saint Louis, MO · On-site +1

ABOUT THE ROLE The Data Scientist is a key driver of innovation, transforming data into actionable ... analytical solutions This position offers the opportunity to work fully remote within the United ...

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Remote Data Analyst Logistics information

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.

What are the key skills and qualifications needed to thrive as a remote data analyst in logistics?

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.

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 remote data analyst logistics in high demand?

Remote data analyst roles in logistics are in high demand due to the increasing reliance on data-driven decision making and supply chain optimization. Skills in data analysis tools like Excel, SQL, and visualization software are highly valued, and the role often offers flexible schedules and remote work options.

Can I work in logistics remotely?

Remote data analyst roles in logistics are increasingly available, especially with the use of data analysis tools like Excel, SQL, and visualization software. These positions often require strong analytical skills and may involve collaboration via online platforms, making remote work feasible for qualified candidates.

Is it possible to work remotely as a remote data analyst logistics?

Remote data analyst logistics roles are increasingly available, allowing professionals to analyze supply chain and transportation data from home. These positions often require proficiency with data analysis tools, such as Excel or SQL, and strong communication skills. Employers may specify remote work options based on company policies and the nature of the logistics tasks involved.

What are popular job titles related to Remote Data Analyst Logistics jobs in Missouri?

For Remote Data Analyst Logistics jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst Logistics jobs in Missouri look for?

The top searched job categories for Remote Data Analyst Logistics jobs in Missouri are:

What cities in Missouri are hiring for Remote Data Analyst Logistics jobs?

Cities in Missouri with the most Remote Data Analyst Logistics job openings:

Remote Data Analyst Logistics jobs near you
Infographic showing various Remote Data Analyst Logistics job openings in Missouri as of July 2026, with employment types broken down into 4% Internship, 67% Full Time, 7% Part Time, and 22% Contract. Highlights an 100% Remote job distribution.

Job Title: Junior Data Analyst

The Giant Bullseye

Saint Louis, MO • Remote

$50K/yr

Full-time

Re-posted 9 days ago

Job description

Job Title: Junior Data Analyst (0–2 Years)

Location: Remote (United States)
Employment Type: Full-Time (W2) or Independent Contractor (1099)
Experience: 0–2 Years
Salary: $50,000 per year
Benefits: None
Visa Sponsorship: Not Available

Job Summary

We are looking for a Junior Data Analyst to collect, analyze, and interpret data to help drive business decisions. This is an excellent opportunity for candidates beginning their careers in data analytics.

Responsibilities
  • Collect, clean, and validate datasets.
  • Build reports and dashboards.
  • Analyze trends and identify business insights.
  • Write basic SQL queries.
  • Create visualizations using Power BI or Tableau.
  • Document findings and present recommendations.
  • Support data quality initiatives.
Required Qualifications
  • Bachelor's degree in Data Analytics, Computer Science, Mathematics, Statistics, or related field.
  • 0–2 years of experience in data analysis.
  • Knowledge of SQL and Microsoft Excel.
  • Familiarity with Power BI or Tableau.
  • Basic Python or R is a plus.
  • Strong analytical and problem-solving skills.