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Data Analyst Logistics Jobs in Minnesota (NOW HIRING)

Senior Deliver Analyst

Saint Louis Park, MN · Hybrid

$94K - $125K/yr

... logistics. This position partners closely with cross-functional teams to deliver actionable insights, optimize replenishment strategies, and support business planning through advanced data analysis ...

Senior Deliver Analyst

Robbinsdale, MN · Hybrid

$90K - $119K/yr

... logistics. This position partners closely with cross-functional teams to deliver actionable insights, optimize replenishment strategies, and support business planning through advanced data analysis ...

Senior Deliver Analyst

Golden Valley, MN · Hybrid

$91K - $120K/yr

... logistics. This position partners closely with cross-functional teams to deliver actionable insights, optimize replenishment strategies, and support business planning through advanced data analysis ...

Financial Analyst

Eagan, MN · On-site

$75 - $110/hr

We're looking for someone who enjoys solving complex business problems, can turn data into ... Industry ExperienceTransportation, logistics, or trucking experience is not required. We value ...

Senior Deliver Analyst

Columbia Heights, MN · Hybrid

$89K - $118K/yr

... logistics. This position partners closely with cross-functional teams to deliver actionable insights, optimize replenishment strategies, and support business planning through advanced data analysis ...

Senior Deliver Analyst

Lauderdale, MN · Hybrid

$90K - $119K/yr

... logistics. This position partners closely with cross-functional teams to deliver actionable insights, optimize replenishment strategies, and support business planning through advanced data analysis ...

Senior Deliver Analyst

Minneapolis, MN · Hybrid

$91K - $121K/yr

... logistics. This position partners closely with cross-functional teams to deliver actionable insights, optimize replenishment strategies, and support business planning through advanced data analysis ...

Senior Deliver Analyst

Minneapolis, MN · On-site

$91K - $121K/yr

... logistics. This position partners closely with cross-functional teams to deliver actionable insights, optimize replenishment strategies, and support business planning through advanced data analysis ...

Inventory Control Analyst

Esko, MN · Hybrid

$57K - $86K/yr

This position collaborates closely with logistics, procurement, category management, and hospital ... Solid understanding of Master Data and Databases, Warehouse Management Systems (WMS), and ...

... for data analysis * Experience building or implementing automation or AI‑enabled solutions * Strong analytical mindset and attention to detail * Familiarity with transportation, logistics, or ...

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

$35/hr

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

Showing results 41-60

Data Analyst Logistics information

See Minnesota salary details

$33.3K

$80.9K

$133.2K

How much do data analyst logistics jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data analyst logistics in Minnesota is $80,939.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,200.00 and $95,000.00 per year, depending on experience, location, and employer.

What is a data analyst logistics?

A Data Analyst Logistics job involves analyzing supply chain and transportation data to improve efficiency, reduce costs, and optimize operations. Analysts collect, process, and interpret large data sets related to shipping, inventory, and demand forecasting. They use data visualization, statistical models, and analytical tools to identify trends and make data-driven recommendations. The role requires skills in SQL, Excel, and data visualization tools like Tableau or Power BI. Strong problem-solving and communication skills are also essential for conveying insights to stakeholders.

What are the key skills and qualifications needed to thrive in the data analyst logistics position?

To thrive as a Data Analyst Logistics, you need strong analytical skills, proficiency in data management, and a background in supply chain or logistics, often supported by a relevant degree. Familiarity with tools like SQL, Excel, Python, and logistics management systems (such as SAP or Oracle), along with certifications in supply chain analytics, are commonly required. Excellent problem-solving abilities, attention to detail, and clear communication skills help you interpret complex data and relay actionable insights to cross-functional teams. These skills are vital for optimizing logistics operations, improving efficiency, and supporting data-driven decision-making within the supply chain.

What types of teams or departments do data analyst logistics professionals typically collaborate with?

Data Analyst Logistics professionals commonly work closely with supply chain, warehouse operations, procurement, transportation, and IT teams to analyze and optimize logistics processes. They may be involved in cross-functional projects, often acting as a bridge between technical data sources and operational staff to implement process improvements or resolve bottlenecks. Collaboration is key, as logistics analysts need to understand diverse business needs and communicate findings effectively to both technical and non-technical stakeholders. This teamwork ensures smooth data flow and helps organizations achieve more efficient and cost-effective logistics operations.

Are data analyst logistics in high demand?

Data analyst roles in logistics are in high demand due to the increasing reliance on data-driven decision making in supply chain management. Skills in data analysis tools like Excel, SQL, and visualization software are often required, and the role offers opportunities across various industries focused on optimizing logistics operations.

What are the most commonly searched types of Data Analyst Logistics jobs in Minnesota?

The most popular types of Data Analyst Logistics jobs in Minnesota are:

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

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

What cities in Minnesota are hiring for Data Analyst Logistics jobs?

Cities in Minnesota with the most Data Analyst Logistics job openings:

Infographic showing various Data Analyst Logistics job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $80,939 per year, or $38.9 per hour.

AI and Solutions Development Analyst

Advatix, Inc.

Minneapolis, MN • On-site

Full-time

Re-posted 22 days ago


Job description

AI and Solutions Development Analyst
HRforGrowth® is engaged as the talent acquisition partner to conduct this search on behalf of a client organization that is hiring for this role. HRforGrowth is not the employer for this position. HRforGrowth identifies, evaluates, and presents top-tier candidates through its global talent acquisition practice; all employment decisions - including final selection, offer terms, compensation, and conditions of employment - are made solely by the hiring organization.
Role Summary
The AI and Solutions Development Analyst supports the company's growth by combining customer-facing supply chain consulting with internal analytics and AI-driven capabilities. This role works directly with customers to assess their supply chain operations, diagnose inefficiencies, and develop tailored logistics solutions-while also building the internal tools, dashboards, and automation delivery smarter and more competitive.
The Analyst partners closely with Sales, Customer Success, Operations, and IT to design solutions, support business development efforts, and drive continuous improvement across platforms. This is a dual-impact role: externally, it positions the company as a consultative logistics partner; internally, it accelerates AI and analytics transformation.
Key Results Area
  • Customer Solution Development & Consulting
    • Conduct on-site and virtual supply chain assessments for prospective and existing customers, including facility visits, stakeholder interviews, and freight flow analysts
    • Evaluate customer supply chain networks and recommend improvements to optimize cost, service levels, and operational efficiency
    • Design tailored logistics solutions leveraging the company's full-service portfolio: truckload, LTL, warehousing, parcel, international, and managed logistics
    • Build financial models, cost-benefit analyses, and ROI frameworks to support customer business cases
    • Develop customer-facing proposals, executive presentations, and solution documentation that communicate recommendations clearly
    • Support enterprise sales opportunities by providing solution design expertise and operational feasibility analysis
  • Sales Enablement & Account Support
    • Partner with Sales and Business Development teams on RFPs, pricing strategies, and complex customer opportunities
    • Provide consultative supply chain expertise during customer discovery calls, business reviews, and solution presentation
    • Lead or support RFP/bid responses, including coordination of solution design, pricing, and supporting documentation
    • Identify opportunities to expand services within existing customer accounts
    • Develop case studies and best practice documentation to support the broader sales team
  • Analytics, Dashboards, and Reporting
    • Build and maintain Power BI dashboards that provide customers and internal teams with real time visibility into supply chain performance and KPIs
    • Analyze freight, routing, service levels, and cost data to surface actionable optimization opportunities for customers and operations
    • Develop predictive models to improve demand planning, capacity forecasting, and cost management
    • Track and report on post-implementation results to demonstrate measurable value delivered to customers
  • AI Tools & Internal Automation
    • Identify manual workflows - both customer-facing and internal - that can be automated and build or prototype solutions
    • Design and deploy AI-powered tools and intelligent agents that support sales, operations, and customer analytics teams
    • Integrate AI capabilities with existing platforms including HubSpot, Revenova TMS, Extensive WMS, and Power BI
    • Collaborate with the internal AI Innovation Analyst and the IT team to scale solutions that work across the organization
  • Systems, Data Pipelines, and Continuous Improvement
    • Build data pipelines that connect internal systems and eliminate manual data-wrangling processes
    • Enhance integration between Salesforce/HubSpot, TMS, WMS, and BI platforms to improve data quality and accessibility
    • Stay current on supply chain technology trends, AI developments, and logistics innovations to inform clients on service offerings
    • Identify opportunities to improve internal systems and processes and lead these improvement initiatives

Skills & Qualifications
  • Bachelor's degree in Supply Chain, Logistics, Business Analytics, Data Science or a related field is required
  • Minimum of 2 years of experience in supply chain consulting, logistics analytics, or 3PL operations
  • Demonstrated ability to conduct customer-facing assessments and deliver formal recommendations
  • Working knowledge of SQL and Python for data analysis
  • Experience building dashboards or reports in Power BI, Tableau, or similar tools
  • Familiarity with AI development, automation tools, or machine learning applications
  • Strong communication and presentation skills; comfortable presenting to senior-level stakeholders
  • Prior background in freight brokerage, 3PL, or managed logistics environments preferred
  • Track record of quantifying and presenting cost savings or efficiency improvements to customers
  • Willing to travel to customer sites as needed, estimated 10-20% travel
  • Comfortable being exposed to warehousing and trucking environments on a regular basis

About HRforGrowth:
HRforGrowth is a full-service HR and talent partner built to support companies that are scaling, transforming, or navigating change. HRFG is globally recognized for delivering quality, speed, and cost-effective talent solutions across every level of the workforce. Through its global talent acquisition practice, HRforGrowth applies world class rigor and precision to identifying exceptional professional and executive talent on behalf of its clients - from temporary staffing to permanent hourly workers through to placing C-suite executives. HRforGrowth is presenting this opportunity in its capacity as the retained search partner and does not serve as the employer of record for this position.
Equal Employment Opportunity:
In its recruiting and search practices, HRforGrowth does not discriminate on the basis of race, color, religion, national origin, age, marital status, physical or mental disability, sex, sexual orientation, gender, or gender identity, and welcomes applications from all qualified individuals. HRforGrowth evaluates and presents candidates to its clients without regard to any protected characteristic.
HRforGrowth endeavors to advise the hiring organization to comply with all applicable federal, state, and local equal employment opportunity laws - including those enforced by the U.S. Equal Employment Opportunity Commission (EEOC) - in its hiring decisions, terms of employment, and workplace practices.