About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Transportation, Logistics, Supply Chain and Storage.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

Confidential Client is seeking a Data Analyst who transforms raw data into actionable insights to inform operational and strategic decisions across logistics and supply chain operations.

• Analyze complex, multi-source datasets to identify trends, root causes, and improvement opportunities.
• Extract, clean, validate, and prepare data for analysis; maintain strong data integrity practices.
• Build, maintain, and optimize dashboards and reports using BI tools (Power BI, Tableau, etc.).
• Use SQL and scripting (Python/R recommended) to develop repeatable analyses and data models.
• Perform quality assurance, validation, and user acceptance testing (UAT) for reporting solutions.
• Partner with cross-functional teams and leadership to translate findings into clear, data-driven recommendations.
• Serve as a subject matter expert for reporting best practices and help stakeholders interpret metrics.
• Stay current with analytics tools and techniques; integrate new methods (including Gen AI workflows) when appropriate.

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Key Responsibilities

• Deliver proactive analyses that influence operational improvements and strategic direction.
• Design visualizations and data models that solve business problems and drive measurable outcomes.
• Maintain technical documentation, data dictionaries, and reporting standards.
• Consult with internal teams to align analytics deliverables to business needs.
• Support and enhance existing BI assets to ensure performance and accuracy.

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Qualifications

Required

• High School Diploma or GED
• Minimum 2 years of analytics experience building business solutions from comprehensive data assets

Preferred

• Bachelor’s degree from an accredited college or university
• Intermediate proficiency in SQL (T-SQL, Snowflake, etc.)
• Experience with BI tools (Power BI, Tableau)
• Programming experience (Python, R, or similar)
• Advanced Excel skills and strong MS Office proficiency
• Foundational knowledge of statistics and data modeling
• Strong testing, validation, and data integrity mindset
• Clear communicator; experience liaising between technical teams and business partners
• Comfortable working autonomously and proactively learning new tools (including Gen AI)
• Logistics or supply chain experience a plus
• Values a diverse and inclusive work environment

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Compensation & Benefits

• Base pay range for Eden Prairie, MN: $58,000.00 - $91,800.00 (base pay only; individual pay is based on skills, experience, and education)
• Competitive benefits package including medical plans, prescription coverage, HSA, dental & vision, life and disability insurance, paid holidays, flexible time off options, parental leave, 401(k) with company match, employee stock purchase plan, and career development resources.

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Why You’ll Like This Role

• Meaningful impact on operational performance across a large logistics network.
• Opportunity to develop both technical skills (BI, SQL, Python) and business partnering capabilities.
• Collaborative environment with emphasis on continuous learning and inclusion.
• Exposure to modern analytics tools and the chance to help scale analytics across the organization.

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About the Industry

This role supports work in Transportation, Logistics, Supply Chain and Storage. You’ll be helping drive improvements in routing, capacity planning, and network operations using quantitative insights.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.