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Open nowPosted today

Supply Chain Data & Analytics Intern

Vanderlande205 open roles

Where
Remote United States of America
Work mode
Remote
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Your applicationOpen nowSupply Chain Data & Analytics InternVanderlande · Remote United States of America

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Vanderlande's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. Vanderlande postings stay open a median of 20 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted today

Vanderlande median: 20 days open

The posting

Job Title

Supply Chain Data & Analytics Intern

Job Description

Vanderlande is seeking a talented, business-minded college student to join our Supply Chain Center for North America. As an Intern you will be engaged with developing data & analytics solutions for the Supply Chain organization. As an Intern you will be exposed to data analytics application development along with being given a number of specific tasks / projects to elevate your knowledge of Supply Chain, the ways of Vanderlande and to help identify opportunities for continuous improvement.

Basic Qualifications

  • Currently at least a Sophomore or Junior in an undergraduate bachelor’s degree program
  • Available to work up to 20 hours per week and complete entire assignment.

Preferred Qualifications:

  • Majoring in Industrial Engineering, Computer Science, Mathematics, Statistics, or Business Analytics

Requirements:

1. Proficient in Python; familiar with SQL and data visualization tools like Tableau or Power BI.

2. Solid grasp of statistical analysis and probability.

3. Experience in data preprocessing and cleaning.

4. Strong analytical, problem-solving, and communication skills.

Responsibilities:

1. Collaborate with data professionals to develop analytics projects utilizing departmental standards

2. Ensure solutions meet customer requirements by partnering with business units.

3. Collect and clean data, correcting errors or inconsistencies.

4. Develop digital products according to department data management and visualization standards.

5. Present solutions to the digital team and business units, and train end users.

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  2. 25 readers review it

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    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Vanderlande's form

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  4. Every reply, sorted

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