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Internship - Responsible Sourcing

Employer
Tiffany & Co.
Location
New York, New York, United States
Closing date
8 Mar 2023

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Function
Marketing
Level
Intern
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Tiffany has ambitious goals for traceability which are supported by the recently implemented data platform, SupplyShift. The platform collects data from suppliers, and their suppliers, to ensure we have the traceability we need to make our Sustainability claims. The platform has analytics and comparisons that will be useful data for the sourcing team leads however it requires some set up. We are looking for someone who can make this large set of data more accessible, understandable and usable to other parts of the business. The ultimate goal is delivering the data in a useful and appealing way to multiple users based on their business needs.

Dates: This position will begin on June 5th and end on August 11th. Candidates should be available to work for the entire 10-week program.

Location: This position is a hybrid role that is based out of our New York City corporate office.

Salary: Compensation for this position is $25 per hour working a total of 40 hours per week.

Key Accountabilities
  • Understand SupplyShift platform and the data being collected
  • Understand the needs of the sourcing team leads
  • Understand what data can be pulled for annual Sustainability reporting
  • Set up analytics and comparisons for reporting to various teams

Required Qualifications
  • Excellent analytical skills using statistical techniques and providing reports
  • Identifying, analyzing, and interpreting trends or patterns in complex data sets with a focus on the ‘big picture'
  • Critical thinking: able to look at numbers, trends, and data and come to new conclusions based on the findings
  • Communication skills, both written and oral
  • Attention to detail
  • Fluency with PowerPoint and Excel.
  • Creating and editing visual content including maps, charts, and graphs.
  • Transforming data sets, quantitative and qualitative analysis into compelling visuals.

Preferred Qualifications
  • Locating and defining new process improvement opportunities
  • Expertise with data visualization techniques
  • Fluency with other data visualization programs
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