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Data Wrangler - Remote

Date: Oct 23, 2021

Location: Illinois, US

Company: John Deere

At John Deere, we run so life can leap forward. This powerful purpose is our promise to humankind that we will dream, design and deliver breakthrough products that sustain our world for generations to come. The world is counting on us to feed billions of people and build vital infrastructures in villages, towns, and megacities. We live up to the legacy our founder forged in a one-room blacksmith's shop nearly two centuries ago by creating a culture that brings out the best in all of us. A culture where great ideas thrive because every voice is heard.


Primary Location: United States (US) - Illinois  -   
Function: Data Science & Analytics
Title: Data Wrangler - Remote - 77815 


Your Responsibilities

This position is eligible for remote work at the present time. The arrangement may be delayed for training or other job acclimation purposes and remains subject to change.

As a Data Wrangler for the Enterprise Quality Analytics Team located in Moline, Illinois – Fully Remote, you will lead the organization in identifying & prioritizing actionable insights for design and reliability engineering through a deep understanding of customer facing data and analytic techniques.

  • Collaborate with a team of analytics professionals to design, build, and continuously improve meaningful customer-based analytics.
  • Organize and clean the data to remove quality issues, combines data sources, and provides relevant information which may include developing samples used to create analytics models or reports.
  • Works on new data provisioning solutions, explores new ways of organizing data, and focuses on developing sustainable data usage for designated stakeholders including access, costs, and organization processes.
  • Supports data governance activities by acting as a data steward or custodian of certain data elements.

What Skills You Need

  • 4 or more years of experience data wrangling or equivalent (Structuring, Cleaning and Validating data)
  • 4 or more years - Knowledge of advanced data gathering and analysis techniques, including statistical analysis
  • 4 or more years - Programming skills necessary to create and maintain applications.
  • 4 or more years - Basic Knowledge of statistical analysis, economics and trend forecasting.

What Makes You Stand Out

  • Experience with Quality and Customer Support
  • Experience in Databricks and the enterprise data catalog (EDL)
  • Knowledge of Cloud technologies such as AWS or Google Cloud
  • Understanding of machine-learning and operations research



Ideally you will have a degree or equivalent related work experience in the following:

  • Bachelor’s Degree in a quantitative field (e.g. mathematics, computer science, engineering, statistics, analytics, and/or 6 years of related experience



What You'll Get


At John Deere, you are empowered to create a career that will take you to where you want to go. Here, you'll enjoy the freedom to explore new projects, the support to think outside the box and the advanced tools and technology that foster innovation and achievement. We offer comprehensive relocation and reward packages to help you get started on your new career path. Click here to find out more about our Total Rewards Package.


The information contained herein is not intended to be an exhaustive list of all responsibilities and qualifications required of individuals performing the job. The qualifications detailed in this job description are not considered the minimum requirements necessary to perform the job, but rather as guidelines. 


An Equal Opportunity Employer, John Deere requires a diversity of people, perspectives and ideas to address the complex challenges of its global business.  John Deere is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, color, national origin, sex, age, sexual orientation, gender identity, status as a protected veteran, or status as a qualified individual with disability.





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