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Analytics Data Engineer - 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: Analytics Data Engineer - Remote - 77812 

Onsite/Remote:  

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 Analytics Data Engineer 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.
  • Acquires and connects data attributes to be used to develop analytic products (using Machine Learning methods).
  • Innovates and experiments with new data processing and transformation methods to enable the analytics development process.
  • Transforms data in alignment with data science needs and governance parameters and provides recommendations and testing for production environments.

What Skills You Need

  • 4 or more years experience of advanced data gathering and analysis techniques, including statistical analysis or equivalent.
  • 4 or more years experience with tools used for data management or data warehousing.
  • 4 or more years - Profficiency with programming for data analysis, ideally Python
  • 4 or more years - Experience with analytics/bigdata platforms and/or technologies (e.g. AWS, DataBricks, Spark)
  • 4 or more years - Experience in data visualization tools or application development (e.g. PowerBI, Tableau, R Shiny)

What Makes You Stand Out

  • Experience with Quality and Customer Support
  • Experience with R and SQL
  • Experience in Databricks and the data catalog
  • Knowledge of Cloud technologies such as AWS or Google Cloud
  • Knowledge of User Experience (UX) and/or design
  • Experience with Machine Learning methods

Education

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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