John Deere

Analytics Data Engineer

Job description

There are over 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we're all about at John Deere. And it's why we're investing in our people and our technology like never before! Here the world's brightest minds are tackling the world's biggest challenges. If you believe one person can make the world a better place, we'll put you to work. RIGHT NOW.


John Deere is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to, among other things, race, religion, color, national origin, sex, age, sexual orientation, gender identity or expression, status as a protected veteran, or status as a qualified individual with disability.


Primary Location: United States (US) - Illinois - Chicago, IL


Function: Data & Analytics (CA)


Title: Analytics Data Engineer - 92801


Onsite/Remote:Partial Remote Position


The primary onsite location for this position is in Chicago IL at our Technology Center (Fulton Market). Alternately, it can be based at our Headquarters in Moline IL.


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


Visa sponsorship is NOT available for this position


Your Responsibilities


As an Analytics Data Engineer within the Enterprise Aftermarket & Customer Support (A&CS) Data & Analytics Organization, you will develop, deploy, maintain, and continuously improve aftermarket analytics data products. These analytics data products deliver insights to end-users and/or production applications which help drive aftermarket growth and an improved customer experience over the lifetime. More specifically, you will follow the Aftermarket Analytics Delivery Process in order to:
  • Develop proof-of-concept projects into robust production data products, ensuring:
    • Processing efficiency at scale
    • Clean, concise, organized, and comprehensible code
    • Thorough validation and reliable output
    • Clear and useful documentation of the end product
  • Lead code review and design review activities to verify and demonstrate high-quality output for new or revised analytics data products
  • Execute deployment, support, maintenance, and continuous improvement projects related to one or more analytics data products
  • Proactively identify innovative improvement ideas and actively participate in strategic roadmap planning related to analytics data products


What Skills You Need


  • 1 or more years of experience of advanced SQL programming
  • 1 or more years of experience with a business intelligence visualization tool (e.g. Tableau)
  • 1 or more years of experience working with data, database design, administration and performance
  • Skill in interpersonal communications and ability to communicate complex topics to non-technical audiences


What Makes You Stand Out


  • 1 or more years of experience with a statistical programming language (R, Python or similar)
  • Experience using Spark
  • Experience using Databricks
  • Knowledge of dealers, products, customers, markets, and companies in the heavy equipment industry
  • Advanced understanding of dealer channel aftermarket processes, digital solutions, and metrics


Education


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


  • BS degree or equivalent experience in a related career field


What You'll Get


At John Deere, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. 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. Additionally, we offer a comprehensive reward package to help you get started on your new career path, including:


  • Flexible work arrangements
  • Highly competitive base pay and performance bonuses
  • Savings & Retirement benefits (401K and Defined Benefit Pension)
  • Healthcare benefits with a generous company contribution in the Health Savings Account
  • Adoption assistance
  • Employee Assistance Programs
  • Tuition assistance
  • Fitness subsidies and on-site gyms at specific Deere locations
  • Charitable contribution match
  • Employee Purchase Plan & numerous discount programs for personal use


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.


The terms of the applicable benefit plans, and all company actions administering or interpreting these plans, continue to control. Deere & Company reserves the right to suspend, amend, modify, or terminate the Plan(s) in any manner at any time, including the right to modify or eliminate any cost-sharing between the company and participants. Changes, which can be made at any time, are made by action of the company's board of directors, or to the extent authorized by resolution of its board of directors, or by the Deere & Company Compensation Committee. In the event of a conflict between the language of the official Plan Documents and this document, the language of the official Plan Documents will control.


ACA Section 1557 Nondiscrimination Notice


The John Deere Health Benefit Plans for Salaried Employees and The John Deere Benefit Plan for Wage Employees comply with applicable Federal civil rights laws and do not discriminate on the basis of race, color, national origin, age, disability, or sex.


Nearest Major Market: Chicago


Job Segment: Analytics, Database, Business Intelligence, Engineer, SQL, Technology, Management, Engineering

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