Data & Analytics Development Program II

Posted 3 Hours Ago
Be an Early Applicant
Moline, IL, USA
Hybrid
102K-103K Annually
Entry level
Artificial Intelligence • Cloud • Internet of Things • Machine Learning • Analytics • Industrial
We Run for ALL
The Role
Participate in a three-year rotational development program across John Deere business areas. Apply data science, data engineering, statistical analysis, predictive modeling, visualization, and programming techniques to solve business problems. Manage large datasets, support analytics projects, collaborate with stakeholders, and build expertise in analytics technologies while completing three one-year assignments.
Summary Generated by Built In

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, including disabled & veterans.

 

Primary Location: United States (US) - Illinois  - Moline, IL  
Function: Data and Analytics (CA)
Title: Data & Analytics Development Program II - 122685
 
Onsite/Remote:Onsite Position


  

 

Your Responsibilities

The Data & Analytics Development Program is a full-time position for new or recent graduates interested in working as a Data Scientist, Data Engineer or BI Analyst. This provides an accelerated development experience during the first 3 years of employment in the company, through 3 one-year-long work assignments. Employees rotate across varied functional areas such as Financial Services, IT, Precision Agriculture, Customer & Product Support, Sales & Marketing, Engineering or others.

 

 

What will you do? 

 

  • Build a network of contacts across 3 different areas of John Deere’s business
  • Gain expertise using the latest analytics technology & tools
  • Learn and apply appropriate data science and data engineering techniques to solve business problems  
  • Lead and/or support key analytics projects
  • Manage and work with large, diverse data sets 
  • Collaborate with data and analytics colleagues as well as key business stakeholders

 

US Visa sponsorship is not available for this position.

What Skills You Need

Do you have what it takes?

  • Master’s or PhD Degree in Data Science, Analytics, Statistics, Mathematics, Computer Science, Engineering or related quantitative discipline
  • Desired cumulative GPA of 3.0 on a 4.0 scale
  • Experience with applied statistical analysis, modeling techniques, and data visualization methods.
  • Proficiency in programming languages Python, SQL, R.
  • Ability to demonstrate your development of algorithms and predictive models to solve a problem.
  • Must pass a Data & Analytics technical assessment and code pairing interview.

 

 Must be able to relocate domestically. Assignments will be onsite in the Quad Cities area (Moline, IL/ Davenport, IA), or the Des Moines area (Urbandale, IA /Johnston, IA).

 

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 
  • Savings & Retirement benefits (401K and Defined Contribution)
  • 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
  • Vacation and Holiday Pay

101,760 - 103,440 + Benefits


Follow this link to learn more about our Total Rewards Package https://bit.ly/3XCd8fL 

 

Must be 18 years of age or older to apply

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, 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.


Skills Required

  • Master's or PhD degree in Data Science, Analytics, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative discipline
  • Cumulative GPA of 3.0 on a 4.0 scale
  • Experience with applied statistical analysis, modeling techniques, and data visualization methods
  • Proficiency in Python, SQL, and R
  • Ability to develop algorithms and predictive models to solve problems
  • Pass a Data and Analytics technical assessment and code pairing interview
  • Ability to relocate domestically
  • Must be at least 18 years of age

John Deere Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about John Deere and has not been reviewed or approved by John Deere.

  • Healthcare Strength — Health coverage is described as comprehensive, with union‑represented employees retaining high‑value plans with no premiums or deductibles under the 2021–2027 agreement. Company materials also highlight broad medical options, wellness resources, and inclusive care navigation.
  • Retirement Support — The package includes a 401(k) with company match and, for many represented roles and some salaried groups, access to a defined‑benefit pension. Contract updates and company filings indicate sustained retirement programs with enhancements for covered employees.
  • Leave & Time Off Breadth — Paid vacation scales up to five weeks with additional holidays, and some units allow purchasing extra time off. Materials also reference paid parental and caregiver leave alongside flexible work arrangements where roles allow.

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The Company
HQ: Moline, IL
69,000 Employees
Year Founded: 1837

What We Do

Life can’t evolve without innovation. That’s why we’re ideating to help feed the planet, build smarter, and help our farmers and growers to sustainably optimize their land. The mission is underway, but we need the right people to continue bringing it to life. From coders to assemblers and from engineers and tech experts to marketers and field teams. All find a purpose to drive them, a culture to thrive in, and a world of opportunities.

Why Work With Us

Our company is more than just a place to work. For John Deere employees, it’s where we dream, design, and deliver machines and technology that help feed a rapidly growing world and build critical infrastructure in villages, towns and modern megacities.

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