Data & Analytics Development Program II - 2026a at John Deere

Moline, Illinois, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Feb, 26

Salary

102480.0

Posted On

15 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Analytics, Statistics, Mathematics, Computer Science, Engineering, Python, SQL, R, Statistical Analysis, Modeling Techniques, Data Visualization, Algorithms, Predictive Models, Data Engineering, Business Problems

Industry

Machinery Manufacturing

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. Primary Location: United States; Moline, IL or Des Moines, IA Function: Data and Analytics (CA) Title: Data & Analytics Development Program II - 2026a - 116700 Major Purpose 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. Major Duties 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 Work Statement: US Visa sponsorship is not available for this position. Do you have what it takes? Bachelor’s, 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). This position will be posted for a minimum of 7 business days and unposted when a qualified pool of candidates is achieved. If you are moving to an area where housing and general expenses are significantly more expensive than at your departure location, the Company may provide a transitional benefit to help offset these costs for a specified period of time as a part of the relocation package. The Company will notify employees of their eligibility for this benefit based on a calculation provided by Runzheimer International. The calculation is based on a comprehensive assessment of all living cost variables and specific individual characteristics. 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. Annual Salary based on published rates and education/experience level is $100,740-$102,480.

Responsibilities

The Data & Analytics Development Program involves rotating through three one-year-long assignments across various functional areas. Participants will build a network, gain expertise in analytics technology, and lead key analytics projects.