Find Jobs

Find Jobs Near You – Available Work in Your Location

Skip to job details

Back to Results

Apply for this opportunity

To apply for this job, you'll continue to an external website or email application.

Apply Offsite

John Deere

Data & Analytics Development Program I

Entry-Level JobVerifiedNo experience needed

Pay: Not specified

Posted: 6 days ago

Location: Moline, IL (Onsite)

Last Updated: 6 hours ago

Hours: Full-Time

Expires: 10/15/2026

Career Insights for Data Analyst

See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.

Scorecard

Based on Illinois data

Review key factors to help you decide if this role fits your goals. How is this calculated?

Were these scores useful?

What they do

A Data Analyst develops computer programs to analyze large customer information databases for companies and organizations. Analyzes data to identify patterns and provide information relevant to a particular business, industry or field; analysis may be used for marketing, or to detect fraud in financial transactions, or for research. Develops computer programs to protect confidential customer information.

$79,826 / year median in Illinois

+13% projected growth

Explore Career

Job Description

Title:

Data & Analytics Development Program

I - 122676

Onsite/Remote:

Onsite Position 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? 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 Bachelor's 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 Knowledge of 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.