Data Analytics Rotational Program — Entry‑Level

John Deere; Grovetown (GA); On-site; USD 86,000 - 89,000; Full time

Benefits offered by this job

Flexible work arrangements

Highly competitive base pay

Savings & Retirement benefits

Healthcare benefits with company HSA

Adoption assistance

Employee Assistance Programs

Tuition assistance

Fitness subsidies and on-site gyms

Charitable contribution match

Employee Purchase Plan

Vacation and Holiday Pay

Job summary

John Deere offers a Data & Analytics Development Program I for new graduates. This full-time role provides three one-year assignments across diverse areas such as Financial Services, IT, Precision Agriculture, and more.

You will rotate through analytics projects using modern tools to build data-driven solutions and stakeholder collaboration. Participants gain exposure to data science and data engineering practices, with an onboarding that aims to fast-track development in a large manufacturing

Qualifications

• Bachelor’s degree or equivalent in a quantitative field.
• GPA of 3.0 on a 4.0 scale or higher is preferred.
• Strong analytical and visualization skills.

Responsibilities

• 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 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.

Education

Bachelor's Degree in Data Science, Analytics, Statistics, Mathematics, Computer Science, Engineering or related quantitative discipline

Tools

Python

SQL

R

Job description

John Deere offers a Data & Analytics Development Program I for new graduates. This full-time role provides three one-year assignments across diverse areas such as Financial Services, IT, Precision Agriculture, and more.

You will rotate through analytics projects using modern tools to build data-driven solutions and stakeholder collaboration. Participants gain exposure to data science and data engineering practices, with an onboarding that aims to fast-track development in a large manufacturing