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Part-Time Data Analyst
2 weeks ago
About Us
">At John Deere, we're dedicated to providing innovative solutions that meet the changing needs of our customers. Our mission is to ensure there's enough food, fiber, and infrastructure for a rapidly growing world. To achieve this, we invest in our people and technology like never before.
">Salary and Benefits
">We offer a comprehensive rewards package to help you get started on your new career path, including highly competitive base pay and performance bonuses. In addition, we provide flexible work arrangements, healthcare benefits, and savings & retirement plans.
">Job Description
">We're seeking a Part-Time Student Data Science and Analytics expert to join our team. As a member of our Intelligent Solutions Group, you'll lead and support key analytics projects, utilizing advanced data techniques to extract insights from large datasets. You'll collaborate with cross-functional teams to deliver data-driven solutions that drive business growth.
">Requirements
">- ">
- Pursuing a degree in Agriculture, Computer Science, Data Analytics, Data Science, Engineering, Math, Statistics, or a related quantitative field;">
- Must be registered as a full-time student at a university;">
- Available to work during the academic year (16-20 hours/weekly) and summer semester (32-40 hours/weekly);">
- Proficient in Python or R programming language;">
- Familiarity with applied statistical analysis, modeling techniques, and data visualization methods;">
- Experience with Data Engineering and analyzing large-scale geospatial data;">
- Knowledge of Large Language Models (LLMs).">
Benefits
">As a member of our team, you'll enjoy a range of benefits, including:
">- ">
- Flexible work arrangements;">
- Competitive base pay and performance bonuses;">
- Savings & retirement benefits;">
- Healthcare benefits with a generous company contribution in the Health Savings Account;">
- Employee Assistance Programs.">
Job Responsibilities
">Your responsibilities will include:
">- ">
- Leading and supporting key analytics projects;">
- Utilizing advanced data techniques to extract insights from large datasets;">
- Collaborating with cross-functional teams to deliver data-driven solutions.">
Why Join Us
">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.