Advanced Analytics Interns

Job Title

Intern, Advanced Analytics

Job Location

Champaign, IL, US

Job Overview

AGCO is seeking a dedicated Data Analytics intern to join our team at AGCO, located in our core AgTech hub. This role is vital in aligning with our Farmer First focus and goals, empowering the agricultural community with data-driven insights. By joining AGCO, you will be part of exciting initiatives that shape the future of farming through technology. Embrace our core values of innovation, collaboration, and integrity, and play a critical role in enhancing our data engineering capabilities. You will gain valuable experience in a dynamic environment that emphasizes growth, contributing directly to making data-backed decision processes more efficient for AGCO business, stakeholders, and product owners.

Compensation

This is a paid, part-time internship for Spring 2024. Students are required to work 15-20 hours per week. Based on performance, this internship can continue across several semesters (i.e., full time in the summer, part-time during the academic school year).

Responsibilities

• Collaborate with cross-functional teams to gather, clean, and analyze complex datasets, focusing on the AgTech industry.
• Develop and maintain robust data pipelines, databases, and ETL processes utilizing Python, SQL, and AWS services.
• Utilize data analytics tools for data cleansing, processing, and transformation to optimize and enhance the quality of datasets.
• Leverage AWS and other technologies to ensure efficient data storage, processing, and access across the organization.
• Communicate effectively with AGCO business units, stakeholders, and product owners, facilitating data-backed decision-making.
• Stay current on industry trends, emerging technologies, and best practices in data engineering and analytics.
• Continuously monitor, evaluate, and adjust data-driven solutions to align with the Farmer First focus and AGCO's core values and objectives.

Requirements

• Currently pursuing a Master's degree in Information Management, Data Science, Computer Science, Engineering, or a related field.
• Decent knowledge of Tableau for data visualization and AWS for data storage and processing.
• Familiarity with data engineering concepts, including ETL processes, database management, and data analytics.
• Ability to understand and work with complex datasets and tools like Python and SQL.

We're excited for you to apply!