Top Entry Level Data & Analytics Jobs

Participate in a three-year rotational development program across three John Deere business areas. Apply data science, data engineering, statistical modeling, predictive modeling, visualization, and analytics techniques to business problems. Manage large datasets, support analytics projects, collaborate with stakeholders, and develop expertise with analytics technologies. Assignments are onsite in Illinois or Iowa and require domestic relocation.

Develop analytical solutions and actionable insights from customer, machine, technology, and utilization data. Identify adoption barriers and growth opportunities, quantify impacts on safety and productivity, define performance indicators, and collaborate with engineering, product, commercial, dealer, and field teams to build scalable analytics solutions and customer-engagement strategies.

Develop sophisticated investment and trading models using statistical techniques, machine learning, and real-world datasets. Conduct end-to-end quantitative research, test investment hypotheses, collaborate with engineers, analyze market behavior, and communicate complex findings. Participate in academic seminars, reading groups, and industry conferences focused on statistics, machine learning, and data science.

Administer the Intelex EHSQ system, manage employee onboarding and training records, maintain user and site data, respond to database user requests, analyze safety and system data, create reports, correct data errors, provide training, and improve database processes using SQL and Python.

Build and maintain BI dashboards, reports, curated data models, and analytical datasets. Partner with stakeholders to define KPIs, translate business needs into reporting solutions, validate data accuracy, document metrics, troubleshoot discrepancies, automate recurring reporting, and support data-driven operational insights.

Develop and improve mathematical models for trading strategies, conduct research and statistical analysis in a fast-paced team environment.

Supports data governance across business and technical teams, including critical data element identification, business glossaries, metadata management, data lineage, data quality rules, dashboards, and reporting. Uses Python, SQL, Tableau, and generative AI tools to analyze data, map data flows, monitor data quality, identify anomalies, and automate lineage tracking. Collaborates with data owners, stewards, subject matter experts, architects, developers, and analysts.

Performs foundational GIS and geospatial analysis using ArcGIS, creating and editing layers, aggregating open-source data, and working with vector and raster datasets. Ensures accurate spatial representation according to OGC standards, supports geospatial coding tasks, and collaborates with multidisciplinary analytic teams. Preferred experience includes remote sensing, SAR and electro-optical imagery, Python, SQL, HTML, and additional GIS tools.

Participate in a rotational analyst development program focused on using data and technology to analyze performance trends, identify business opportunities, and support strategic decisions in the insurance industry. Build analytical, technical, business, and communication skills through training, mentorship, and rotational assignments. Use tools such as Excel, SQL, Python, R, SAS, Snowflake, Power BI, and emerging AI technologies.

Maintains the accuracy, completeness, and integrity of customer and prospect data. Responsibilities include auditing and validating records, updating databases, qualifying accounts, analyzing trends, monitoring third-party alerts, supporting lead programs, collaborating with sales and marketing, assisting with training, and ensuring compliance with data privacy and security requirements.