Dexcom is looking to solve the business problem of improving manufacturing efficiency, reducing downtime, and making data-driven decisions on the spot by providing real-time analytics for factories. This involves setting up and configuring data from manufacturing equipment, analyzing production data, and developing interactive data visualizations and asset management processes.
Requirements
- You have a foundational educational background in Engineering, Data Science, Computer Science, or a related scientific discipline, supported by relevant coursework.
- You are eager to learn and can quickly grasp concepts related to time series data and data analysis.
- You bring an aptitude for hands-on technical tasks, especially in real-time analytics.
- JavaScript
- Python
- SQL
- Tableau
Responsibilities
- You will contribute to Digital Factory implementation by setting up and configuring data from manufacturing equipment and other sources.
- You analyze and visualize production data, including OEE, yields, rejects, and faults, using statistical process control and JavaScript and Python programming techniques.
- You design dashboards, visualization screens, and reports in tools like Tableau, leveraging SQL and JavaScript for interactive data representation.
- You manage data warehousing applications and ensure accurate documentation and validation through IQ/OQ test plans.
- You support IBM Maximo development and configuration to enhance asset management processes.
Other
- Must be a currently enrolled student at an accredited college or university in pursuit of a Bachelor’s degree with an expected graduation date of December 2026 or later.
- You have developing skills in project coordination and effective teamwork.
- You demonstrate a willingness to grow, acquiring new job skills and learning policies and procedures to complete routine tasks effectively.
- 0-5%
- Requires a high school diploma/certificate or equivalent.
