Software Analytics Co-op

Description

This is a 2027 Kettering University co-op with the software team at the company, working on analytics for warehouse automation systems used by customers worldwide.

You will join experienced software and analytics staff to build dashboards, analyze data, test solutions and debug technical problems with SQL, Python, visualization platforms and cloud tools. The team is looking for someone curious, who enjoys learning new technologies and building things that matter.

Responsibilities

• Work with software engineers, data analysts and other technical staff on real problems, using data to find answers.
• Build hands-on skills in analytics, dashboards, databases, cloud technology and warehouse automation on projects that real customers rely on.
• Apply what you learn in class to large automated distribution and manufacturing sites.
• Meet with engineers, analysts and business partners to understand problems and shape them into practical analytics solutions.
• Help design, build, test and improve dashboards, reports and other data-driven applications.
• Query and analyze data with SQL, Google BigQuery or Microsoft SQL Server.
• Use visualization tools such as Power BI, Tableau or Looker to turn data into useful insights.
• Learn how data flows through automated warehouse and material handling systems and how to use it to improve operations.
• Test and validate analytics solutions so results are accurate before customers use them.
• Take part in requirements discussions, technical design sessions, troubleshooting and solution reviews.
• Document your work and explain findings to both technical and non-technical colleagues.
• Work within a multidisciplinary engineering team while owning your own assignments.
• Gain exposure to cloud platforms, modern data architectures and large-scale industrial automation systems.

Requirements

• Currently enrolled in a bachelor's degree program at Kettering University, preferably in Computer Science, Computer Engineering, Data Science, Applied Mathematics or a related technical field.
• Basic experience with SQL and relational databases.
• Experience with Python for data analysis, automation or application development, or a strong interest in learning it.
• Interest in using data to spot trends, investigate problems and develop solutions.
• Strong problem-solving skills and willingness to tackle unfamiliar technical challenges.
• Clear written and verbal communication, including explaining technical ideas simply.
• Experience on team-based programming, engineering or analytics projects through coursework, extracurricular activities or earlier co-ops.
• Desire to learn, experiment, ask questions and build things that solve real problems.
• Optional: familiarity with Power BI, Tableau or Looker.
• Optional: exposure to cloud technology, data engineering, APIs or modern software development.
• Optional: interest in automation, robotics, material handling equipment, manufacturing, logistics or supply chain technology.

Conditions

Students at any stage of their co-op are encouraged to apply.

Base pay is estimated at $19.00-$23.00 at the time of posting. Final pay depends on factors such as work location, education, experience, knowledge and skills.

The company's equal-opportunity policy covers all employment decisions, including hiring, placement, pay, training, leave and termination.

Benefits

• Competitive pay and benefits.
• Pay transparency.
• Global opportunities.
• Hands-on work with real production data and customer-facing engineering solutions.
• Experience with modern analytics, cloud and data technologies.
• Work with software and data produced by automated warehouse systems.
• Build skills in SQL, Python, visualization, data analysis and software engineering.
• Take part in the full life cycle of a solution, from understanding the problem through development, testing, validation and delivery.
• Mentoring and collaboration with experienced software, analytics and automation engineers.
• Real project ownership rather than observation or administrative tasks.