Data Analytics Engineering Co-Op (Summer/Fall) (Onsite)

RTXCedar Rapids, IA
1d$37,000 - $82,000Onsite

About The Position

We are seeking a motivated and detail-oriented Data Analytics Co-op to join Avionics Operations Technology and Development. As a co-op, you will have the opportunity to work on real-world projects that contribute to the efficiency and effectiveness of our operations. This position will provide you with valuable hands-on experience in data analytics within the aerospace and defense industry. Immerse yourself in a full-time, Monday-Friday co-op session, that will run January-August (including the Spring semester; it is expected students will take a semester off from coursework to fully engage with this working mentorship opportunity).

Requirements

  • Requires a High School Diploma or equivalent and student must be pursuing a Bachelor’s or advanced degree in an applicable discipline.
  • U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract

Nice To Haves

  • Proficiency in tools such as Python, R, SQL, or other programming languages for data analysis.
  • Experience with data visualization tools like Tableau, Power BI, or similar platforms.
  • Familiarity with statistical concepts, data modeling, and predictive analytics.
  • Strong problem-solving skills and the ability to work independently and collaboratively in a team environment.
  • Excellent communication skills, with the ability to translate complex data into actionable insights for non-technical audiences.
  • Prior experience or coursework in data analytics, business intelligence, or related fields.
  • Strong organizational skills with the ability to manage multiple tasks and prioritize effectively.

Responsibilities

  • Assist in the collection, analysis, and interpretation of data to support operational decision-making.
  • Develop and maintain dashboards, reports, and visualizations to communicate insights and trends.
  • Collaborate with cross-functional teams to identify and address data needs and opportunities for process improvements.
  • Support the implementation of data-driven solutions to enhance operational performance.
  • Perform data validation and ensure data quality and integrity.
  • Conduct ad-hoc analysis and generate reports as needed by the Operations team.
  • Participate in team meetings and contribute to the development of best practices for data analytics.

Benefits

  • medical
  • dental
  • vision
  • life insurance
  • short-term disability
  • long-term disability
  • 401(k) match
  • flexible spending accounts
  • flexible work schedules
  • employee assistance program
  • Employee Scholar Program
  • parental leave
  • paid time off
  • holidays
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