Summer 2025 Analytics Engineer Intern - Remote
Summer 2025 Analytics Engineer Intern - Remote
Apply now Job no: 503351...
Work type: Full Time Temporary
Location: Remote, Nebraska
Categories: Information Technology, Internships, Early Career Programs
You've always had a talent for tech, but over the years, your knowledge and skills have evolved and become more sophisticated. Today, technology is your passion. You love resolving computer issues and providing clarity.
You're ready to put your skills to work and earn meaningful, practical experience. It's time to supplement your coursework with hands-on opportunities-and let your future take you to Mutual of Omaha.
WHAT WE CAN OFFER YOU:
Hourly Wage:
Undergraduate Information Services Intern: $23.00
Graduate Information Services Intern: $26.00
Benefits and Perks, 401(k) plan with a 2% company contribution and 6% company match.
WHAT YOU'LL DO:
You will work as part of a production team with experienced I/T professionals.
Participate as an active team member working on various I/T projects within your assigned team.
Provide input and express creative solutions to I/T problems.
WHAT YOU'LL BRING:
Currently enrolled in a computer-related degree and/or equivalent experience.
Experience programming in Python and SQL
Ability to query, clean, transform, and model data for use by business owners. Can support, with guidance, the analytic and/or operational use of data.
Collaboration with business owners to define model needs and deploy useful model outputs (e.g., dashboards, reports, emails, etc).
Knowledge to apply software engineering best practices to analytics code (e.g., version control, testing, CI/CD and code-review).
Able to develop, test and integrate new data features and functionality as defined by the product owners and business teams.
You promote a culture of diversity and inclusion, value different ideas and opinions, and listen courageously, remaining curious in all that you do.
Able to work remotely with access to a high-speed internet connection and located in the United States or Puerto Rico.
PREFERRED:
Experience with cloud services (e.g., AWS), combined with data analysis and statistical skills.
Machine Learning foundational understanding and experience with machine learning libraries.
We value diverse experience, skills, and passion for innovation. If your experience aligns with the listed requirements, please apply!
If you have questions about your application or the hiring process, email our Talent Acquisition area at [email protected]. Please allow at least one week from time of applying if you are checking on the status.
Advertised: Sep 4, 2024 09:00 AM Central Daylight Time
Applications close: Sep 27, 2024 11:55 PM Central Daylight Time
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