The role:
As an Analytics Engineering intern, you will build systems that can model data in a clean, clear way. These will consolidate multiple data sources and enable both internal and external stakeholders to answer questions on an ongoing basis. You may be working on a small, multi-functional team that may include other engineers, a product manager, data scientist and other roles. Success in this role requires the ability to take on challenging problems and design & develop an amazing solution with the mentorship of an experienced team member.
You will build the tools which will allow some of the largest brands in the world to better understand their customers and reimagine the shopping experience. Join us in transforming the way that brands reach their customers and empowering consumers to Live Rewarded through the power of Fetch Points!
In Your Tool Bag:
Solid foundation of SQL skills and understanding of relational and non relational databases
Experience with Python
A problem solver at heart - you love to stitch together several data sources and build systems that allow users to access consolidated insights in a streamlined and intuitive way
Knack for creative problem solving and innovation - you aren't afraid to explore novel approaches outside of the status quo
Passion for tackling challenging and ambiguous problems in a fast-paced environment
Ability to effectively communicate across a variety of technical and nontechnical audiences
Desire to grow your skills set through collaboration, open communication, direct feedback and knowledge sharing
You have experience with:
Data processing and understand the difference between ETL and ELT
Data warehouses (e.g. AWS, Azure, Snowflake) and data visualization tools (e.g. Tableau, Grafana) in either a classroom or hands-on setting
Bonus points:
Experience with Data Build Tool (DBT), Airflow, AWS infrastructure, Terraform
Exposure to data modeling, data governance and data quality tools
Program Eligibility:
In the process of obtaining a Master's degree in computer science, data science, mathematics, statistics or related technical field
Currently enrolled in a full-time, degree-seeking program at an an accredited university with the intent to return to the degree program upon completion of the internship
Ability to work full-time (40 hrs/ week) fromMay 19, 2025 to August 8, 2025in the Madison, WI office or Birmingham, ALoffice, or remotely.
Please note that there is no relocation or housing assistance available.
At Fetch, our intern program is designed to give you the tools to launch your career in analytics engineering through:
1:1 mentoring:we will pair you with an experienced engineer to guide you through your internship and provide you with the coaching and consistent feedback to help you grow.
Working on real projects that impact millions of users:forget busy work or coffee runs, our interns are given meaningful projects and many start pushing production ready code in their first week at the company.
A collaborative environment:we believe that small, nimble, cross functional teams are the best way to build the kind of products that users can't imagine life without.
Professional development opportunities:when you aren't working on your project, you'll have the opportunity to meet and network with senior leaders and also give back to the local community.
Fetch analytics engineering internships pay $40/ hour. Please note: pay is not negotiable.