Data Analytics Internship

Vitalant•Scottsdale, AZ

5d•Onsite

About The Position

Vitalant is hiring a Data Analytics Intern to help advance our life-saving mission through meaningful, data-driven insights. This part-time role offers fully flexible scheduling Monday through Thursday, with opportunities to work 16–24 hours per week based on your availability during the current school semester and into the Summer break. This internship will work on-site at our Scottsdale, AZ office - remote or hybrid options are not available. This is an exceptional opportunity for students interested in Data Science, Computer Science, or Analytics to develop hands-on skills in BI, cloud technologies, and machine learning while contributing to meaningful, real-world projects that support a life-saving mission. If you are eager to grow in advanced analytics and ML, we would love to hear from you.

Requirements

Enrolled in a formal intern program at an educational institution required.
Ability to work in a team environment.
Able to set priorities, organize and handle a variable workload.
Effective oral and written communication skills.
Must be self-motivated with good organizational skills.
Proficient personal computer skills.

Nice To Haves

Knowledge/ Education
Skills/ Abilities
Experience

Responsibilities

Support Advanced Analytics initiatives by preparing datasets, conducting exploratory data analysis (EDA), and assisting with machine-learning workflows in Python.
Gain hands-on exposure to modern ML techniques used across our program, including tree-based models (XGBoost), neural networks (RNNs), and time-series forecasting approaches.
Collaborate with senior analysts, computer scientist and engineers to evaluate model performance and help operationalize insights.
Assist with BI and data-engineering tasks, including updating data pipelines, refining semantic models, and maintaining data quality across our BI ecosystem.
Work with Power BI and Looker to support ongoing enhancements as we expand our analytics presence.
Perform data validation, profiling, and quality checks to ensure accurate, trusted reporting and analytics.
Collaborate with cross-functional teams to gain real-world experience building analytics solutions in a complex, mission-driven organization.