Data Analyst Intern

For 40 years, Kids on the Move has been a cornerstone of support for families and children across Utah. We've built a legacy based on genuine care, collaboration, and a commitment to continuous improvement in the services we provide. Our team is dedicated to empowering families, and we pride ourselves on creating a supportive environment where both staff and families grow together. The impact we've had on the community over these four decades speaks to our mission of creating lasting, positive change for children and their families.
We are seeking a highly motivated and detail-oriented Data Analyst Intern to join our dynamic team. This internship offers a unique opportunity to gain hands-on experience working with large datasets, performing deep analysis, and presenting actionable insights using modern tools and technologies. As a Data Analyst Intern, you will work closely with cross-functional teams and contribute to data-driven decision-making initiatives.
You will primarily work with Python for data manipulation and automation, SQL for querying and managing databases, and Domo for data visualization and dashboard creation.
Join our team at Kids on the Move and help us continue to empower families, one child at a time.

Key Requirements

• Data Extraction and Analysis:
• Write complex SQL queries to extract, clean, and manipulate large datasets.
• Develop Python scripts for automating data preparation and analysis workflows.
• Conduct exploratory data analysis (EDA) to discover trends, patterns, and insights.
• Dashboarding and Reporting:
• Build and maintain dynamic dashboards and reports in Domo.
• Design intuitive data visualizations to support business strategies and initiatives.
• Translate business requirements into technical specifications for reporting solutions.
• Data Management and Quality Assurance:
• Assist in data validation, integrity checks, and troubleshooting.
• Document processes, methodologies, and analysis results.
• Collaborate with Data Engineering and IT teams to ensure data availability and reliability.
• Collaboration and Communication:
• Work closely with analysts, business stakeholders, and leadership to understand data needs.
• Present findings and recommendations clearly and concisely to both technical and non-technical audiences.
• Participate in team meetings, brainstorming sessions, and knowledge-sharing activities.

Qualifications

• Education:
• Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Business Analytics, or a related field.
• Technical Skills:
• Proficiency in SQL (writing complex joins, subqueries, CTEs).
• Strong experience with Python (Pandas, NumPy, matplotlib, etc.).
• Familiarity with Domo or similar BI tools (Tableau, Power BI, Looker).
• Understanding of data wrangling, cleansing, and ETL processes.
• Knowledge of data visualization best practices.
• Soft Skills:
• Strong analytical and problem-solving skills.
• Attention to detail and commitment to high-quality work.
• Excellent verbal and written communication skills.
• Ability to manage multiple tasks and meet deadlines in a fast-paced environment.
• Eagerness to learn new technologies and data methodologies.

Benefits & Schedule

• Hands-on mentorship and career development
• Exposure to real-world business problems and datasets
• Work alongside an experienced and collaborative team
• 401(k) contribution after 90 days
• Employee Assistance Program (EAP)
• Potential for future full-time employment based on performance
• Part-time internship
• In-person preferred