IT Data Analyst I
Company: Hy-Vee, Inc.
Location: Grimes, IA (Remote)
Type: Full-time
Level: Junior
Remote: Yes
Posted: 2026-02-21
About this role
Additional Considerations (if Any)
At Hy-Vee our people are our strength. We promise “a helpful smile in every aisle” and those smiles can only come from a workforce that is fully engaged and committed to supporting our customers and each other.
Job Description
Job Title:
IT Data Analyst I
Department:
Information Technology
FLSA
: Exempt
General Function
Answers key questions from stakeholders and possesses self-initiated curiosity for what drives business performance. Investigates and communicates areas for improvement in efficiency and productivity. Scope of work includes stories in the backlog.
Core Competencies
- Partnerships
- Growth mindset
- Results oriented
- Customer focused
- Professionalism
Primary Duties And Responsibilities
- Willingness to learn Hy-Vee’s business and opportunities our industry is facing
- Works with the team to gather business requirements, identify critical metrics and KPIs
- Transforms data into readable, goal-driven insights for continued innovation and growth
- Collects, cleans, and transforms data for analyses
- Identifies trends and opportunities for growth through analysis of complex datasets
Secondary Duties And Responsibilities
- Participant in all of the agile scrum meetings.
- Attends and is prepared to participate in team, department and company meetings.
- Performs other job related duties and special projects as assigned.
Knowledge, Skills, Abilities, And Worker Characteristics
- Data visualization skills
- Analytics skills including data mining, evaluation, and analysis through the use of statistical packages
- Technical writing experience in presentations, queries, and reports
- Ability to propose solutions before actively developing a feature or request
Program Language Requirements
- Python or R
- Data Visualization Tools
- SQL (preferred)
Experience And Education
- Bachelor’s degree in Business, Economics, Mathematics, Computer Sci...