Intern Summer 2027
Cytiva
Logan, UTFresher1h agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 1 year
- Must know
- Data analysisStakeholder managementStatistics
- Nice to have
- ETLPower BIData visualizationSales
- Work
- On-site in Logan · internship
- Pay
- Not stated by the employer.
- Skill demand
- Data analysis14%Stakeholder management12%Statistics10%ETL1%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 6, 2026 · still open
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About the Role
The Data Analytics Intern is responsible for supporting business decisions through data analysis, reporting, data engineering, and process automation. This role will develop and maintain data pipelines, build Power BI dashboards, validate and transform data, identify business trends, and provide actionable insights to stakeholders. This position reports to the Sr. Manager, Data Governance, and is part of the Data Governance Team located in Logan, UT and will be an on-site role.
Key Responsibilities
- Work directly with Managers, Product Engineers, Design Engineers, Packaging Engineers, System Specialists, Quality System Engineers, and other business stakeholders to solve problems using data and analytics.
- Build and maintain data pipelines, reporting solutions, and business intelligence tools that transform raw data into reliable, actionable information.
- Own projects from start to finish, using production, sales, pricing, quoting, and financial data to identify opportunities, improve processes, and drive business results.
Requirements & Tech Stack
- Pursuing a degree in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Finance, Engineering, or a related field.
- Demonstrated ability to analyze complex data, think critically, and translate findings into actionable recommendations.
- Self-motivated with strong organizational skills and a willingness to take ownership of projects from concept through implementation.
- Interested in developing expertise in data engineering, automation, business intelligence, and analytics while working on real-world business challenges.
Qualifications (A Plus)
- Power BI development, data modeling, and dashboard design.
- SQL, Python, automation, or data engineering projects involving large datasets.
- Building data pipelines, data validation processes, or reporting infrastructure.
- Working with operational, financial, sales, pricing, or production data to support business decisions.