Data Analytics Intern — Remote-Eligible, Life Sciences

Danaher Corporation; United States; Remote; USD 25,000 - 33,000; Part time

Benefits offered by this job

Health insurance

401(k)

Paid time off

Job summary

Cytiva, a Danaher operating company, is seeking a Data Analytics Intern to support data-driven decisions and build Power BI dashboards from Logan, UT. The role emphasizes data engineering, reporting, and actionable insights for stakeholders, reporting to the Sr. Manager, Data Governance, and on-site in Logan.

Ideal candidates are pursuing relevant degrees and have a knack for analyzing complex data, with interests in automation and analytics to tackle real-world business challenges.

Qualifications

• Currently pursuing a degree in data analytics, data science, computer science, information systems, statistics, finance, or engineering.
• Strong ability to analyze complex data and translate findings into actionable recommendations.
• Self-motivated with strong organizational skills and ownership of projects from concept to implementation.
• Interest in developing data engineering, automation, BI, and analytics in real business challenges.

Responsibilities

• Collaborate with managers and engineers to solve problems using data and analytics.
• Build and maintain data pipelines, reporting solutions, and BI dashboards.
• Own projects end-to-end using financial, sales, pricing, and operational data to drive business results.

Skills

Data analytics

Critical thinking

Ownership

Communication

Python scripting

Education

Pursuing a degree in data analytics or related field

Tools

Power BI

SQL

Python

Job description

Cytiva, a Danaher operating company, is seeking a Data Analytics Intern to support data-driven decisions and build Power BI dashboards from Logan, UT. The role emphasizes data engineering, reporting, and actionable insights for stakeholders, reporting to the Sr. Manager, Data Governance, and on-site in Logan.

Ideal candidates are pursuing relevant degrees and have a knack for analyzing complex data, with interests in automation and analytics to tackle real-world business challenges.