Data Analytics Intern: Build BI Dashboards & Pipelines (Remote)

Cytiva; Logan (UT); Hybrid; USD 34,000 - 48,000; Full time

Benefits offered by this job

Remote work eligibility

Paid time off

Medical/dental/vision insurance

401(k)

Job summary

Cytiva is seeking an Analytics Intern in Logan, UT to support data-driven decisions and build BI solutions. The role focuses on data analysis, data pipelines, and dashboards to transform raw data into actionable insights.

You'll work with Product Managers and other stakeholders, gain exposure to data engineering, automation, and analytics, and contribute to real-world business challenges while being on-site with remote-work eligibility.

Qualifications

• Pursuing a degree in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Finance, Engineering, or a related field.
• Ability to analyze complex data 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

Responsibilities

• Work directly with Product Managers, Quoters, Core Account Managers, 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

Skills

Data analysis

Data engineering

Power BI

SQL

Python

Business intelligence

Education

Data analytics / data science related degree

Tools

Power BI

SQL

Python

Data pipelines

Job description

Cytiva is seeking an Analytics Intern in Logan, UT to support data-driven decisions and build BI solutions. The role focuses on data analysis, data pipelines, and dashboards to transform raw data into actionable insights.

You'll work with Product Managers and other stakeholders, gain exposure to data engineering, automation, and analytics, and contribute to real-world business challenges while being on-site with remote-work eligibility.