Data & Analytics Intern - Power BI, SQL & Cloud

Legend Biotech US

Bridgewater Township (NJ)

On-site

USD 25,000 - 39,000

Part time

5 days ago
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Job summary

Legend Biotech US is seeking a Data Intern to join the Information Technology team in Bridgewater, NJ. You will collect, clean, and analyze data from multiple sources, and help develop dashboards and reports to support business decisions.

You will gain hands-on experience with enterprise data, BI tools, cloud platforms, data quality, and governance in a regulated life sciences environment. Collaboration with IT, business, and data teams is essential.

Qualifications

  • Pursuing a Bachelor's or Master's in data-related field (see above).
  • Basic SQL knowledge and data analysis concepts.
  • Experience or coursework with Python or similar language.
  • Familiarity with data visualization tools (Power BI/Tableau).
  • Exposure to cloud data platforms or data engineering tech is a plus.
  • Interest in biotech/healthcare industry preferred.

Responsibilities

  • Assist with collecting, cleaning, transforming, and analyzing data from multiple systems.
  • Develop and enhance dashboards and reports using Power BI or similar tools.
  • Write SQL queries to retrieve and validate data from databases and cloud platforms.
  • Support data engineering tasks including ingestion, transformation, and data quality checks.
  • Document data sources, transformations, lineage, metadata, and business rules.
  • Collaborate with IT and business stakeholders to understand analytics requirements.

Skills

SQL basics
Python
Data analysis
Power BI
Cloud platforms
ETL

Education

Pursuing Bachelor's or Master's in Data Science / CS / IS / Stats / Math / Engineering / Bioinformatics / Business Analytics

Tools

Power BI
Tableau
Snowflake
Azure

Job description

Legend Biotech US is seeking a Data Intern to join the Information Technology team in Bridgewater, NJ. You will collect, clean, and analyze data from multiple sources, and help develop dashboards and reports to support business decisions.

You will gain hands-on experience with enterprise data, BI tools, cloud platforms, data quality, and governance in a regulated life sciences environment. Collaboration with IT, business, and data teams is essential.

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