Data & Analytics Intern — BI, SQL & Cloud (Biotech)

BioNJ Inc.; Bridgewater Township (NJ); On-site; USD 25,000 - 39,000; Full time

Job summary

Legend Biotech in Bridgewater, NJ is seeking a Data Intern to support the Data & Analytics team. You will collect, clean, analyze, and visualize data to aid business decisions, gaining hands-on experience with enterprise data, BI tools, and cloud platforms in a regulated life sciences setting.

The role offers exposure to SQL, Python, Power BI, Snowflake, Azure, and analytics workflows, with responsibilities spanning data quality, governance, and stakeholder collaboration.

Qualifications

• Pursuing a Bachelor's or Master's in a data-related field.
• Strong problem-solving and data storytelling abilities.
• Experience with Python or similar programming language.
• Familiarity with data visualization tools (Power BI, Tableau) preferred.

Responsibilities

• Assist with collecting, cleaning, transforming, and analyzing structured and unstructured data from multiple systems.
• Perform exploratory data analysis to identify trends and data quality issues.
• Develop dashboards, reports, and visualizations using Power BI or similar tools.
• Write SQL queries to retrieve and analyze data from databases and cloud platforms.
• Support data engineering activities including ingestion, transformation, and validation.
• Document data sources, transformations, lineage, and business rules.
• Participate in testing and validation of reports and dashboards.
• Prepare analytics-ready datasets and technical documentation.

Skills

SQL basics

Python

Data analysis

Power BI/Tableau

Education

Bachelor's or Master's in Data Science, CS, IS, Statistics, Mathematics, Engineering, Bioinformatics, or Business Analytics

Job description

Legend Biotech in Bridgewater, NJ is seeking a Data Intern to support the Data & Analytics team. You will collect, clean, analyze, and visualize data to aid business decisions, gaining hands-on experience with enterprise data, BI tools, and cloud platforms in a regulated life sciences setting.

The role offers exposure to SQL, Python, Power BI, Snowflake, Azure, and analytics workflows, with responsibilities spanning data quality, governance, and stakeholder collaboration.