Data Analyst

RADcube - A NLogix Company • Indianapolis, IN

4d • Hybrid

About The Position

We are seeking a Data Analyst with 3–5 years of experience working specifically within the pharma industry to join a pharma-focused data team. This role focuses on turning large, complex datasets into clear, actionable insight for business stakeholders. You will work closely with data engineering teams to access and shape data from modern cloud platforms, and with business groups to understand their questions and translate them into reporting, dashboards, and analysis.

Requirements

• 3–5 years of data analysis / business intelligence experience specifically within the pharma industry
• Working knowledge of Databricks for querying and analyzing data
• Familiarity with AWS data services (e.g., S3, Redshift, Glue) in an analytics context
• Comfortable working with Big Data and datasets processed through Apache Spark
• Strong SQL skills
• Demonstrated ability to understand pharma business needs and speak to pharma business groups
• Strong communication skills, with demonstrated ability to present data to business stakeholders
• Bachelor's degree in a quantitative field (Statistics, Data Science, Business Analytics, or related), or equivalent practical experience

Nice To Haves

• Experience with Python for data analysis is a plus
• Experience with BI/visualization tools
• Exposure to Delta Lake, Snowflake, or similar modern data platforms
• Prior experience supporting pharma commercial, clinical, or R&D reporting functions

Responsibilities

• Analyze large datasets housed in Databricks and AWS data platforms to answer business questions and support decision-making
• Build and maintain reports, dashboards, and visualizations for pharma business stakeholders
• Partner directly with business groups to gather requirements, clarify data needs, and translate them into analysis deliverables
• Write and optimize SQL queries against large-scale (Big Data) datasets, including data processed through Spark pipelines
• Perform data validation and quality checks to ensure accuracy and consistency of reporting outputs
• Present findings and recommendations to both technical and non-technical audiences
• Apply pharma domain knowledge to contextualize analysis and ensure relevance to business needs
• Collaborate with data engineers to flag data gaps or pipeline issues affecting analysis

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level