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.
Key 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
Requirements
Required Qualifications
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; experience with Python for data analysis is a plus
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
Preferred Qualifications
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
Numbers & Facts
Location
Indianapolis, Indiana
Website
radcube.com
Skills
Amazon Simple Storage Service (S3)unmatched
Amazon Web Services (AWS)unmatched
Analysis Skillsunmatched
Apache Sparkunmatched
Big Dataunmatched
Biotech and Pharmaceuticalunmatched
Business Analysisunmatched
Business Intelligenceunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Data Analysisunmatched
Data Managementunmatched
Data Qualityunmatched
Data Scienceunmatched
Data Setsunmatched
Decision Supportunmatched
Needs Assessmentunmatched
Pharmaceutical Dataunmatched
Presentation/Verbal Skillsunmatched
Problem Solving Skillsunmatched
Python Programming/Scripting Languageunmatched
Query Analysisunmatched
Query Optimizationunmatched
Reporting Dashboardsunmatched
Requirements Managementunmatched
Research & Development (R&D)unmatched
SQL (Structured Query Language)unmatched
Snowflake Schemaunmatched
Statisticsunmatched
Validation Testingunmatched
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