The Role
Analyzes large pharma datasets using Databricks, AWS, Spark, and SQL to answer business questions and support decisions. Builds reports, dashboards, and visualizations; validates data quality; gathers requirements from business stakeholders; presents findings; and collaborates with data engineers on data gaps and pipeline issues. Applies pharma domain knowledge to commercial, clinical, or research-related reporting needs.
Summary Generated by Built In
Data Analyst
Hybrid – Indianapolis, IN
About the Role
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
Skills Required
- 3-5 years of data analysis or business intelligence experience specifically within the pharmaceutical industry
- Working knowledge of Databricks for querying and analyzing data
- Familiarity with AWS data services such as S3, Redshift, and Glue in an analytics context
- Experience working with Big Data and datasets processed through Apache Spark
- Strong SQL skills
- Experience with Python for data analysis
- Ability to understand pharma business needs and communicate with pharma business groups
- Strong communication skills and ability to present data to business stakeholders
- Bachelor's degree in Statistics, Data Science, Business Analytics, or a related quantitative field, or equivalent practical experience
- Experience with business intelligence or data visualization tools
- Exposure to Delta Lake, Snowflake, or similar modern data platforms
- Experience supporting pharma commercial, clinical, or R&D reporting functions
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The Company
What We Do
RADcube is a technology consulting and software development firm founded in 2015 and headquartered in Carmel, Indiana. It helps organizations turn enterprise ideas into practical innovations through digital transformation, custom software, data analytics, artificial intelligence, cloud computing, cybersecurity, and intelligent automation. The company serves healthcare, finance, government, and manufacturing clients, combining human-centric delivery with responsible, accountable technology solutions designed to produce measurable business outcomes.
