Data Analyst

• 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

• 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
  

• 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