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Senior Principal Data Analyst

3-5 years
Not Disclosed
10 Oct. 8, 2025
Job Description
Job Type: Full Time Education: B.Sc/M.Sc/M.Pharma/B.Pharma/Life Sciences Skills: Causality Assessment, Clinical SAS Programming, Communication Skills, CPC Certified, GCP guidelines, ICD-10 CM Codes, CPT-Codes, HCPCS Codes, ICD-10 CM, CPT, HCPCS Coding, ICH guidelines, ICSR Case Processing, Interpersonal Skill, Labelling Assessment, MedDRA Coding, Medical Billing, Medical Coding, Medical Terminology, Narrative Writing, Research & Development, Technical Skill, Triage of ICSRs, WHO DD Coding

Position Title: Senior Principal Data Analyst

Job ID: R-89878
Category: Research & Development
Job Type: Full Time, Regular
Location: Bangalore, Karnataka, India


🌍 About Lilly

At Lilly, we unite caring with discovery to make life better for people worldwide. Headquartered in Indianapolis, Indiana, Lilly is a global healthcare leader committed to:

  • Discovering and delivering life-changing medicines

  • Improving disease understanding and management

  • Supporting communities through philanthropy and volunteerism

We put people first and seek individuals dedicated to improving lives globally.


🎯 Role Purpose

The Senior Principal Data Analyst is responsible for programming, testing, and delivering clinical trial data reports, dashboards, and analytics. This role requires a deep understanding of:

  • Data programming and analytics

  • Data flow and data standards

  • Clinical study objectives and regulatory requirements

The role collaborates closely with Clinical Data Management Associates, Clinical Data Associates, and other stakeholders to deliver standardized and innovative data solutions for global clinical trials.


🧠 Key Responsibilities

1. Portfolio Delivery

  • Program and test data reports, dashboards, and analytics for clinical trials using standard libraries.

  • Ensure accuracy, efficiency, and alignment of deliverables with study objectives.

  • Provide insights into study-level deliverables such as Data Management Plans, Project Plans, databases, and observed datasets.

  • Support regulatory submissions, inspections, and responses.

2. Project Management

  • Enhance speed, accuracy, and consistency of data reporting and analytics.

  • Partner with Clinical Data Management to meet business needs.

  • Adhere to data standards and strategies for studies/programs.

  • Apply therapeutic knowledge and technical expertise in developing reports and analytics.

  • Ensure compliance with internal, external, and regulatory requirements (MQA, CSQ, MHRA, FDA, ICH, GCP, PhRMA, Privacy, etc.).

3. Enterprise Leadership

  • Continuously seek ways to improve processes and reduce effort in data reporting and analytics.

  • Represent Data and Analytics processes in cross-functional initiatives.

  • Promote shared learning across the Data and Analytics organization.

  • Drive reusability of reports and analytics, automation, and seamless real-time data validation.


🎓 Qualifications & Experience

Minimum Requirements

  • Bachelor’s degree in Computer Science, Engineering, Statistics, Technical Science, or related field.

  • 3–5 years of clinical experience in pharmaceuticals, biotech, CRO, or regulatory agency.

  • Technical knowledge for developing study deliverables.

  • Familiarity with statistical techniques.

  • Proficiency in programming and visualization tools: SAS, R, Python, Tableau, PowerBI, Shiny, and database languages P-SQL, T-SQL.

  • Strong problem-solving, analytical, and creative thinking skills.

  • Excellent written and verbal communication and leadership abilities.

  • Proven teamwork, collaboration, and professional leadership skills.

Preferred Skills

  • Clinical background with extensive experience in SAS and R for data reporting.

  • Advanced proficiency in Power BI and/or R Shiny for interactive dashboards.

  • Familiarity with Microsoft Fabric and Power Platform (Power BI, Power Apps, Power Automate).

  • Hands-on experience with cloud operations (Azure or AWS, Data Factory, data warehousing).

  • Strong analytical and debugging skills.

  • Experience leading large-scale AI-driven innovation projects.

  • Knowledge of managing clinical studies and innovation initiatives concurrently.

  • Understanding of SDLC, Scrum, and Agile methodologies.


Equal Opportunity & Accommodation

Lilly is committed to inclusive workforce practices for individuals with disabilities.
For accommodations during the application process, complete the Accommodation Request Form.

We uphold equal opportunity employment, without discrimination based on age, race, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, veteran status, or other legally protected characteristics.


🔖 #WeAreLilly