Data Analyst

Eli Lilly And Company; Bengaluru; Presencial; INR 1.500.000 - 2.100.000; Jornada completa

Descripción de la vacante

Eli Lilly And Company is seeking a Data Analyst/Senior Data Analyst in Bengaluru, India to drive end-to-end analytics delivery for clinical and business programs. You will translate business or clinical needs into data-driven solutions and influence strategic decisions with insights.

The role combines deep technical expertise with functional leadership and stakeholder influence, delivering dashboards, reports, and validated data outputs to support regulatory and program needs.

Formación

• Bachelor’s or Master’s in Statistics, Data Science, Life Sciences or similar.
• Significant experience in data analytics / clinical data domains.
• Proven track record of leading analytics initiatives and managing complex datasets.
• Ability to influence business decisions through data-driven insights.

Responsabilidades

• Lead design, development, and delivery of analytics solutions, dashboards, and reports.
• Perform advanced data analysis, modelling, and interpretation.
• Ensure data quality, validation and compliance with standards.
• Drive data delivery processes for clinical/data programmes.
• Translate business questions into analytical outputs and frameworks.

Conocimientos

SQL

SAS/R/Python

AI/ML

Power BI

Tableau

Data governance

Data modelling

Clinical data

Educación

Bachelor's/Master's in Statistics/Data Science/Life Sciences

Herramientas

Power BI

Tableau

Descripción del empleo

Job Summary

Role Purpose

A Data Analyst/Senior Data Analyst is an individual contributor responsible for:

• Driving end-to-end analytics delivery
• Translating business / clinical needs into data-driven solutions
• Influencing strategic decision-making through insights

This role often combines deep technical expertise + functional leadership + stakeholder influence.

Key Responsibilities

A. Analytics Delivery Technical Leadership

• Lead design, development, and delivery of analytics solutions / dashboards / reports
• Perform advanced data analysis, modelling, and interpretation
• Ensure data quality, validation, and compliance standards
• Drive set-up, conduct, and closure phases for data delivery in clinical/data programmes
• Translate business questions into analytical frameworks and outputs

B. Business Translation Stakeholder Engagement

• Convert business requirements into technical specifications
• Present insights to stakeholders in clear, actionable form
• Partner with cross-functional teams to shape strategy and decisions
• Provide analytics support for study/program deliverables and regulatory needs

C. Process, Standards Governance

• Define and enforce data standards, checks, and validation frameworks
• Improve efficiency, consistency, and scalability of analytics processes
• Ensure compliance with internal SOPs and regulatory expectations
• Lead adoption of standardized approaches and tools across teams

D. Innovation Continuous Improvement

• Drive process improvements and automation
• Introduce new analytical methods, tools, and AI/ML approaches
• Identify opportunities to:
  • Reduce rework
  • Improve turnaround time
  • Enhance quality and audit-readiness
• Stay updated on emerging analytics trends

Key Deliverables

• Analytics dashboards / reports for studies or business functions
• Standardized data checks and validation frameworks
• Business-to-technical requirement documentation
• Insights supporting:
  • Clinical programmes
  • Operational performance
  • Strategic decisions

Required Skills

Technical

• SQL, SAS / R / Python (analytics modelling)
• Expertise in AI/ML
• Data visualization (Power BI / Tableau)
• Data modelling, validation, and governance
• Clinical data understanding (in pharma context)

Functional

• Strong problem-solving and analytical thinking
• Ability to translate ambiguous business needs into structured analysis
• Understanding of clinical trial lifecycle / data standards

Other

• Stakeholder management (cross-functional/global)
• Driving standards and influencing decisions

Typical Experience / Qualification

• Bachelor s/Master s in Statistics, Data Science, Life Sciences, or similar
• Significant experience in data analytics / clinical data domains
• Proven track record of:
  • Leading analytics initiatives
  • Managing complex datasets
  • Influencing business decisions