Eli Lilly and Company
Business Analyst - Analytics Capabilities
Eli Lilly and CompanyCanada4 days ago
Full-timeRemote FriendlyResearch, Analyst +1
At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

Our work today – from our research programs to our volunteer initiatives – reflects our heritage of uniting caring with discovery to make life better for people around the world. We invite you to explore career opportunities with Eli Lilly Canada, where we work together to make life better for people.

You have an opportunity

We are seeking a strategic and analytically-minded Business Analyst to lead and support the development of analytics capabilities. This role focuses on enabling business teams to leverage data effectively by identifying analytics needs, improving data literacy, and driving adoption of tools, platforms, and methodologies that support advanced analytics and decision-making.

This is a hybrid role – onsite presence at our Toronto office will be 10 days or more per month (or at least 50% of the time), determined in collaboration with your manager and based on business needs.

Key Responsibilities

Analytics Enablement & Strategy

  • Partner with business units to assess current analytics maturity and identify capability gaps.
  • Define and prioritize analytics use cases aligned with strategic goals.
  • Support the development and rollout of analytics frameworks, governance models, and best practices.


Requirements Gathering & Solution Design

  • Collaborate with stakeholders to gather and document business requirements for analytics solutions, dashboards, and data products.
  • Translate business needs into functional specifications for technical data integrator, data engineering, front end developers and BI teams.
  • Facilitate workshops to align on KPIs, metrics definitions, and reporting standards.


Tool & Platform Adoption

  • Drive adoption of analytics platforms (e.g., Power BI, Tableau, …) across business units.
  • Provide training, onboarding, and support to users to improve data literacy and self-service capabilities.
  • Evaluate and recommend new tools and technologies to enhance analytics capabilities.


Data Governance & Quality

  • Work with data governance teams to ensure consistent definitions, data lineage, and metadata management.
  • Monitor data quality issues and coordinate resolution with technical teams.
  • Promote responsible data usage and compliance with privacy regulations.


Performance Measurement & Continuous Improvement

  • Define success metrics for analytics initiatives and track performance over time.
  • Conduct post-implementation reviews to assess impact and identify areas for improvement.
  • Stay current with industry trends and emerging technologies in analytics and business intelligence.


Required Qualifications

  • Bachelor’s or Master’s degree in Business, Information Systems, Data Analytics, or a related field.
  • Experience with datasets from the Healthcare, Pharma, or Health Insurance industries,
  • Strong understanding of key performance indicators (KPIs) and metric calculations relevant to the pharma and biotech sector
  • 3–6 years of experience in business analysis, analytics strategy, or data product management.
  • Strong understanding of analytics platforms, data visualization tools, and data architecture.
  • Experience working with cross-functional teams including data engineers, BI developers, and business stakeholders.
  • Experience with Canadian data sets (IQVIA, EMRs, Claims, …)
  • Excellent communication, facilitation, and stakeholder management skills.
  • Proficiency in SQL and familiarity with data modeling concepts.


Preferred Skills

  • Experience with cloud data platforms.
  • Familiarity with Agile methodologies and product management principles.
  • Exposure to data science workflows and machine learning use cases.
  • Ability to lead change management and drive cultural adoption of analytics.


Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

#WeAreLilly

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