Associate, Engagement Excellence & Insights

Associate, Engagement Excellence & Insights (12-month contract) Hybrid – Toronto, ON Introduction

We are hiring an Associate, Engagement Excellence & Insights for our leading global pharmaceutical client, Eli Lilly. This role is pivotal in driving data‑driven decision‑making across the Canadian Affiliate divisions. The Associate, Engagement Excellence & Insights will collaborate with cross‑functional stakeholders to provide comprehensive data analysis, transform data into actionable insights that drive business decisions and strategies and support with Salesforce effectiveness initiatives.

The role requires a good understanding of industry data sources such as IQVIA, reimbursement claims, and business systems (ie. SAP) and tools for managing data (Tableau, Power

BI, etc.). This is a 12‑month contract position, with potential for renewal based on business needs. The successful candidate will be required in office 10–12 days per month, located in Downtown Toronto.

• Analyse sales team performance trends and sales data trends from multiple sources to identify key insights and opportunities.
• Synthesize data from IQVIA, ZS, warehouse shipments, and reimbursement claims to provide a holistic view of sales performance dynamics.
• Collaborate with cross‑functional teams to understand their data needs and provide relevant sales and performance insights.
• Facilitate analytic delivery as needed for Business Unit assigned.
• Develop and maintain dashboards and reports to track key performance indicators (KPIs).
• Present findings and recommendations to senior management and stakeholders.
• Help translate analytics outcomes into business insights to guide business decisions.
• Stay updated with industry trends and best practices in data analysis and market research.
• Support standardization and automation efforts to increase team productivity and efficiency.
• For assigned Business unit. Support with annual sales team sizing and alignment activities.
• Support with developing business case for sales team structure changes, for leadership team approval.
• Support with Incentive compensation plan design, implementation and management for assigned business unit.
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• Collaborate with Business unit heads, Marketing and sales leads to define customer segmentation criteria.
• Work with third‑party vendors to develop data sources that support with Salesforce Effectiveness needs.
• Utilize data from vendors (IQVIA, ZS etc.) to develop dynamic customer segmentation in alignment with business needs.
• Develop and maintain dashboards (Tableau, Power
  
  BI, etc.) in collaboration with insight from business leads to support sales performance management.

• Work closely with cross‑functional teams, including marketing, sales, and International Business unit leads to understand their data needs and provide relevant insights.
• Present findings and recommendations to senior leadership and other non‑technical stakeholders using a storytelling approach.

• Education:
  
  Bachelor’s Degree required, preferably in Math, Statistics, or Healthcare Business Management.
• Experience:
  
  2 to 5+ years of experience, with 2+ years in analytics within the Pharma/Bio Tech/Medical Device industry.
• Skills:
  
  Advanced capabilities in Python, SAS, SQL, R, Excel, and Power BI.
• Knowledge of retail insurance claims process and vendors.
• Fluent in English written and verbal communication.
• Able to lead by influence and is a strong communicator both with internal & external stakeholders.
• Can problem solve and think independently.
• Operates and communicates effectively.
• Facilitate information sharing and a teamwork approach.
• Read, understand, interpret statistical analytics and their implications; usage of multiple data sources into comprehensive and actionable knowledge; scenario building.
• Demonstrated ability to collaborate with partners and lead peers.
• Demonstrated ability to structure and conduct analyses to generate insight and recommendations.
• Excellent problem‑solving skills, details oriented with focus on quality and accuracy.
• Strong verbal and written communication skills, proficient in interacting with Senior Leadership.
• Proven track record of working effectively in a collaborative, fast‑paced, multi‑tasking environment.
• Knowledge of reporting and data analytics tools like Excel and Power BI.