Sr. Manager/ Associate Director - Analytics Consulting (Commercial Pharma)

Tiger Analytics Inc. • Toronto, ON

12d

About The Position

Tiger Analytics is an advanced analytics consulting firm. We are the seeking a Data and Analytics professional with deep Life Sciences and Commercial Pharma Analytics experience to lead strategic analytics initiatives for global pharmaceutical clients. This individual will serve as a bridge between business stakeholders and technical teams, driving the design and implementation of scalable commercial analytics solutions that enable data-driven decision-making across Sales, Marketing, Market Access, Patient Services, and Commercial Operations. The ideal candidate combines strong pharmaceutical domain expertise with experience managing analytics products, defining KPIs, translating business requirements into data solutions, and leading cross-functional teams.

Requirements

• 15+ years in commercial analytics, data product management, or analytics consulting within pharma/life sciences.
• Strong understanding of commercial pharmaceutical functions, including Sales, Marketing, Market Access, Patient Services, Omnichannel Engagement, and Launch Excellence.
• Experience working with industry-standard datasets such as IQVIA, Symphony Health, Komodo, MMIT, Veeva, Claims, Specialty Pharmacy, Hub, and Patient-level data.
• Experience supporting commercial analytics, field force effectiveness, customer targeting, segmentation, omnichannel measurement, forecasting, patient journey analytics, or launch readiness programs.
• Strong technical expertise in SQL, cloud data platforms (Snowflake, Databricks, AWS, Azure, GCP), and BI tools such as Power BI and Tableau, with experience working in enterprise-scale analytics environments.
• Solid understanding of data product development, including data modelling, semantic layer design, KPI frameworks, and Agile delivery methodologies, with the ability to translate business requirements into scalable analytics solutions
• Proven experience owning product backlogs and driving roadmap execution.
• Ability to operate independently in greenfield / build-from-scratch environments.

Responsibilities

• Partner with Life Sciences stakeholders to understand business requirements and translate them into analytical solutions
• Translate launch strategy into segmentation frameworks, KPIs, and data products used by commercial leadership.
• Drive stakeholder alignment across Marketing, Sales, Market Access, and Analytics
• Own and prioritize the product backlog, ensuring alignment with launch milestones. Partner with the engineering team to design Snowflake-native data models optimized for scalability and reuse.
• Ensure strong Power BI semantic model understanding (measures, relationships, performance).
• Enable self-service analytics through well-designed datasets—not dashboards alone.
• Establish KPI governance, adoption tracking, and success metrics for the product.
• Lead a small cross-functional pod (data engineers, analysts).
• Operate in an agile delivery model with clear sprint outcomes and executive visibility.
• Act as the primary interface between business stakeholders and the technical team.

Benefits

• This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed