Tiger Analytics

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

Tiger Analytics$120K — $150K *
Pharmaceuticals & Biotech
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years in commercial analytics, data product management, or analytics consulting within pharma/life sciences.
  • Strong experience with pharma launches, segmentation, performance tracking, and KPI design.
  • Hands-on understanding of Snowflake for data modeling and performance.
  • Strong knowledge of Power BI semantic layer and data visualization.
  • Proven experience owning product backlogs and driving execution plans.
  • Ability to work independently in greenfield environments.

Responsibilities

  • Partner with stakeholders to translate business requirements into analytics solutions.
  • Own the complete commercial data product lifecycle for a kidney launch.
  • Translate launch strategy into segmentation frameworks, KPIs, and analytical products.
  • Drive stakeholder alignment across various teams including Marketing and Sales.
  • Prioritize the product backlog and collaborate with engineers on data model design.
  • Ensure understanding of Power BI semantic models for optimal performance.
  • Enable self-service analytics through effective dataset design.

Benefits

  • Significant career development opportunities in a fast-growing, entrepreneurial environment.
  • High degree of individual responsibility in a pivotal role.
Full Job Description
We are 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.

Key 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.

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.

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.

About Tiger Analytics

Tiger Analytics is a consulting firm that provides data analytics consulting services to businesses. The company specializes in data science, machine learning, and artificial intelligence. Tiger Analytics helps businesses to leverage data to make better decisions, improve operations, and drive growth. The company has worked with clients in a variety of industries, including healthcare, retail, finance, and technology.
Learn more about Tiger Analytics
Size
500 employees
Industry
Net Income
$1 million
Founded
2011
5 Year Trend
+50%
Revenue
$10 million

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