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Tiger Analytics

Delivers Data and AI transformation

Senior Manager/Associate Director - Commercial Analytics, Pharma/Lifesciences

Data AnalysisConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USANo salary listed

About the Job

Requirements

  • The candidate must have 10–14 years of professional work experience, including at least 9 years in data analytics.
  • The candidate must have a deep understanding of pharma datasets, KPIs, and insight needs across HQ and field personas in commercial, PSS, and market access.
  • The candidate must be able to engage with executive- and VP-level client stakeholders to translate business problems into high-level analytics solution approaches.
  • The candidate must have strong knowledge of the life sciences and pharma domains.
  • The candidate must have experience in specialty drugs and rare diseases.
  • The candidate must have strong project-management and team-management skills and the ability to work with global teams.
  • The candidate must have strong SQL skills and hands-on experience with R, Python, and visualization tools such as Power BI or Tableau.
  • The candidate must understand standard data sources, especially pharmacy, HUB, CRM, IQVIA, alignments, and related datasets, including the nuances and quality controls needed to ensure accuracy.
  • The candidate must have experience developing hypotheses and validating them through data analysis to identify and investigate trends.
  • The candidate must have experience building and maintaining reports, with a focus on optimizing effort through automation.
  • The candidate must have experience managing large accounts and active involvement in account growth.
  • The candidate must have a graduate qualification in Business Analytics or an MBA, or equivalent work experience.

Responsibilities

  • Apply data science to solve business problems in the pharma and life sciences domains.
  • Work directly with client stakeholders to translate business problems into high-level analytics solution designs.
  • Use advanced analytics approaches, methodologies, and best practices to leverage data for informative decisions.
  • Use advanced analytics to drive business value, including ROI and value assessment, digital KPI tracking, and campaign measurement.
  • Generate insights from reports and summarize them for brand teams.
  • Manage accounts, client relationships, and account growth.
  • Scale pilots and proofs of concept into long-term transformative programs and deliver continuous business value.
  • Work with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc.) and real-world data sources such as TriNetX, Flatiron, Optum, and Komodo.
  • Work with all levels of management and consult with key business stakeholders.
  • Present analytic solutions to business audiences, highlighting solution robustness and potential business value.
  • Present to senior management, communicate results to business teams, and develop plans to operationalize analytics solutions.
  • Explore opportunities with current and new buying centers and collaborate with internal subject-matter experts to create points of view and proposals that drive growth.
  • Own P&L for account portfolios and manage revenue and margin goals.

Desired Qualifications

  • Past P&L ownership is an added advantage.

About the Company

Tiger Analytics

Delivers Data and AI transformation

Tiger Analytics helps large organizations plan and execute Data and AI–led transformations at scale. It works with clients to translate business needs into data and AI initiatives, using an approach that combines business value mapping, agile operating models, and a platforms-based architecture, backed by partnerships with major hyperscalers. The company designs and delivers end-to-end data and AI solutions—from strategy and data engineering to model development and deployment—so that AI can be applied to tough, real-world problems. Unlike firms that rely mainly on standard playbooks, Tiger Analytics builds custom approaches and accelerators to suit each client’s value chain and operating model. With a global team of 5000+ technologists and consultants, the goal is to enable measurable value and practical outcomes through data and AI programs that work at enterprise scale.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
San Jose, CA
Founded
2010

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