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Tiger Analytics

Delivers Data and AI transformation

Manager/Senior Manager - Analytics Consulting, Pharma

Technology & Systems ConsultingConfirmed live in the last 24 hours
Full-timeRemote in CanadaNo salary listedRemote

About the Job

Requirements

  • Requires 8–13 years of professional work experience, including at least 7 years in data analytics.
  • Deep understanding of pharmaceutical datasets, KPIs, and insight needs across headquarters and field personas in commercial, patient support services, and market access.
  • Strong SQL skills and hands-on experience with R, Python, and visualization tools such as Power BI or Tableau.
  • Strong understanding of standard data sources, especially pharmacy, HUB, CRM, IQVIA, alignments, and related datasets, including their nuances and the quality controls needed to ensure accuracy.
  • Strong project management and team management skills, with the ability to work with global teams.
  • Ability to work with IT and Data Engineering teams to embed analytic outputs in business processes.
  • Graduate in Business Analytics or MBA, or equivalent work experience.

Responsibilities

  • Apply data science to solve business problems in the pharmaceutical 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 informed decisions.
  • Use advanced analytics to drive business value, including ROI and value assessment, digital KPI tracking, and campaign measurement.
  • Leverage complex data to drive business decisions and apply data science methodologies, including predictive analytics, machine learning, and patient-level data triggers, using R, Python, and Databricks; use Qlik, Power BI, and Tableau for visualization.
  • Use pharmaceutical data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc.) and real-world data sources such as TriNetX, Flatiron, Optum, and Komodo.
  • Translate strategy into action; communicate complex issues simply; and orchestrate plans to resolve issues and mitigate risks.
  • Work with all levels of management and consult with key business stakeholders.
  • Present analytic solutions to business audiences, explaining solution robustness and potential business value.
  • Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights.
  • Present to senior management, communicate results to business teams, and develop plans to operationalize analytics solutions.

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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