About The Position

Tiger Analytics is seeking a professional who combines business consulting skills with a data analytics background to solve unstructured business problems in the pharmaceutical and life sciences domains. The role applies data science and advanced analytics to client challenges, translates business needs into analytics solution designs, and generates insights that support informative decisions and business value. The position includes client and account leadership responsibilities: managing client relationships and account growth, scaling pilots and proofs of concept into long-term programs, and owning account portfolio revenue and margin goals. The role works with stakeholders at all levels, including executive and VP-level leaders, and collaborates with internal subject-matter experts to develop points of view and proposals. The successful candidate will also lead teams and projects, communicate analytical results to business and senior-management audiences, and develop plans to operationalize analytics solutions. The role requires strong knowledge of pharmaceutical datasets, KPIs, and insight needs across commercial, patient support services, and market access personas. Relevant data sources include Veeva, IQVIA, real-world data sources, pharmacy, HUB, CRM, and alignment datasets. Tiger Analytics describes itself as a global AI services firm working across North America, Latin America, Europe, and India. The position offers the opportunity to work in a small, fast-growing, entrepreneurial environment with individual responsibility and career development opportunities.

Requirements

  • 10–14 years of professional work experience, including at least 9 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.
  • Ability to engage executive- and VP-level client stakeholders and translate business problems into high-level analytics solution approaches.
  • Strong knowledge of the life sciences and pharmaceutical domains.
  • Experience in specialty drugs and rare diseases.
  • Strong project management and team management skills, including the ability to work with global teams.
  • Strong SQL skills and hands-on experience with analytics tools such as R and 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.
  • Experience developing hypotheses and validating them through data analysis to identify and investigate trends.
  • Experience building and maintaining reports, with a focus on optimizing effort through automation.
  • Experience managing large accounts and actively contributing to account growth.
  • Graduate degree in Business Analytics or an MBA, or equivalent work experience.

Nice To Haves

  • Previous profit-and-loss ownership experience.

Responsibilities

  • Apply data science to 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 data to support informative business decisions.
  • Use analytics to generate 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 and client relationships, and drive account growth.
  • Scale pilots and proofs of concept into long-term transformative programs and deliver continuous business value.
  • Present analytical solutions to business audiences, explaining solution robustness and potential business value.
  • Present to senior management, communicate results to business teams, and develop plans to operationalize analytics solutions.
  • Identify opportunities with current and new buying centers and collaborate with internal Tiger Analytics subject-matter experts to develop points of view and proposals that support growth.
  • Own profit-and-loss responsibilities for account portfolios, including revenue and margin goals.
  • Develop hypotheses and validate them through data analysis to identify and investigate trends.
  • Build and maintain reports, optimizing effort through automation.
  • Manage large accounts and actively contribute to account growth.

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Retirement accounts
  • Long- and short-term disability coverage
  • Life insurance
  • HSA/FSA accounts (USA)
  • Discretionary time off
  • Continuous learning and AI upskilling
  • Career development opportunities
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