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Tiger Analytics

Delivers Data and AI transformation

Associate Director/Director - Commercial Analytics - Pharma & Lifescience

Strategy & Management ConsultingConfirmed live in the last 24 hours
Full-timeJersey City, NJ, USANo salary listed

About the Job

Requirements

  • The candidate must have 10–16 years of professional work experience, including at least 9 years in data analytics.
  • The candidate must have a deep understanding of pharmaceutical datasets, key performance indicators, and insight needs across commercial, patient services and support, and market access roles at headquarters and in the field.
  • The candidate must be able to engage executive- and vice president-level client stakeholders to translate business problems into high-level analytics solution approaches.
  • The candidate must have strong knowledge of the life sciences and pharmaceutical 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 Structured Query Language skills and hands-on experience with R, Python, and data visualization tools such as Power BI or Tableau.
  • The candidate must understand standard data sources, especially pharmacy, HUB, customer relationship management, IQVIA, and alignment datasets, including the quality controls and nuances 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 and optimizing effort through automation.
  • The candidate must have experience managing large accounts and actively contributing to account growth.
  • The candidate must be a graduate in Business Analytics or have an 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 return on investment and value assessment, digital key performance indicator tracking, and campaign measurement.
  • Generate insights from reports and summarize them for brand teams.
  • Manage accounts and client relationships and grow accounts.
  • Scale pilots and proofs of concept into long-term transformative programs and deliver continuous business value.
  • Work with pharmaceutical data sources such as Veeva and IQVIA, including Plantrak, LAAD, and PE, 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 analytics solutions to business audiences, explaining solution robustness and potential business value.
  • Present results to senior management and 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 develop points of view and proposals that support growth.
  • Own account-portfolio profit and loss, including revenue and margin goals.

Desired Qualifications

  • Previous profit-and-loss 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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