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If you are passionate about leveraging analytics consulting to address critical challenges in the Pharma & Life Sciences sector, this role is an excellent fit for you. Join us in revolutionizing the healthcare landscape through advanced analytics.
Responsibilities
- Lead AI and analytics-driven initiatives to solve complex business problems for Pharma and Life Sciences clients.
- Manage and mentor cross-functional teams including consultants, analysts, data scientists, and ML engineers.
- Engage closely with client stakeholders and onsite teams to understand business priorities and challenges.
- Facilitate client workshops to identify high-impact business problems suitable for AI and advanced analytics solutions.
- Translate ambiguous business requirements into clear, well-defined analytical problem statements.
- Oversee delivery of commercial analytics use cases such as MMX, NBX, digital transformation, patient segmentation, payer segmentation, and patient journey analytics.
- Ensure high-quality execution, timely delivery, and measurable business outcomes across engagements.
- Present insights, recommendations, and results to senior client stakeholders
- 6-12 years of relevant experience delivering advanced analytics solutions.
- Strong domain expertise in Pharma or Life Sciences, within an analytics consulting environment.
- Hands-on experience with commercial analytics use cases such as MMX, NBX, patient analytics, payer analytics, and patient journey analysis
- Good understanding of healthcare and life sciences data sources such as APLD, Truven, Optum, Symphony, or similar datasets.
- Proven ability to work with AI and advanced analytics techniques to drive business value.
- Experience leading and managing cross-functional project teams.
- Strong problem-solving skills with the ability to structure and clarify ambiguous business problems.
- Excellent communication, stakeholder management, and presentation skills
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
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