Data Analytics Leader for Pharmaceutical Industry
3 weeks ago
We are seeking a highly skilled and experienced Data Analytics Leader to join our team at Tiger Analytics. As a Director of Commercial Analytics, you will be responsible for leading the development and implementation of advanced analytics solutions to drive business value in the pharmaceutical industry.
About Us:
Tiger Analytics is a trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI, with a strong understanding of the pharma domain.
About the Role:
This is a unique opportunity to work on high-level analytics projects, collaborating with client stakeholders to translate business problems into actionable insights. You will lead a team of analysts to design and implement cutting-edge analytics solutions, leveraging advanced methodologies and tools such as R, Python, Databricks, Qlik, PowerBI, and Tableau.
Key Responsibilities:
Develop and execute strategic plans to drive business growth through data-driven insightsLead cross-functional teams to design and implement advanced analytics solutionsAnalyze complex data sets to identify trends and patterns, driving informed business decisionsPresentation of analytic solutions to senior management, highlighting the robustness of the solution and its potential impact on business valueCollaborate with internal SMEs to create proposals and POVs to drive growthManage P&L for account portfolios, ensuring revenue and margin goals are met10-16 years of professional experience, with at least 9 years in data analyticsAbility to engage with executive/VP level stakeholders to translate business problems into high-level analytics solution approachesExperience in managing large accounts and actively involved in account growthSolid understanding of statistical and machine learning algorithmsStrong knowledge of the Lifescience and Pharma domainStrong project management and team management skills, with ability to work with global teamsStrong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or TableauExposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plusAbility to work with IT and Data Engineering teams to help embed analytic outputs in business processesGraduate in Business Analytics or MBA or equivalent work experience-
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