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Associate Director – Commercial Analytics, Pharma & Lifescience
Tiger AnalyticsAssociate Director/Director in Commercial Analytics with a focus on Pharma and Lifescience at Tiger Analytics, driving data-driven business solutions and client relationships.
Tech Stack
Tools & technologiesCloudHadoopHDFSPythonSQLTableau
About the role
Key responsibilities & impact- Work on the latest applications of data science to solve business problems in Pharma and Lifescience domain
- Work directly with client stakeholders to translate business problems into high-level analytics solution designs
- Knowledge of advanced analytics approaches and methodologies and best practices of leveraging data to drive informative decisions
- Proficiency in using advanced analytics to drive business value including ROI/value assessment, digital KPI tracking, campaign measurement, etc
- Responsible for account management, client relationships, and account growth
- Responsible for scaling pilots / POCs to a long-term transformative program and delivering continuous business value
- Experience leveraging complex data to drive business decisions
- Hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization
- Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo
- Experience working with all levels of management and consulting with key business stakeholders
- Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value
- Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytics solution
- Explore opportunities with current and new buying centers and collaborate with internal Tiger SMEs to create the right POVs / proposals to help drive growth
- Responsible for P&L for your account portfolios managing revenue and margin goals
Requirements
What you’ll need- 10-16 years of professional work experience with at least 9 years in data analytics
- Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach
- Experience in managing large accounts and active involvement in account growth
- P&L ownership in the past would be an added advantage
- Solid understanding of statistical and machine learning algorithms
- Strong knowledge of Lifescience and Pharma domain
- Strong project management and team management skills and ability to work with global teams
- Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau
- Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus
- Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes
- Graduate in Business Analytics or MBA or equivalent work experience
Benefits
Comp & perks- Significant career development opportunities exist as the company grows
- Unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment
- High degree of individual responsibility
- Equal employment opportunities 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
ATS Keywords
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Hard Skills & Tools
Data AnalyticsPredictive AnalyticsMachine LearningSQLRPythonQlikTableauDigital KPI TrackingCampaign Measurement
Soft Skills
Project ManagementTeam ManagementCommunicationStakeholder EngagementPresentation Skills
Certifications
Graduate in Business AnalyticsMBA