Tech Stack
CloudHadoopHDFSPythonSQLTableau
About the role
- 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
- 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, Pytong, 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 etc.
- Demonstrated ability to translate strategy into action; excellent analytical skills and an ability to communicate complex issues in a simple way and to orchestrate plans to resolve issues & mitigate risks
- 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
- Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights
- Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytics solution
Requirements
- 10-16 years of professional work experience with at least 7 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
- Solid understanding of statistical and machine learning algorithms
- 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
- Hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, 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 etc.