Director – Supply Chain Analytics, Healthcare Domain

Role Overview

• Work on the latest applications of data science to solve business problems in the Healthcare domain
• Work directly with client stakeholders to translate business problems into high-level analytics solution designs
• Experience in Supply Chain, advanced analytics approaches and methodologies and best practices of leveraging data to drive informative decisions. In-addition experience in the Finance and Cash Management space is good to have.
• Proficiency in using advanced analytics to drive business value, including ROI/value assessment, digital KPI tracking, campaign measurement, etc
• 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 or Tableau for visualization.
• Experience working across all levels of management and consulting with key business stakeholders.
• Present analytical solutions to business audiences, highlighting the 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 developing plans to help operationalize analytics solutions
• Explore opportunities with current and new buying centers and will collaborate with internal Tiger SMEs to create the right POVs / proposals to help drive growth.

Requirements

• 12-16 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

Tech Stack

• Cloud
• Hadoop
• HDFS
• Python
• SQL
• Tableau

Benefits

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.