Key Responsibilities:

• Project Execution: as individual contributor, responsible for
  • Build and exhibit deep expertise on available data sets and supports data enabled decision making using patient and prescription data from external suppliers (APLD, Xponent, DDD, NPA, FIA, MMIT, etc) and internal data for various other sources
  • Ensure high stakeholder satisfaction through consistent delivery of high quality, timely and insightful outputs throughout analytics value chain on various objectives related to
    • patient journey, multichannel engagement, segmentation, targeting, etc. e.g. analysis on source of business, persistency, test and control, engagement segmentation, channel spend optimization, trade off analysis, etc
    • performance analytics for dashboards and reports pertaining to Lilly brand performance, market monitoring, new brand launch performance trackers, Institutional/KAM performance, customer analysis, etc
    • data support through data mining and warehousing
  • Developing into a trusted advisor by actively participating in various phases of the project including kick-off, methodology development, execution, insight generation and data visualization and results presentation to various stakeholders
  • Participating in meetings with stakeholders and communicating the final outputs and recommendations

• Project Delivery: as team member, supporting the team lead in driving
  • quality, speed, value and compliance throughout the analytics value chain
  • project management for seamless project execution, prioritization and high quality delivery
  • creation and maintenance of standard operating procedures (SOPs), quality checklists that will enable excellent quality outputs
  • shared learning forums to identify challenges and establish best practices
  • expansion of analytical capability of the team by taking on more complex projects and delivering value
  • process improvements and implementation of analytical best practices

Education Requirements

• Degree in quantitative discipline i.e. Statistics, Mathematics, Finance, Engineering or Computer Sciences from Tier-I institute. MBA/post-graduation will be preferred

Experience related requirements

• 2-5 years of analytics experience with demonstrated ability to think strategically in an ambiguous environment in analytics
• Experience in pharma industry is preferable
• Technical Skills
  • Advanced Experience in SAS/R – certification preferable
  • Strong experience in SQL
  • Experience in data visualization tools e.g. Tableau
  • Working knowledge of patient-level databases (IQVIA LAAD, SHS etc) and other syndicated data sources (physician data, payer data etc)
  • Advanced MS-office skills (MS-Excel and MS-PowerPoint)
  • VBA and MS-Access knowledge
• Behavioral Skills
  • Strong work ethic and personal motivation
  • Good presentation skills
  • Interpersonal and communication skills with ability to work across time zones
  • Ability to operate effectively in an international matrix environment
  • Strong stakeholder management skills
  • Strong team player who is dynamic and result oriented