- 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
- Tempo Performance Reporting & Dashboards
- Personalization
- PwD Journey Analysis & Tracking
- Requires knowledge of understanding of Google Analytics / Google Firebase
- BGM / CGM, Insulin usage analytics
- Exploration of data to seek insight tying back to behaviors and profile data (age, gender, location, demographic, socioeconomic data)
- Support for US and OUS Markets (OUS will have special needs by affiliate)
- Support for Pen Platform and Pump platform analytics
- There may be crossover analytics associated here between the two platforms
- 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
Basic Qualifications :
- Bachelor's degree or equivalent in Computer Science, Information Technology, Advanced Analytics and Data Science, or other relevant degree area; Master's degree preferred in these disciplines
- Strong knowledge and familiarity with pharmaceutical or MedTech Marketing, Medical, RWE, Safety and Regulatory functions
- Preferred ; Strong knowledge of latest generation analytics tools and capabilities, Statistical methods, Experimentation, Machine Learning & AI
- Experience with the following technologies: Cloud platforms like AWS & Azure, Tableau, Power BI, Python, R & SQL
Additional Skills/Preferences :
- High learning agility
- Proven ability to rally resources to achieve project and business results
- Candidates should be comfortable working in ambiguity/whitespace and in working in a fast-moving environment
- Exceptional listening skills, with an ability to ask the right questions and uncover hidden insights
- Ability to collaborate with strategists, consultants, creatives, and technologists
- Excellent communication (written & verbal), storytelling, and interpersonal influencing skills and prioritization skills with attention to detail
- Familiarity with CCPA and other data regulations
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