
Manager, Consumer Digital Analytics
- Chadds Ford, PA
- Permanent
- Full-time
The Manager/Senior Manager, Consumer Digital Analytics, is part of the Multichannel Strategy & Analytics team within Incyte's US Business Operations & Analytics function. This person will collaborate with Product Strategy and US Business Information Services to translate data into actionable insights (beyond KPI/scorecards) to propel Incyte's Multi-Channel Engagement (MCE) evolution, maximize the impact of consumer digital channels and tactics. The successful candidate will bring a passion for translating data into 'so what' and 'now what' to drive change, a willingness to get hands-on with data/analytics, and an aptitude for identifying gaps and opportunities. Key success factors include a propensity for against the grain thinking, a constant drive to improve upon the status quo, and strong interpersonal & storytelling skills.Essential Functions of the Job
- Business owner of consumer and Market Access Digital Performance Dashboards: design dashboards for each brand with accurate, actionable, and meaningful data visualizations, and align cross-functionally to evolve the dashboard in alignment with the MCE strategy and brand goals
- Dive into the data to run ad hoc analysis to answer key business questions, such as inflight performance and the impact of tests & optimizations
- Lead monthly & quarterly reporting of consumer digital performance for each brand to internal stakeholders & agency partners by translating data into insights and recommendations
- Support the creation & delivery of presentations to various stakeholders to support brand planning/budgeting, competitive prep, brand launches, and other key brand decisions
- Explore and evaluate new data sources/platforms
- A bachelor's degree or equivalent experience is preferred.
- 4 to 6+ years of experience in digital marketing analytics in any industry.
- 2 to 4+ years of experience with presenting analytics/insights to business end users.
- Strong communication, presentation, reasoning, and storytelling skills.
- roficiency with data analytics, visualization, interpretation.
- Hands-on experience with web analytics tools (e.g., Google Analytics, Adobe, etc.)