Salary
💰 $226,000 - $260,000 per year
Tech Stack
PythonSQLTableau
About the role
- Development and implementation of best-in-class strategies to align advanced analytics and data science initiatives with overall business goals
- Act as strategic partner to frame, investigate, and answer key business questions related to performance reporting, including executive reporting and interactions with senior commercial leaders.
- Develop and execute creation of in-house insights-ready reports and dashboards to drive actionable insights from internal and secondary data sources.
- Lead the evaluation, tracking, and reporting of brand performance metrics and KPIs through compelling weekly, monthly and quarterly presentations with brand and leadership teams
- Connect insights together to tell a compelling and persuasive story and deliver clear and actionable recommendations.
- Partner with colleagues to advance the use of data sources and reporting, including I&A, Sales & Marketing, Agency partners, Market access, RWD, etc.
- Be accountable for continuous improvement and identification/utilization of new capabilities to maximize the competitive advantages of the business
- Hands-on ability to leverage diverse datasets to identify insights that inform marketing and sales strategies, shape the customer experience, and elevate impact of omnichannel programs.
- Oversee data quality management process for assigned brand/s with external and internal data providers to ensure timely, accurate and complete patient and specialty pharmacy data. Act as a key “go-to person” for resolving field reporting and data inquiries issues.
- Expertise in leading vendors/offshore data partners on connecting, integrating, and synthesizing analysis into a meaningful ‘so what’ recommendation
- Provide thought partnership in building and standardizing commercial reporting.
Requirements
- Bachelor’s Degree (BS/BA) in an analytic discipline - engineering, mathematics, statistics, economics, etc.
- Master’s degree in a similar field or an MBA preferred.
- 10+ years of progressive leadership experience in analytics.
- Strong analytical, coding skills (such as: Python, R, SQL, etc.), MS Excel and PowerPoint skills.
- Strong knowledge of internal sales data (i.e. SP, field execution, promotional metrics) and third party pharmaceutical sales and script data (DDD, NSP, Xponent, DataView, longitudinal patient data, claims data, etc.)
- Advanced knowledge and experience developing BI tools for commercial pharma applications (Power BI, Tableau, Qlik, MicroStrategy, etc.)
- Expertise in data analysis and in building successful strategies using advanced data driven analysis and reporting (next-best action etc) that drive business results.
- Strong leader with the ability to persuade and influence others, and develop/deliver impactful presentations
- Excellent organizational skills and the ability to balance multiple demands
- Excellent communication, presentation and interpersonal skills
- Proven and successful team player
- Must be able to meet deadlines, stay organized, and be self-sufficient