A global healthcare leader, Novartis has one of the most exciting product pipelines in the industry today. A pipeline of innovative medicines brought to life by diverse, talented, performance driven people. All of which makes us one of the most rewarding employers in our field. We're committed to peak performance, improving the quality of life, and embracing and leveraging diverse backgrounds, cultures and talents to achieve competitive advantage.
The Associate Director, Oncology Brand Analytics leverages various datasets & advanced statistical techniques to drive strategic thought & effective decision-making for one of the business franchises within the Oncology Business Unit (OBU). This role is part of a high performing team that provides actionable, innovative solutions to address key business questions & opportunities.
Monitor and analyze performance data and market trends to identify opportunities to improve performance of our brands and help patients. Identify root causes, patterns, trends & recommend priorities
Patient modeling and product forecasting
Measure & assess effectiveness of marketing & cross-channel initiatives
Analyze information to provide meaningful insights that enable effective, data driven decision-making
Employ creative methodologies & strategies using medical claims, prescription, and other internal and external data sources to identify potential patients that may benefit from our therapies.
Develop predictive models to uncover actionable insights and business opportunities
Explore and evaluate new data sources for HCP targeting to drive insights and innovation. Integrate digital and cross-channel analytics
Effectively communicate actionable insights and findings to all levels of the commercial organization. Provide clear recommendations for the team based upon these insights.
The position has responsibility to produce analyses for presentation up to the VP level on a regular basis
Ensure compliance of targeting and call planning process with Novartis policies including project management for process & systems to support and document compliance of the specialty exclusion process
The Novartis Group of Companies are Equal Opportunity Employers and take pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.
BS / BA required. Advanced degree in quantitative subject (e.g. statistics, economics, mathematics, social / life sciences) preferred
At least 5 years of experience in data analytics working with and deriving insights from disparate, large data sets. Applying big data analytical approaches to derive recommendations and insights
Significant computing and programming experience on PC environments using statistical packages to extract, manipulate and analyze internal and third part data (i.e. SAS, R, Excel, VBA)
Expertise with a variety of statistical analysis techniques (e.g. linear/logistic regression, cluster analysis, significance testing, factor analysis, ANCOVA)
Background in a marketing analytics or a decision sciences function and experience with advanced quantitative methods (e.g. segmentation, predictive modeling)
Excel in problem solving and develop innovative, resourceful solutions to complex, unstructured problems
Excellent communication skills. Strong ability to express insights and recommendations using both written and verbal communications
Ability to work independently with a proactive approach to meeting the business needs. Must be able to work well both independently as well as part of a broad team
Ability to synthesize and integrate multiple data sources and interpret findings. Past experience with pharmaceutical sales, marketing, and medical claims data sets (IMS, SDI, Symphony, Flatiron) a plus
Measure performance and program effectiveness via return-on-investment analysis
Knowledge of the Pharmaceutical or Healthcare industry, products and customers.
Excellent oral/written communication and interpersonal skills
Qualitative and / or quantitative market research experience
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