Within Insights and Commercial Solutions, below are the key service groups: Marketing Effectiveness (Business Analytics, Forecasting, Competitive Intelligence) Field Force Operations Commercial Consulting Brand Insights Patient access services (Pricing and market access, etc) Primary Market Research Provide analytics support to Novartis internal customers (CPOs Regional marketing and sales teams) on various projects Support and facilitate data enabled decision making for Novartis internal customers using data analysis and data science techniques/methods on internal and external (3rd party) data to solve business problems Support ICS business in building capabilities by involving in various initiatives like knowledge sharing, on-boarding and training support, support in all business-related tasks/activities, building process documentation and knowledge repositories.
Major accountabilities:
Delivering projects and managing internal customer expectations across multi-channel marketing analytics, Portfolio Analytics, Targeting and Segmentation, Predictive Analytics, Resource Allocation and Optimization, Other ad-hoc requests.
Act as a Project Manager and handle multiple projects at once. Lead a small team of Analysts/Senior Analysts in delivering projects.
Create and deliver customer requirements as agreed SLAs (timeliness, accuracy, quality, etc) and drive excellent customer satisfaction. Deliver advanced analytical and statistical solutions for various projects related to promotion evaluation, multi-channel marketing (MCM) campaign design, return on investment (ROI) analysis, resource allocation, segmentation, targeting, and other ad-hoc business questions
Support exploratory research to identify new areas of application of advanced analytics/data science in providing enhanced decision-making support. Deliver services through a structured project management approach with appropriate documentation and communication throughout the delivery of services
Automation of project codes and development of front-end delivery solutions. Support in creation and maintenance of standard operating procedures (SOPs), quality checklists that will enable excellent quality outputs within the function.
Support in developing and maintaining knowledge repositories that captures qualitative and quantitative reports of brands, disease areas, macroeconomic trends of Novartis operating markets, etc Support team leaders in recruitment and on-boarding of new associates within the organization
Comply with all internal functional operating procedures like time tracking, KPI tracking and reporting, and other internal systems and processes. Comply to all Novartis operating procedures as per legal/IT/HR requirements
Essential Requirements:
Technical Skills:
Statistical Modeling/Machine Learning
Must have: Statistical and Machine Learning techniques like Regression (esp., GLM, non-linear, etc), Classification (CART, RF, SVM, GBM, etc) Clustering, Design of Experiments, Monte Carlo Simulations, Statistical Inference, Feature Engineering, Time Series Forecasting
Good to have: Stochastic models, Bayesian Models, Markov Chains, Dynamic Programming and Optimization
Strong hands-on experience in any one of R or Python and exposure to SAS and SQL. Familiarity with Alteryx will be a bonus
Working knowledge of MS-Office (MS Excel, VBA, PowerPoint, Access)
Learning agility
Pharmaceutical industry domain/datasets knowledge - desirable
Education:
Postgraduate (or Graduate from a top Tier University) in quantitative discipline (eg Statistics, Economics, Mathematics, Computer Science, Bioinformatics, Ops Research, etc)
Experience:
Experience (5+ years) in analytics in marketing analytics, experience in pharma industry is preferable
Should have good ability to understand new data sources in short timeframe and embed them into standard analyses
A good understanding of pharmaceutical domain and data would be ideal
Strong stakeholder management skills and ability to work with multiple stakeholders
Should have worked in an international company with exposure to working in a cross-cultural environment
Strong and proactive business results focus, and proven ability to provide insights that increase productivity
Job Classification
Industry: Pharmaceutical & Life SciencesFunctional Area / Department: Data Science & Analytics, Role Category: Data Science & Machine LearningRole: Data Science & Machine Learning - OtherEmployement Type: Full time