Analyst , Data Science

Key Responsibilities:

1. 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.
2. 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
3. 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
4. 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.
5. Support in developing and maintaining knowledge repositories that captures qualitative and quantitative reports of brands, disease areas, macroeconomic trends of Novartis operating markets, etc.
6. 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:

1. Statistical Modeling Experience (Covering but not limited to, Regression, Classification, Supervised and Unsupervised Learning Methods, Optimization techniques, Predictive Models, Deep learning Models, e.g. Neural Networks, Natural Language Processing, Text Mining etc.)
2. Programming languages/tools – R, SAS, Python, SQL
3. Visualization tools – Qlikview, Qliksense, Tableau
4. Working knowledge of MS-Office (MS Excel, VBA, PowerPoint, Access)
5. Pharmaceutical industry domain/datasets knowledge – desirable
6. 
   

Education:

Graduation/Post Graduation in Business Administration, Mathematics, Economics, Statistics, Engineering or Quantitative streams

Experience:

1. Experience (Minimum 2years) in analytics in marketing analytics, experience in pharma industry is preferable

1. Should have strong quantitative and systems background

1. Strong analytical thinking with problem solving approach

1. Should have good ability to understand new data sources in short timeframe and embed them into standard analyses
2. A good understanding of pharmaceutical domain and data would be ideal. Should have worked in an international company with exposure to working in a cross-cultural environment
3. Strong and proactive business results focus, and proven ability to provide insights that increase productivity