Job Location: Hyderābād
Position Purpose:
- 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 NBS CONEXTS-I&CS 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
Your Key Responsibilities:
Your responsibilities include, but not limited to:
Delivering projects and managing internal customer expectations acrosso Multi-channel marketing analytics
o Portfolio Analytics
o Targeting and Segmentation
o Predictive Analytics
o Resource Allocation and Optimization
o Other ad-hoc requests
- Create and deliver customer requirements as per agreed SLAs (timeliness, accuracy, quality, etc.) and drive excellent customer satisfaction
Job Description for Senior Analyst – Advanced Analytics-GJFA-6-CONEXTS
I&CS Page 2 of 3
- 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 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 maintenance of standard operating procedures (SOPs), quality checklists
- Participate in various knowledge sharing sessions that enables growth and improves quality of NBS CONEXTS deliverables across the function
- 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
What you’ll bring to the role:
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.)
Programming languages/tools – R, SAS, Python, SQL
Visualization tools – Qlikview, Qliksense, Tableau
Working knowledge of MS-Office (MS Excel, VBA, PowerPoint, Access)
Pharmaceutical industry domain/datasets knowledge – desirable
Why Novartis?
769 million lives were touched by Novartis medicines in 2020, and while we’re proud of this, we know there is so much more we could do to help improve and extend people’s lives.
We believe new insights, perspectives and ground-breaking solutions can be found at the intersection of medical science and digital innovation. That a diverse, equitable and inclusive environment inspires new ways of working.
We believe our potential can thrive and grow in an Unbossed culture underpinned by integrity, curiosity and flexibility. And we can reinvent what’s possible, when we collaborate with courage to aggressively and ambitiously tackle the world’s toughest medical challenges. Because the greatest risk in life, is the risk of never trying!
Imagine what you could do here at Novartis!
Commitment to Diversity & Inclusion:
Novartis is committed to building an outstanding, inclusive work environment and diverse team’s representative of the patients and communities we serve.
Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network
Commitment to Diversity & Inclusion:
Minimum requirements
Programming languages/tools – R, SAS, Python, SQL
Visualization tools – Qlikview, Qliksense, Tableau
Working knowledge of MS-Office (MS Excel, VBA, PowerPoint, Access)
Pharmaceutical industry domain/datasets knowledge – desirable
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