Senior Analyst

Aug 20, 2021

Job Description

20+ brands catering to 50+ disease areas! The team of Novartis specialists within Insights & Analytics are on a data and digital transformation journey, using analytics to generate impactful insights for Novartis medicines impacting more than 500 million patients worldwide. The team is poised to enable easier, faster and reliable decisions for Novartis divisions across the globe.
Your responsibilities include but not are limited to:
• Understand sophisticated business problems from Country/Regional/Global business functions and layout the approach and key steps in the proposed data science and analytics solution. Able to use business presentations, smart visualization tools and contextual story-telling to translate findings back to business users with a clear impact. Support CTS CONEXTS business in building capabilities by involving in various initiatives like knowledge sharing, support in all business-related tasks/activities, building process documentation and knowledge repositories
• Work on a variety of business applications including but not limited to: Customer Segmentation & Targeting, Event Prediction, Propensity Modelling, Churn Modelling, Customer lifecycle management and Lifetime Value Estimation, Recommender Systems, Launch Analytics, Marketing Mix Modelling and Revenue Optimization, Price Optimization
• Independently work on various steps of a data science project - Data mining and Exploratory Data Analysis (EDA), Feature Engineering, Statistical modelling, integration with AI/ML platform, visualization and result inferencing and presentation to stakeholders
• Automation of project codes and development of front-end delivery solutions. Ensure quality and timely completion of own projects/modelling assignments, actively manage change during the project and raise any operational risk early to project lead/supervisor.
• Assist team supervisor for development of new algorithms, methods, statistical models and business models and providing insight into structured and unstructured data. Explore and use various available pharma data sources (such as sales, contracting, promotions, social media, claims, Real-World Evidence, etc.) for improving the accuracy/application value of the analytical solution
• Participate in various knowledge sharing sessions that enables growth and improves quality of CTS 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

Minimum Requirements

What You’ll bring to the role:
• 3-5 years of relevant experience in Data Science. Experience in commercial pharma would be an added bonus.
• Technical Skills: Statistical Modeling/Machine Learning -Must have: Statistical and Machine Learning techniques like Regression (esp., GLM, non-linear, etc.), Classification (Trees, Random Forest, Boosting, SVM, CART, etc.) Clustering, Design of Experiments, Monte Carlo Simulations, Statistical Inference, Feature Engineering, Market mix modelling, Dynamic Programming and Optimization techniques, Recommender Systems, Time Series Forecasting
• Good to have: Stochastic models, Bayesian Models, Markov Chains, Deep Learning techniques on structured and unstructured data, Text mining and Natural Language Processing (NLP)
• Data mining tool and EDA for large datasets. Data science programing languages and querying databases: R, Python, SAS, SQL/Hive
• Familiarity with Alteryx will be a bonus, Exposure to dashboard or web-apps building using R-Shiny, Flask
• Good to have:Exposure to AWS and ML Pipelines on cloud. Pharmaceutical industry domain/datasets knowledge
• Soft Skills: Interpersonal and communication skills, Storyboarding and Storytelling, Advanced Excel, PowerPoint skills,Ability to operate effectively in a matrix environment. Strong team player who is dynamic and result oriented
Desirable: Post graduate (or Graduate from a top Tier University) in a quantitative discipline (e.g. Statistics, Economics, Mathematics, Computer Science, Bioinformatics, Ops Research, etc.)

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 embraces diversity, equal opportunity and inclusion. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration, and empowers our people to unleash their full potential.

Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here:
Hyderabad, AP
Full Time
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Senior Analyst

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