Senior Analyst – Business Analytics

Overview

Senior Analyst within Sanofi's Insights & Analytics organization, supporting the US Advanced Analytics team with marketing and sales analytics using AI/ML and marketing mix modelling in the Go-To-Market Capabilities (GTMC) Hub in Hyderabad.

What you'll do

• Lead marketing and sales-related problem-solving activities, leveraging AI/ML techniques.
• Develop models (demand and patient, MMM, etc.) using key business insights to support commercial excellence.
• Evaluate the effectiveness of various promotion and marketing programs in the US leveraging Marketing Mix Models (Bayesian Models), promotion response models and ROI analysis.
• Assess the impact of channel dynamics, including field force and multi-channel modeling.
• Optimize promotion resource allocation through scenario-based simulation.
• Perform customer segmentation, market performance analysis and trend break detection, HCP/DTC media channel effectiveness, and patient prediction and driver analyses.
• Ensure consistent metrics as inputs and outputs of models.
• Prepare high-quality, accurate analysis using cutting-edge analytical methods.
• Frame the key marketing questions to guide analysis and work plan.
• Communicate model results and implications to business partners.
• Work cross-functionally, gather requirements, analyze data, and generate insights and reports for the business.
• Contribute to overall quality enhancement and secure adherence to compliance procedures and internal/operational risk controls.
• Use the latest tools, technologies and methodologies and partner with internal teams to improve data quality and availability.
• Work collaboratively with stakeholder teams to prioritize work and ensure timely delivery of requests.
• Partner with marketing, media and commercial stakeholders to answer key business questions and support strategic decision making.

What you'll need

• 4-6 years of relevant work experience with solid understanding of principles, standards and best practices of Pharma Commercial Analytics, including Business Analytics.
• Bachelor's or Master's degree in Information Science, Operations, Management, Statistics, Decision Sciences, Engineering, Life Sciences, Business Analytics or a related field.
• Expert in end-to-end delivery of Marketing Mix Modelling projects.
• Proficiency in statistical concepts including hypothesis testing, regression analysis, time series analysis and probability theory.
• Understanding of linear algebra, calculus and optimization.
• Expertise in machine learning algorithms (supervised, unsupervised and reinforcement learning).
• Experience with data mining techniques such as clustering, classification and association rule mining.
• Knowledge of feature engineering, model selection and hyperparameter tuning.
• Fluency in Python with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow and PyTorch.
• Working experience of Python and SQL.
• Ability to write efficient and clean code for data manipulation, analysis and model development.
• Strong analytical skills to identify patterns, trends and anomalies in data.
• Strong project management abilities, capable of prioritizing and leading multiple projects simultaneously.
• Excellent planning, design, project management and documentation skills.
• Excellent management of customer expectations, listening and multi-tasking skills.
• Experience with US pharmaceutical datasets (e.g. IQVIA, Symphony, Komodo, Veeva, Salesforce).
• Aptitude for problem solving and strategic thinking.
• Ability to synthesize complex information into clear and actionable insights.
• Proven ability to work effectively across all levels of stakeholders and diverse functions.
• Solid understanding of pharmaceutical development, manufacturing, supply chain, sales and marketing functions.
• Strong learning agility and ability to manage ambiguous environments and adapt to changing business needs.
• Good interpersonal and communication skills; strong presentation skills.
• Ability to operate effectively in an international matrix environment across time zones.
• Demonstrated leadership and management in driving innovation and automation using advanced analytical techniques.
• Excellent English communication skills, written and spoken.

Nice to have

• Experience with cloud platforms such as AWS, GCP or Azure, and knowledge of cloud-based data services and tools.
• Experience with machine learning operations, including model deployment, monitoring and retraining.
• Understanding of data pipelines, data warehousing and data lakes.
• Proficiency in data visualization tools such as Tableau, Power BI, or Python libraries (Matplotlib, Seaborn).
• Proficiency with Generative AI tools and prompt engineering, with hands-on experience with LLMs and AI platforms for analytical tasks.

Details

• Location: Hyderabad, India.
• Travel required as per business need.
• Permanent, full-time position.