General Medicines
Là où les idées audacieuses et la science de pointe
façonnent l’avenir des soins

Job title Senior Analyst – Business Analytics 

• Location Hyderabad % of travel expected Travel required as per business need 

About the job

Go-To-Market Capabilities (GTMC) Hub is an internal Sanofi resource organization based in Hyderabad, India and is set up to centralize processes and activities to support Specialty Care, Vaccines, General Medicines, CHC, CMO, and R&D, Data & Digital functions​. GTMC strives to be a strategic and functional partner for tactical deliveries to Medical, HEVA, and Commercial organizations​ in Sanofi globally. 

At our Sanofi we are leveraging analytics and technology, on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision-making that will allow us to tackle some of the world’s greatest health threats. Within our Insights & Analytics organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management. 

Deliverables support planning and decision making across multiple functional areas such as finance, manufacturing, product development and commercial. In addition to ensuring high-quality deliverables, our team drives synergies across the franchise, fosters innovation and best practices, and creates solutions to bring speed, scale and shareability to our planning processes.  

We are looking for a senior analyst to support our Business Analytics team. Robust analytics is a priority for our businesses, as the product potential has major implications to a wide range of disciplines. It is essential to have someone who understands and aspires to implement innovative analytics techniques to drive our insights generation across GBUs. 

Self Performance

• Project execution, ensuring quality and timelines  

• Insight generation and storyboarding 

• Work to develop industry-leading analytics capabilities 

• Employ tools, technologies, and processes to constantly improve quality and productivity 

• Manage projects efficiently and effectively  

Processes

• Contribute to overall quality enhancement by ensuring high standards for the outputs produced by the team 

• Secure adherence to compliance procedures and internal/operational risk controls in accordance with all applicable standards 

• Use latest tools/technologies/methodologies and partner with internal teams to continuously improve data quality and availability by building business processes that support global standardization 

Stakeholder Management

• Work collaboratively with the stakeholder teams to prioritize work and ensure timely delivery of requests 

• Maintain effective relationship with the end stakeholders within the allocated GBU and tasks, with an end objective to develop analyses as per requirements 

Technical skills

• Expert in end-to-end delivery of Marketing Mix Modelling projects 

• Proficiency in statistical concepts like hypothesis testing, regression analysis, time series analysis, and probability theory 

• Understanding of mathematical concepts like linear algebra, calculus, and optimization 

• Expertise in machine learning algorithms (supervised, unsupervised, and reinforcement learning). 

• Experience with data mining techniques like clustering, classification, and association rule mining. 

• Knowledge of feature engineering, model selection, and hyperparameter tuning. 

• Fluency in programming languages like Python (with libraries like NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch) 

• 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. 

• Ability to break down complex problems into smaller, manageable steps. 

• A curious and inquisitive mindset to explore data and discover new insights. 

• Strong project management abilities; capable of prioritizing and leading multiple projects simultaneously  

• Working experience of Python and SQL 

• Excellent planning, design, project management and documentation skills 

• Excellent management of customer expectations, listening, and multi-tasking skills. 

• Experience with pharmaceutical datasets (e.g. IQVIA, Symphony, Komodo, Veeva, Salesforce) 

• An 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 

Good-to-have skills

• Experience with cloud platforms like 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 like Tableau, Power BI, or Python libraries (Matplotlib, Seaborn). 

Experience 3-6 years of relevant work experience with solid understanding of principles, standards, and best practices of Pharma Commercial Analytics, including Business Analytics  

Education Bachelors or Masters degree in areas such as Information Science/Operations/Management/Statistics/Decision Sciences/Engineering/Life Sciences/ Business Analytics or related field 

Soft skills Strong learning agility; Ability to manage ambiguous environments, and to adapt to changing needs of the business; Good interpersonal and communication skills; strong presentation skills is a must; Team player who is curious, dynamic, result oriented; Ability to operate effectively in an international matrix environment, with ability to work across time zones; Demonstrated leadership and management in driving innovation and automation leveraging advanced analytical techniques 

Languages Excellent English communication skills – written and spoken 

Pursue progress, discover extraordinary! Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing a desire to make miracles happen. So, let’s be those people! 

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity! 

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! 

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