Brand Analytics Analyst (Chennai)

Analyst - Brand Analytics Job Title: Analyst - Brand Analytics Career Level: C3 Introduction to role: Are you ready to turn complex brand data into clear decisions that improve patient outcomes and drive commercial growth Do you thrive at the intersection of customer insight, advanced analytics, and real-world impact As an Analyst in Brand Analytics, you will convert data into narratives that build brand strategy, prioritization, and audience interaction across our portfolio. You will join a specialist team that partners across the enterprise, aligning analytical rigor with the evolving needs of our customer-facing leaders. From evaluating and deploying new methods to embedding capabilities at scale, your work will accelerate decision-making and help our brands compete with precision and speed. We look beyond our own four walls to learn from the best inside and outside our industry, then bring those advances to life for our teams. If you want to see your analysis influence how we invest, launch, and growthis role puts you at the heart of it. Accountabilities: Customer Insight Leadership: Develop a deep understanding of internal customers data and analytical needs, with a focus on customer-facing model leadership; translate critical questions into analytical approaches that clarify brand choices and trade-offs. Analytical Capability Building: Identify and prioritize enhancements and new analytic capabilities; lead the development, deployment, and embedding of those capabilities across the organization to scale impact and consistency. Continuous Improvement: Instill a test-and-learn attitude by continuously evaluating new quantitative analysis methods and technologies; pilot, validate, and industrialize effective approaches. Innovative Practices for Advantage: Create innovative analytical practices that deliver and sustain competitive advantage in brand performance and customer engagement. Data Access and Integration: Access and combine the right information from a variety of tools and sources; demonstrate a strong understanding of integration points across teams, data sets, and workflows to deliver cohesive insights. Data Storytelling and Influence: Summarize complex data through compelling storytelling; transform raw metrics into actionable insights; champion the use of local customer insight in strategic and resourcing decisions. External Scanning: Monitor the external environment for leading analytic capabilitiesboth within and beyond pharmaand translate them into practical applications that elevate our brands. Essential Skills/Experience: Bachelors degree or equivalent experience in one of the following or related fields: Engineering, Operations Research, Management Science, Statistics, Applied Math, Computer Science or Data Science. An advanced degree is preferred (Masters, MBA or PhD). 2 years of experience in Pharmaceutical / Biotech / Healthcare commercial analytics or secondary data analysis. 4 years of experience in application of advanced methods and statistical procedures on large and disparate datasets, specifically: Data Mining, Predictive Modelling & - Machine Learning algorithms Optimization & - Simulation Statistical Analysis & - Modelling: Design of Experiments, Time Series, Regression, Applied Econometrics and Bayesian methods. 2 years of recent experience and proficiency with SQL, Python and big data technology AWS or Hadoop or Snowflake Working knowledge in any of the data visualization or BI tools such as MicroStrategy, Tableau, PowerBI, Qlikview, D3js or similar tools Experience in MS Office products - Excel and presentation skills required Experience with IQVIA and specialty pharmacy data sets - Proficiency in manipulating and extracting insights from large longitudinal data sources, such as Claims, EMR and other patient level data sets. Statistical analysis and modelling background - ML a plus - Expertise in managing and analyzing a range of large, secondary transactional databases is required. Ability to derive, summarize and communicate insights from analyses. Organization and time management skills. Good communication and influencing skills. Able to develop and present succinct, compelling reviews of independent analyses that include insight and business implications. Strategic and critical thinking with the ability to engage, build and maintain credibility with Commercial Leadership Team. Exposure to Databricks and AI implementation, or any GenAI applications Should have an excellent analytical, problem-solving ability - Should be a quick learner and should be able to generate insights for business. Desirable Skills/Experience: Prior consulting roles in the US pharmaceutical space, or full-time employment with a US biotech or mid-/large-size pharmaceutical company Basic or advanced knowledge of the US market access landscape Basic or advanced knowledge of Market research, or Payer Analytics or Augmentation Robust leadership and interpersonal skills with .