Senior Analyst, Perception Analytics & Insights
Hyderabad, INPosted Jul 15, 2026
Career Areas Career Stories Join Talent Community Candidate Login English English Italiano Español Français Português Norsk Deutsch 日本語 Bahasa melayu 中文 (简体) 中文 (繁體) 한국어 ภาษาไทย Nederlands Polski Yкраїнська Hrvatski Ελληνικά Magyar čeština Türkçe Pусский Haitian עברית Brazilian Português Dansk Suomi Svenska Français (Canada) Português (Portugal) Careers Home Life at BMS Career Areas Student Opportunities Events How We Recruit Career Stories Search this site Join Talent Community Candidate Login English English Italiano Español Français Português Norsk Deutsch 日本語 Bahasa melayu 中文 (简体) 中文 (繁體) 한국어 ภาษาไทย Nederlands Polski Yкраїнська Hrvatski Ελληνικά Magyar čeština Türkçe Pусский Haitian עברית Brazilian Português Dansk Suomi Svenska Français (Canada) Português (Portugal) Single PositionView All JobsSenior Analyst, Perception Analytics & InsightsHyderabad - TS - IN No longer accepting applications.Job IDR1603098Date posted06/02/2026DepartmentBIAPosition Summary: The Senior Analyst, Perception Analytics and Insights, enables high-impact insight generation for the Perception Analytics group by driving advanced analytics across internal and external (social/digital) data sources. The role partners with cross-functional stakeholders to translate business questions into scalable analytical approaches. The senior analyst focuses on structuring and analyzing diverse datasets, applying business context to support tailored analyses. The role also leverages AI/ML techniques to extract meaningful signals from unstructured data and applies AI-enabled approaches such as thematic synthesis and pattern detection to accelerate insights. Additionally, the analyst contributes to reporting and innovation initiatives, with a focus on enhancing analytical depth, scalability, and decision impact through AI-driven methodologiesRoles & ResponsibilitiesPartner with business stakeholders and analytics teams to shape and deliver advanced analytics and AI-led approaches that enable data-driven decision-making.Work with large-scale structured and unstructured datasets (e.g., clinical data, publications, real-world evidence, and digital signals) to uncover insights aligned to key business questions.Apply predictive modeling and advanced analytical techniques to identify patterns, generate foresight, and support strategic and operational decisions.Leverage large language models (LLMs) and AI capabilities to enhance insight generation, including thematic analysis, knowledge synthesis, and narrative development for stakeholder-ready outputs.Enable analytics-driven AI use cases, such as knowledge-grounded querying, retrieval-based insight discovery (RAG), and intelligent assistants that improve access to insights.Shape and maintain semantic layers, taxonomies, and contextual frameworks to ensure consistent interpretation of data across analytics use cases.Define and apply evaluation approaches to assess quality, accuracy, and reliability of analytics outputs and AI-generated insights, including mitigation of bias and hallucination.Collaborate with data engineering and platform teams to ensure availability of high-quality, analytics-ready data and scalable workflows supporting repeatable insight generation.Translate complex analyses into clear, actionable insights through concise storytelling, visualizations, and executive-ready presentations for both technical and non-technical audiences.Skills and competenciesStrong foundation in machine learning and predictive analytics, with ability to solve complex business problems using data-driven approaches.Proficiency in Python and SQL, with experience working on large datasets and building scalable analytical workflows on modern platforms (e.g., Databricks, Spark).Hands-on experience leveraging LLMs and AI techniques for analytics, including retrieval-augmented insights, text analytics, and knowledge synthesis from unstructured data.Understanding of embedding-based approaches, vector search, and semantic data...