Senior Analyst, Perception Analytics & Insights

Bristol-Myers Squibb; Hyderabad; Sur place; INR 1 800 000 - 3 000 000; Plein temps

Résumé du poste

Bristol Myers Squibb in Hyderabad is seeking a Senior Analyst, Perception Analytics and Insights to drive advanced analytics across internal and external data sources, including social and digital signals. You will translate business questions into scalable analytical approaches and apply AI-enabled methods to generate actionable insights for decision-makers.

Key responsibilities include partnering with stakeholders, handling large datasets, and developing narrative, visual, and executive-ready

Qualifications

• BA/BS required; advanced degree preferred in life sciences, data science, or engineering.
• 3–5 years of data analytics experience, with 2+ years in analytics.
• Ability to translate business questions into actionable analytics and reporting.
• Strong written and verbal communication skills for diverse stakeholders.
• Experience collaborating in fast-paced, matrixed environments.

Responsabilités

• Partner 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, or 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 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.

Connaissances

Python

SQL

Machine learning

Data analytics

Communication

Storytelling

Formation

BA/BS degree

Advanced degree in life sciences/data science/engineering

Outils

Databricks

Spark

Power BI

Description du poste

At Bristol Myers Squibb, our employees often ask, \"Who are you working for?\"-a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.

Position 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 methodologies.

Roles & Responsibilities

• Partner 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 competencies

• Strong 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 modeling, enabling contextual analytics and improved insight discovery.
• Familiarity with agentic AI frameworks, multi-step workflows, and LLMOps practices (prompt design, evaluation, monitoring) to support scalable AI-driven analytics.
• Strong communication and storytelling skills, with the ability to translate complex analytical and AI concepts into actionable insights for diverse stakeholders.

Experience

• BA/BS required; advanced degree preferred with special consideration for degrees in life/physical sciences, applied sciences (computer science, mathematics, data science), or engineering
• 3-5 years career experience preferred, including 2+ years of experience in data analytics.
• Ability to translate business questions into actionable analytics and reporting
• Strong written and verbal communication skills, with the ability to simplify complex information
• Proven ability to work collaboratively in a fast-paced, matrixed environment

Technical Skills (Preferred)

• Strong foundation in analytics, machine learning, and predictive methods to solve complex business problems
• Proficiency in SQL, Python/R, with experience working on large datasets using Databricks/Spark and visualization tools such as Power BI
• Experience applying AI/ML, NLP, and text analytics to extract insights from structured and unstructured data
• Ability to integrate new tools, AI capabilities, and advanced analytics tec