Senior Analyst, Perception Analytics & Insights
Bristol-Myers Squibb · Hyderabad · onsite · Posted 1d ago
Undisclosed3–5 yrsfulltimeSourced from
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About this role
Position Summary
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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.
- 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.
- 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
- 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 techniques into complex environments
We hire for skills and capabilities, not just credentials - if this role excites you, but doesn t perfectly match your resume, we encourage you to apply anyway.
How We Work Where you work matters - because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
clinical datadata privacyai frameworkslosbsLLMOpsInsight GenerationAnalyticsLarge Language Models (LLMs)Data AnalyticsDatabricksData EngineeringCommunication SkillsAdvanced AnalyticsData ModelingData ScienceArtificial Intelligence
About Bristol-Myers Squibb
Bristol-Myers Squibb
Pharma
375
employees
1887
139 years old
New York
United States
₹19.1L PA avg
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About
We are a global biopharmaceutical company whose mission is to discover, develop and deliver innovative medicines that help patients prevail over serious diseases. At Bristol Myers Squibb, we work every day to transform patients’ lives through science. We combine the agility of biotech with the reach and resources of an established pharmaceutical company to create a global leading biopharma company powered by talented individuals who drive scientific innovation.
We have the brightest people in the industry and believe that their diverse experiences and perspectives help to bring out our best ideas, drive innovation and achieve transformative business results. Each day, our employees around the world work together for patients – patients are at the center of everything we do. They inspire us. They are the reason we come to work each day.
We are proud of the advancements we have made in oncology, hematology, immunology, and cardiovascular disease, and we are dedicated to helping patients prevail over serious diseases through our diverse and promising pipeline and new scientific platforms. We are pursuing therapies at the forefront of scientific discovery with the goal of bringing an exciting new generation of life-changing treatments to patients. We aspire to be at the center of a vibrant healthcare innovation ecosystem, where academic research centers, biotech, and biopharma companies all contribute to continued scientific advancement.
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