Senior Analyst, Perception Analytics & Insights

Overview

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.

What you'll do

• 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.

What you'll need

• BA/BS required
• 3-5 years career experience preferred, including 2+ years of experience in data analytics
• 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
• 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

Nice to have

• Advanced degree, with special consideration for degrees in life/physical sciences, applied sciences (computer science, mathematics, data science), or engineering
• 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

Details

• Location: Hyderabad, Telangana, India
• Work model assigned based on core responsibilities (site-essential, site-by-design, field-based or remote-by-design)