Senior Analyst, Perception Analytics & Insights
Hyderabad - TS - IN
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingThe 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.
Partner with business stakeholders and analytics teams to shape and deliver advanced analytics and AI-led approaches that enable data-driven decision-making.
Apply predictive modeling to find patterns and support strategic decisions
Use LLMs for thematic analysis and knowledge synthesis into stakeholder outputs
Build and maintain semantic layers, taxonomies and contextual frameworks
Define evaluation methods for accuracy of analytics and AI outputs, including bias and hallucination
Present complex analyses as clear, actionable insights and executive-ready presentations
From the employer’s posting
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
Partner with business stakeholders and analytics teams to shape and deliver advanced analytics and AI-led approaches that enable data-driven decision-making.
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.
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.
Translate complex analyses into clear, actionable insights through concise storytelling, visualizations, and executive-ready presentations
What you’ll bring
All qualificationsCore experience
- 3-5 years career experience preferred, including 2+ years of experience in data analytics.
- Ability to translate business questions into actionable analytics and reporting
- Proven ability to work collaboratively in a fast-paced, matrixed environment
- 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
Qualification wording
3-5 years career experience preferred, including 2+ years of experience in data analytics.
Ability to translate business questions into actionable analytics and reporting
Proven ability to work collaboratively in a fast-paced, matrixed environment
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
Education & alternatives
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.
Tools in this posting
- Python
- R
- SQL
- Databricks
- Power BI
- Spark
Source — Tool mentions in context
- 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.
- 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
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 27, 2026 · 1 day ago
- Recorded sightings
- 7
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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- Have your resume and examples of relevant work ready.
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- Ask the employer about the pay range before committing time to the process.
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Job description
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 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. Learn more at https://careers.bms.com/ways-of-working.
Supporting People with Disabilities
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.
Candidate Rights
BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
For roles based in Los Angeles County only: If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/
For roles based in Washington state only: If you live in or expect to work from Washington State if hired for this position, please visit this page for important information about the Washington Fair Chance Act.
Data Protection
We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection.
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
If this posting is missing required information required by local law or incorrect, contact BMS at TAEnablement@bms.com with the Job Title and Requisition number. Do not send application-related inquiries to this email. To check your application status, please login to your Candidate Home Account.
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- Pay
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- Location & working pattern
Hyderabad - TS - IN
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. Learn more at https://careers.bms.com/ways-of-working. Supporting People with Disabilities
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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