CoreHRx Jobs

Apply in one click, save jobs and take free mock tests.

Register free Log in
Hiring? Post jobs with CoreHRx
My account
user

View & update profile

Analyst - US Commercialization Decision Intelligence & MMx Solutions

Bristol Myers Squibb

Full time
Experience
1–3 years
Location
India
Work mode
Not stated
Salary
₹11L – ₹25L a year estimatetypical for IT Jobs in India, 904 posts
Posted 8 days ago

Free · takes a minute · your resume fills your profile

CoreHRx never asks candidates for money. If anyone does, .

Role at a glance

You will
  • Analytics Delivery & AI Enablement
  • Support the development and delivery of analytical solutions under the guidance of senior analysts and team leads.
  • Apply foundational analytics, decision science, and AI/ML techniques to support US Commercial initiatives across brand strategy…
Experience
1–3 years
Education
Bachelor's degree
Must-have skills
Data Analysis

How well do your skills match this job?

Sign in to see your fit: the skills, experience and location this job asks for, checked against your profile.

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.


BMS Hyderabad is an integrated global hub where our work is focused on helping patients prevail over serious diseases by building sustainable and innovative solutions. This important science, technology, and innovation center will support a range of technology and drug development activities that will help us usher in the next wave of innovation.

Decision Analyst I

Summary: The Decision Analyst will play an instrumental role for BMS, as they will be responsible for applying advanced statistical analysis and optimization techniques to support data-driven decision-making processes. The Decision Analyst will develop and implement descriptive/explanatory models, decision support models, segmentation strategies, portfolio analyses, test/experimental designs, and measurement frameworks to provide actionable insights and recommendations that enhance business performance and drive growth in the region.


Roles & Responsibilities

Analytics Delivery & AI Enablement

  • Support the development and delivery of analytical solutions under the guidance of senior analysts and team leads.
  • Apply foundational analytics, decision science, and AI/ML techniques to support US Commercial initiatives across brand strategy, omnichannel engagement, and resource allocation.
  • Translate well-defined business questions into analytical tasks, execute analyses, and summarize findings.
  • Ensure accuracy, quality, and adherence to analytical best practices in all deliverables.

Stakeholder Support & Business Understanding

  • Collaborate with US Commercial stakeholders, Global Analytics, OCx, Marketing, and BIT to understand business context and analytical requirements.
  • Support preparation of analytical outputs, presentations, and dashboards for stakeholder discussions.
  • Clearly communicate results, assumptions, and limitations with guidance from senior team members.
  • Incorporate stakeholder feedback to refine analyses and outputs.

Omnichannel & Commercial Analytics

  • Execute analytics supporting personal and non-personal promotion channels, including field force, email, web, paid media, social, and third-party platforms.
  • Support development and tracking of performance metrics related to reach, engagement, and effectiveness.
  • Assist in test-and-learn initiatives, A/B tests, and basic quasi-experimental analyses.
  • Identify trends, anomalies, and opportunities in data and escalate insights to senior team members.

Team Collaboration & Learning

  • Work collaboratively within project teams, contributing to shared goals and timelines.
  • Learn and adopt standard analytical frameworks, tools, and coding best practices used by the team.
  • Participate in knowledge-sharing sessions, training programs, and peer reviews.
  • Demonstrate curiosity and initiative in developing analytical and business skills.

Technical Execution & Data Handling

  • Build and maintain datasets, basic models, dashboards, and recurring reports.
  • Perform data validation, quality checks, and documentation of analytical processes.
  • Work with data engineering and BIT teams to understand data structures and resolve data issues.
  • Follow established governance, compliance, and documentation standards.

Skills & Competencies

  • Strong analytical mindset with attention to detail and data quality.
  • Good written and verbal communication skills, with the ability to explain analyses in simple terms.
  • Ability to manage assigned tasks effectively and meet deadlines.
  • Willingness to learn new tools, techniques, and business concepts.
  • Collaborative and proactive team player with a positive attitude.
  • Basic problem-solving skills and ability to apply structured thinking.

Experience & Qualifications

  • BA/BS required; degrees in life sciences, computer science, mathematics, statistics, data science, or engineering preferred.
  • 1–3 years of professional experience in analytics, data analysis, decision science, or related roles.
  • Experience working with structured datasets and performing quantitative analyses.
  • Exposure to commercial analytics, marketing analytics, or healthcare/pharmaceutical analytics is a plus.
  • Interest in applying data, analytics, and AI to solve real-world business problems.

Technical Skills (Preferred)

  • Hands-on experience with Python and/or R for data analysis and basic modelling.
  • Familiarity with statistical concepts and introductory machine learning techniques.
  • Experience with data visualization and reporting tools (e.g., R Shiny, Dash, Tableau, Power BI, or similar).
  • Exposure to collaborative analytics environments (e.g., Databricks, Git, SharePoint).
  • Basic understanding of omnichannel, digital marketing, or commercial data sources.

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.

R1606764 : Analyst - US Commercialization Decision Intelligence & MMx Solutions

Key skills

Required

Data Analysis

Preferred

Data VisualizationDatabricksDigital MarketingGitMachine LearningPower BIPythonSharePointTableauR

Soft skills

Attention to DetailCommunicationProblem SolvingTeamwork

Tags

Job market insights

882active Data Analysis jobs in India
₹11L – ₹25L advertised yearly salary for IT Jobs in India (middle half of 904 posts that show a salary; median ₹18L)
13 more open jobs at Bristol Myers Squibb

Jobs asking for Data Analysis in India also ask for

  • SQL35%
  • Python31%
  • Power BI22%
  • MS Excel16%
  • Tableau16%

From live job posts on CoreHRx, updated 7 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.

Questions about this job

What is the salary for this Analyst - US Commercialization Decision Intelligence & MMx Solutions job?

The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹11L – ₹25L a year (typical for IT Jobs in India, 904 posts).

How much experience does this job need?

The post asks for 1–3 Yrs experience.

What kind of job is this?

It is a full time job.

This page helps Indian job seekers prepare for Python interviews for backend, data engineering and data analyst roles, whether you are a fresher facing your first technical round or an experienced developer aiming for a senior position. It has 60 questions in three levels, easy, medium and hard, each with a concise sample answer and, where it helps, runnable Python 3.12 code. Topics include data structures, OOP, generators, decorators, the GIL and concurrency, type hints, testing and performance. Answer each question aloud in your own words first, then compare with the sample answer and run the code to check your understanding.

Questions you may be asked

  1. What is the difference between mutable and immutable types in Python?
  2. What is the difference between a list and a tuple?
  3. What is the difference between is and ==?
  4. What are *args and **kwargs?

Get IT jobs by email

Create a free profile and we email you new IT jobs, at most once a week.

Similar jobs

Free · takes a minute · your resume fills your profile