Software-Engineer--Analytical-Engineering

Bristol Myers Squibb; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Bristol Myers Squibb in Hyderabad is hiring a Software Engineer—Analytical Engineering to build robust data models and pipelines that power self-service analytics across the organization.

You will bridge data engineering and analytics, transforming raw data into business-ready datasets, and collaborating with AI/ML teams. The role emphasizes data quality, documentation, and scalable ELT workflows using dbt, AWS, and modern BI tools.

Qualifications

• 1–3 years of analytical engineering, data modeling, or a similar role.
• Proficiency with SQL, Spark and Python.
• Knowledge of data engineering tools (AWS, Airflow) and visualization tools (Tableau, Power BI, Looker).
• Experience with version control and Agile development.
• Familiarity with dbt is a plus.
• Strong communication and ability to translate analyses to stakeholders.

Responsibilities

• Collaborate with the business to gather requirements and deliver data-products to enable data-informed decision-making.
• Develop a centralized data-layer to deliver data-products at scale to the business.
• Use ELT framework to transform raw or semi-structured data into contextualized data models (dbt, AWS).
• Partner with AI and ML teams to deliver data skeleton for AI-enabled internal tools.
• Deliver documented, tested, DRY code within DBT.
• Follow analytical lifecycle processes to deliver accurate data on time.
• Support gathering requirements and measure outcomes for analytical product plans.

Skills

SQL

Python

Spark

DBT

Data Modeling

ELT/ETL

Communication skills

Education

Bachelor's degree in Computer Science or related field

Data Science coursework

Tools

AWS

Airflow

Tableau

Power BI

Looker

Git

Confluence

JIRA

Oracle/Redshift/PostgreSQL

Job description

Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more careers.bms.com/working-with-us.
The Software Engineer of Analytics Engineering provides hands‑on technical support to help develop and maintain core data models and the core data layer, working closely with and under the guidance of senior team members. This role is ideal for an early‑career engineer who is eager to build foundational skills in developing robust, scalable, and well‑documented data models and pipelines, while supporting self‑service analytics across the organization.
We are seeking a motivated Analytical Engineer with 1‑3 years of experience to join our team. This role bridges the gap between data engineering and data analytics, focusing on transforming raw data into structured, business‑ready datasets. The ideal candidate will support the design, development, and implementation of analytical workflows, helping ensure that data is clean, well‑modeled, and optimized for business intelligence and decision‑making. This role requires foundational technical skills in data transformation, modeling, and pipeline optimization (preferably using DBT). Additionally, a successful candidate is an effective communicator who is comfortable learning to explain technical information to a variety of stakeholders.

Key Responsibilities And Major Duties

• Collaborate with the business to gather requirements and deliver data‑products to enable data‑informed decision‑making.
• As a member of the team, develop a centralized data‑layer to deliver data‑products at scale to the business.
• Use ELT framework to help transform raw or semi‑structured data into a contextualized data model (preferably using DBT), supporting architectural solutions (preferably AWS) to drive efficiency.
• Partner with AI and ML teams to deliver the data skeleton for AI‑enabled internal tools.
• Work within DBT to deliver documented, tested, and DRY (“don’t‑repeat‑yourself”) code.
• Follow analytical lifecycle process and quality frameworks to deliver accurate data to internal consumers on‑time.
• Focus on innovative solutions to increase speed‑to‑delivery and accelerate business decision‑making.
• Support gathering of business requirements, help track measurable outcomes, and assist in developing analytical product plans, learning to translate complexity for various stakeholders.

Qualifications/Degree/Certification/Licensure

• Computer Science, Physics, Math, Data Science, Pharmaceutical Science, or Engineering area of study preferred
• 1‑3 years of experience in analytical engineering, data modeling, or a similar role
• Some hands‑on experience with or exposure to dbt(Not mandatory)
• Proficiency with SQL, SPARK and Python
• Knowledge of data engineering tools (AWS, Airflow) and visualization tools (Tableau, Power BI, Looker)
• Experience with version control (e.g. Git, SVN) and Agile development
• Proven analytical and problem‑solving ability
• Developing ability to gather requirements to understand business needs and support technical solutions
• Good communication and presentation skills, with a willingness to develop the ability to explain analyses and outcomes to both technical and non‑technical stakeholders
• Familiarity with AI, ML, predictive modeling a plus
• Familiarity with our toolkit desired work information process tools (JIRA, Confluence, ServiceNow, MS suites); data‑related tools (Oracle, Redshift, PostgreSQL, CDP Impala, Athena)
• Eagerness to learn and grow within complex, cross‑functional projects that involve collaborating with team members from various functions.

If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Uniquely Interesting Work, Life-changing Careers
With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

On‑site Protocol
BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site‑essential, site‑by‑design, field‑based and remote‑by‑design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role

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 [e-mail]. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

Candidate Rights
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

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 you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at [e-mail]. Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.

R1605373 Software-Engineer--Analytical-Engineering