Manager, Analytical Engineer

Bristol Myers Squibb; New Brunswick (NJ); On-site; USD 116,000 - 141,000; Full time

Benefits offered by this job

Flexible Time Off

11 paid company holidays

Volunteer days

Job summary

Bristol Myers Squibb is seeking a Manager of Analytics Engineering in the New Brunswick, NJ area to lead hands-on data modeling, core data layer infrastructure, and scalable pipelines. You will enable self-service analytics and govern data architecture across multiple domains.

The role requires strong SQL, Python/R, and experience with dbt and Databricks, plus collaboration with agile teams to deliver well-documented, tested code and robust data products for the business.

Qualifications

• BA/BS or higher in Computer Science, Physics, Math, Data Science, Pharmaceutical Science, or Engineering.
• 4–6 years of relevant work experience.
• Proficiency with SQL.
• Experience scripting (Python/R).
• Working knowledge of DAG-based and asset-based pipeline design.
• Experience with version control (Git, SVN) and Agile development.
• Excellent communications and presentation skills.

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.
• Harmonize data across manufacturing sites, software, and platforms for enterprise-level consumption.
• Design scalable architectural solutions to drive efficiency.
• Define orchestration strategies across multiple data domains.

Skills

SQL

Python/R

Version control

Agile development

Education

BA/BS or higher in CS/Math/Data Science/Engineering

Tools

dbt

Databricks

Git

JIRA

Confluence

ServiceNow

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.

Job Description: The Manager of Analytics Engineering provides hands‑on technical expertise to develop, deploy, and maintain both core data models and core data layer infrastructure. This role is ideal for someone who thrives on building robust, scalable, and well‑documented data models and pipelines, while also enabling self‑service analytics across the organization.

We are seeking a highly skilled Analytical Engineer to join our team. This role bridges the gap between data engineering and data analytics, focusing on data architecture, quality, and governance. The ideal candidate will have experience designing and maintaining dimensional data models (star/snowflake schemas), including fact and dimension table design, slowly changing dimensions (SCD), and conformed dimensions across multiple subject areas. This role requires strong technical expertise in data transformation, modeling, and pipeline optimization. Additionally, a successful candidate is an excellent communicator who can effectively explain complex technical information to a wide 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.
• Develop a centralized data‑layer to deliver data‑products at scale to the business.
• Incorporating domain‑specific data marts into a centralized, foundational core.
• Harmonize data across manufacturing sites, software, and platforms for enterprise‑level consumption.
• Designing highly organized and scalable architectural solutions to drive efficiency.
• Define orchestration strategies across multiple data domains.
• Work within a governed metadata framework where documentation is a delivery requirement.
• Work within Data Build Tool (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.

Qualifications/Degree/Certification/Licensure

• BA/BS or higher required in Computer Science, Physics, Math, Data Science, Pharmaceutical Science, or Engineering area of study
• Requires 4-6 yrs of relevant work experience.
• Proficiency with SQL
• Experience scripting (e.g. Python/R)
• Working knowledge of DAG‑based and asset‑based pipeline design
• Experience with version control (e.g. Git, SVN) and Agile development
• Proven analytical and problem‑solving ability
• Experience working in or alongside agile/scrum teams highly desired
• Expertise gathering requirements to understand business needs and define technical solutions
• Excellent communications and presentation skills. Ability to explain complex analyses and outcomes to both technical and non‑technical stakeholders
• Hands‑on experience with dbt a plus
• Familiarity with our toolkit desired: work information process tools (JIRA, Confluence, ServiceNow, MS suites); data‑related tools (Databricks, DBT)

Compensation Overview

New Brunswick - NJ - US: $116,450 - $141,110

The starting pay range(s) listed above is for full‑time employees (FTE). You may also be eligible for additional discretionary incentive cash and stock opportunities. We determine starting pay thoughtfully – carefully considering the nature of the role, required skills, work location, schedule and the knowledge and experience you bring. Final compensation is guided by pay equity principles and applicable employment laws. Compensation programs are reviewed on an ongoing basis and may be adjusted over time to reflect evolving market factors, and individual, team or Company performance.

Benefits

Subject to the terms and conditions of the applicable plans then in effect, you may be eligible to participate in our comprehensive benefit plans – including wellbeing support, retirement and financial protection benefits, and insurance offerings (medical, dental, vision, life and disability).

U.S.-based exempt employees are eligible for Flexible Time Off (FTO), which provides paid time off without a set accrual limit, subject to manager approval, along with 11 paid company holidays each year.

Non‑exempt employees, RayzeBio employees, and employees located in Puerto Rico receive 160 hours of paid vacation annually for new hires (subject to manager approval), 11 paid company holidays, and 3 optional holidays.

Depending on eligibility, employees may also have access to additional time‑off benefits, including paid sick leave, up to two paid volunteer days per year, summer hours flexibility, and leaves of absence for medical, personal, parental, caregiver, bereavement, or military needs. Eligible employees also enjoy an annual Global Shutdown between Christmas Day and New Year's Day.

U.S.-based job seekers can explore full benefit offerings at https://careers.bms.com/benefits

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 [e-mail]. 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/

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 [e-mail] 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.

R1605963 : Manager, Analytical Engineer