Manager, Analytical Engineer

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 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 Computer Science, Physics, Math, Data Science, Pharmaceutical Science, or Engineering area of study preferred 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, ) #LI-Hybrid If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we