Manager, Analytical Engineer

Description:

Bristol Myers Squibb is seeking to recruit on a permanent contract, Manager, Analytical Engineer.

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 transforming raw data into structured, business-ready datasets. The ideal candidate will be responsible for designing, developing, and implementing analytical workflows, ensuring that data is clean, well-modeled, and optimized for business intelligence and decision-making. 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.

Our Team: The Global Product Development and Supply (GPS) Analytics & AI Enablement (A&AIE) team within Business Insights and Technology (BI&T) partners with the Bristol Myers Squibb GPS organization to support data models for all functions within GPS. The team focuses on creating and maintaining the core GPS data layer to enable data models to support answering key business questions that will drive prioritized business decisions using advanced analytics and data science. The GPS organization at Bristol Myers Squibb supports drug development from discovery through commercialization and distribution to patients. Their scope includes portfolio strategy, manufacturing and distribution, network strategy, brand analytics, drug substance, drug product, and analytical development for small molecules, biologics, and cell therapy assets.

Note: this opportunity is open for different markets: Devens- MA, Seattle- WA and Dublin, Ireland.

Key Duties And Responsibilities
 

• 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 transform raw or semi-structured data into a contextualized data model, proposing architectural solutions 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.
   

Qualifications, Knowledge and Skills Required:
 

• 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)
• Experience with version control (e.g. Git, SVN) and Agile development
• Proven analytical and problem-solving ability
• 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 AI, ML, predictive modeling a plus
• Knowledge of data engineering tools (Airflow) and visualization tools (Tableau, Power BI, Looker)
• Familiarity with our toolkit desired: work information process tools (JIRA, Confluence, ServiceNow, MS suites); data-related tools (Oracle, Redshift, PostgreSQL, CDP Impala, Athena)