Manager, Analytical Engineer

Bristol Myers Squibb•New Brunswick, NJ

62d•$114,580 - $152,728•Hybrid

About The Position

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.

Requirements

3 or more years' experience
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

Nice To Haves

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)

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.

Benefits

Medical, pharmacy, dental and vision care.
Wellbeing support such as the BMS Living Life Better program and employee assistance programs (EAP).
Financial well-being resources and a 401(K).
Financial protection benefits such as short- and long-term disability, life insurance, supplemental health insurance, business travel protection and survivor support.
Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility.
Parental, caregiver, bereavement, and military leave.
Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources.
Other perks like tuition reimbursement and a recognition program.

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