Hybrid Manager, Analytical Engineer

at Bristol Myers Squibb

• Job title: Manager, Analytical Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $126,040 - $152,728 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Airflow, Amazon Redshift, Oracle, Postgres, Python, ServiceNow, SQL, Subversion, Tableau
• Location requirements: Hybrid, New Brunswick, United States

About the role

• Manager of Analytics Engineering providing technical expertise to develop and maintain data models. Working at Bristol Myers Squibb to enable data-informed decision-making across the organization.

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.

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.
• 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).

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.