Manager, Analytical Engineer

Bristol Myers Squibb

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
New Brunswick, NJ
Salary
$116,450–$141,110 / yr
Posted
3 days ago
Freshness
Confirmed live 2 days ago
Closes
Nov 2, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $212k
This role $129k
$100k most similar roles pay here $271k

This role pays less than 92% of similar roles. Most pay $170,000–$254,456 — the shaded band above. At the midpoint, this role pays about $129k versus about $212k for comparable roles.

Based on 240 similar postings.

Employer

About Bristol Myers Squibb

Bristol Myers Squibb is a global biopharmaceutical company committed to discovering, developing and delivering innovative medicines to patients.

Bristol Myers Squibb currently has 33 open roles on FindRole.

Listed pay typically runs $125,480–$152,049 across 33 roles with salary data.

Most-posted roles

View all roles at Bristol Myers Squibb

At a glance

TL;DR · Manager, Analytical Engineer

Manager, Analytical Engineer The Manager, Analytical Engineer provides technical expertise to develop, deploy, and maintain core data models and infrastructure while bridging the gap between data engineering and analytics. This role focuses on building robust, scalable, and well-documented data models, including star and snowflake schemas, fact and dimension tables, and slowly changing dimensions. The individual will build a centralized data layer by harmonizing information across manufacturing sites, software, and platforms to enable enterprise-level consumption and self-service analytics. Key responsibilities include defining orchestration strategies, managing metadata frameworks, and delivering high-quality data products through dbt. Required skills include proficiency in SQL, scripting with Python or R, version control using Git or SVN, and experience with Agile methodologies. The role utilizes tools like Databricks and JIRA to solve complex problems regarding data architecture, quality, and governance for internal stakeholders.

What you'll do

  • Develop and maintain core data models and infrastructure to support scalable, self-service analytics.
  • Build and manage dimensional data models including star/snowflake schemas and slowly changing dimensions.
  • Create a centralized data layer by integrating domain-specific data marts into a foundational core.
  • Harmonize data across various manufacturing sites, software systems, and platforms for enterprise consumption.
  • Develop documented, tested, and DRY code using Data Build Tool (dbt).
  • Define orchestration strategies and manage metadata within a governed framework.
  • Translate business requirements into technical solutions to enable data-informed decision-making.
  • Communicate complex technical information and analytical outcomes to both technical and non-technical stakeholders.

What we're looking for

  • 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 and scripting in Python or R.
  • Working knowledge of DAG-based and asset-based pipeline design.
  • Experience with version control (e.g., Git, SVN) and Agile development.
  • Excellent communication skills to explain complex technical information to both technical and non-technical stakeholders.
  • Hands-on experience with dbt (preferred).
  • Familiarity with JIRA, Confluence, ServiceNow, Databricks, or MS suites (preferred).

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