Manager, Analytical Engineer

Bristol Myers Squibb

Confirmed live today High trust

Closes in 6 days

Quick summary

Work type: On-site
Location: New Brunswick, NJ
Employment: Full-time
Posted: 49 days ago
Freshness: Confirmed live today
Closes: Nov 2, 2026 (soon)
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $200k

$151k $246k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $163,900–$236,437.

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 34 open roles on FindRole.

Listed pay typically runs $153,830–$186,404 across 26 roles with salary data.

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At a glance

TL;DR · Manager, Analytical Engineer

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The Manager, Analytical Engineer joins the team to provide hands-on technical expertise in developing, deploying, and maintaining core data models and infrastructure. This role bridges the gap between data engineering and analytics by designing dimensional data models, including star and snowflake schemas, fact and dimension tables, and slowly changing dimensions. You will build a centralized data layer, harmonize data across manufacturing sites and platforms, and define orchestration strategies within a governed metadata framework. Key responsibilities include delivering tested, DRY code using dbt and optimizing pipelines for enterprise-level consumption. Required skills include proficiency in SQL, scripting in Python or R, and experience with Git, SVN, and Agile development. You will use tools like Databricks and JIRA to solve complex data architecture and quality problems.

Skills

SQL Python R dbt Databricks Git SVN Agile Scrum Snowflake Schema JIRA Confluence ServiceNow

What you'll do

Develop, deploy, and maintain core data models and data layer infrastructure.
Design and maintain dimensional data models including star/snowflake schemas and slowly changing dimensions.
Build a centralized data layer to deliver data products at scale.
Harmonize data across manufacturing sites, software, and platforms for enterprise consumption.
Define orchestration strategies and architectural solutions across multiple data domains.
Write documented, tested, and DRY code using the Data Build Tool (dbt).
Gather business requirements to deliver data products that enable informed decision-making.
Maintain data quality and accuracy within a governed metadata framework.

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.
Experience 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.
Experience working in or alongside agile/scrum teams (preferred).
Hands-on experience with dbt (preferred).

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