Analytics Engineering Manager - Data Modeling & Pipelines

Bristol Myers Squibb EU Policy

New Brunswick (NJ)

On-site

USD 116,000 - 141,000

Full time

2 days ago
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Job summary

Bristol Myers Squibb seeks a Manager of Analytics Engineering to build robust data models and pipelines, enabling self-service analytics across the organization. The role bridges data engineering and analytics, focusing on data architecture, quality, and governance, with strong stakeholder communication requirements.

The candidate will design star/snowflake schemas, SCDs, and conformed dimensions, delivering scalable solutions and documented, tested code within a governed framework.

Qualifications

  • BA/BS or higher in a relevant field.
  • 4-6 years of relevant work experience.
  • Proficiency with SQL.
  • Experience scripting in Python or R.
  • Knowledge of DAG-based and asset-based pipelines.
  • Version control experience (Git, SVN) and Agile development.
  • Analytical and problem-solving abilities.
  • Experience in agile/scrum environments preferred.
  • Ability to gather requirements and translate to technical solutions.
  • Excellent communication and presentation skills; able to explain analyses to varied audiences.
  • Hands-on dbt experience a plus.
  • Familiarity with Jira, Confluence, ServiceNow, MS Office; data tools like Databricks.

Responsibilities

  • Collaborate with business to gather requirements and deliver data products.
  • Develop a centralized data layer to deliver scalable data products.
  • Incorporate domain data marts into a centralized core.
  • Harmonize data across sites, software, and platforms for enterprise use.
  • Design scalable architectural solutions to drive efficiency.
  • Define orchestration strategies across multiple data domains.
  • Work within a governed metadata framework with documentation mandated.
  • Work with dbt to deliver documented, tested, DRY code.
  • Follow analytics lifecycle and quality frameworks for timely delivery.
  • Pursue innovative solutions to speed up delivery and decision-making.

Skills

SQL
Python/R
Data modeling
Agile
Requirements gathering
Communication
Presentation
Problem solving
Documentation

Education

BA/BS or higher in Computer Science, Physics, Math, Data Science, Pharmaceutical Science, or Engineering

Tools

dbt
Git
SVN
JIRA
Confluence
ServiceNow
MS Suites
Databricks
DBT

Job description

Bristol Myers Squibb seeks a Manager of Analytics Engineering to build robust data models and pipelines, enabling self-service analytics across the organization. The role bridges data engineering and analytics, focusing on data architecture, quality, and governance, with strong stakeholder communication requirements.

The candidate will design star/snowflake schemas, SCDs, and conformed dimensions, delivering scalable solutions and documented, tested code within a governed framework.

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