Manufacturing Data Analytics Engineer - Automation & MES

Bristol Myers Squibb

Harvard (MA)

On-site

USD 89,000 - 108,000

Full time

2 days ago
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Benefits offered by this job

Health coverage
Wellbeing programs
Financial protection
Flexible time off
11 paid holidays
Global Shutdown

Job summary

Bristol Myers Squibb in Devens, MA is seeking an Automation Data Analytics Engineer to act as SME in data analytics, collaborating with Manufacturing and Technical to develop dashboards and data science solutions. You will translate business needs into specifications and support MES data insights across the site.

This role requires hands-on SQL and Python, experience with Tableau/Power BI, and the ability to work across cross-functional teams to drive process improvements in a manufacturing

Qualifications

  • Hands-on experience with SQL and Python (or R).
  • Experience with data analytics and data science tools.
  • Knowledge of manufacturing data systems and BI tools.

Responsibilities

  • Act as subject matter expert in data analytics, working with Manufacturing and Technical.
  • Create dashboards and visualizations; conduct ad-hoc data analysis for decision-making.
  • Translate business requirements into functional specifications for data solutions.
  • Support MES data insights and site-level data initiatives.
  • Lead improvements across the manufacturing network with data-driven insights.

Skills

SQL
Python (or R)
Data analysis
Analytics

Education

Bachelor's degree in Engineering or related field

Tools

Tableau
Power BI
HP ALM
Electronic Document Management Systems

Job description

Bristol Myers Squibb in Devens, MA is seeking an Automation Data Analytics Engineer to act as SME in data analytics, collaborating with Manufacturing and Technical to develop dashboards and data science solutions. You will translate business needs into specifications and support MES data insights across the site.

This role requires hands-on SQL and Python, experience with Tableau/Power BI, and the ability to work across cross-functional teams to drive process improvements in a manufacturing

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