Senior Data Engineer & Analytics Specialist

MSD; Rahway (NJ); On-site; USD 117,000 - 184,000; Full time

Job summary

Merck & Co., Inc. in Rahway, NJ is seeking a Senior Specialist, Data Engineering and Analytics to deliver high-quality data engineering, data preparation, and analytics solutions to SM S&T.

You will work with cross-functional teams to improve access to manufacturing data, support dashboards, and enable broader digital analytics capabilities across Digital Manufacturing and IT functions. The role requires strong technical foundation, independence, and collaboration across matrixed teams, with a

Qualifications

• Degree in Engineering, Pharmaceutical Sciences, Data Science, IT, CS or related field with five years of required experience (MS with 3).
• Experience in data engineering, analytics, or manufacturing systems
• Working knowledge of regulated environments in pharma/biotech

Responsibilities

• Execute data engineering and analytics deliverables in support of SM S&T priorities and business needs
• Build, maintain, and enhance data pipelines, data transformations, curated datasets, and analytical outputs
• Support delivery of dashboards, reporting, and analytical tools that improve visibility, monitoring, and decision support
• Investigate data issues and partner with relevant teams to improve data quality and usability
• Translate business questions into data requirements, logic, and outputs
• Support testing and deployment of analytics solutions based on user needs

Skills

Data engineering

Analytics

Data preparation

Dashboard development

SQL/ETL

Education

BSc/Master in Engineering, Data Science, IT or related

Tools

DataLynx

SEEQ

MPI

Job description

Merck & Co., Inc. in Rahway, NJ is seeking a Senior Specialist, Data Engineering and Analytics to deliver high-quality data engineering, data preparation, and analytics solutions to SM S&T.

You will work with cross-functional teams to improve access to manufacturing data, support dashboards, and enable broader digital analytics capabilities across Digital Manufacturing and IT functions. The role requires strong technical foundation, independence, and collaboration across matrixed teams, with a