Senior Digital Data & Process Analytics Lead

Merck; Upper Gwynedd Township (Montgomery County); On-site; USD 117,000 - 184,000; Full time

Job summary

Merck in Rahway, USA seeks a Senior Specialist in Digital Process & Data Analysis to drive data-driven decisions and digital tool adoption. You will gather requirements, implement reporting solutions, and build training to improve data literacy and engagement across the organization.

Responsibilities include defining data dictionaries, SOPs, and change logs; collaborating with stakeholders; and ensuring compliant, valuable analytics using BI platforms and NLP-based insights.

Qualifications

• Experience in Agile Methodology, Clinical Operations, Dashboard Development, Data Analysis, and SDLC.
• Strong knowledge of GCP and data governance practices.
• Proficiency in Microsoft Excel and data wrangling techniques.
• Advanced degrees and/or extensive years in relevant field per posting.

Responsibilities

• Lead requirements gathering, design, and testing of reporting solutions.
• Analyze trends, test hypotheses, and translate business questions to data deliverables.
• Develop training and communications to improve data literacy and tool adoption.
• Document data flows, dictionaries, and SOPs for consistency.
• Engage stakeholders to translate needs into technical deliverables.

Skills

Agile Methodology

Backend Development

Clinical Operations

Dashboard Development

Data Analysis

GCP

Microsoft Excel

SDLC

Quality Management

Data Visualization

Education

Non-Degree 8+ yrs

Associates in CS/Stats/Pharmacy/Healthcare

Bachelor’s in CS/Stats/Pharmacy/Healthcare

Advanced Degree in CS/Stats/Pharmacy

Tools

Qlik Sense

Power BI

ThoughtSpot

Tableau

Job description

Merck in Rahway, USA seeks a Senior Specialist in Digital Process & Data Analysis to drive data-driven decisions and digital tool adoption. You will gather requirements, implement reporting solutions, and build training to improve data literacy and engagement across the organization.

Responsibilities include defining data dictionaries, SOPs, and change logs; collaborating with stakeholders; and ensuring compliant, valuable analytics using BI platforms and NLP-based insights.