[Remote] Business Analyst – Automation, Analytics & AI

Note: The job is a remote job and is open to candidates in USA. Merck is a leading healthcare company focused on improving health and well-being. The Business Analyst – Automation, Analytics & AI supports automation, analytics, and AI solutions to enhance clinical trial operations, assisting with business case preparation, data analysis, and user support.

Responsibilities

• Assist in compiling business cases, gathering requirements, mapping processes, and documenting user stories and acceptance criteria
• Conduct data exploration and prepare baseline metrics to define problem statements and expected benefits
• Verify with relevant central repositories and teams if there are similar tools to avoid duplication; summarize reuse opportunities and recommendations for the Sr. BA – AA& AI and RAAI Lead
• Build and maintain country dashboards and basic automations under supervision using approved platforms
• Prepare test scripts, perform user acceptance testing (UAT) coordination, and document outcomes; support validation and release documentation
• Support configuration and minor enhancements; triage user feedback and escalating defects/issues as needed
• Produce routine operational reports and Key Performance Indicators (KPI) dashboards; maintain data definitions and refresh cadence
• Track solution performance metrics (e.g., adoption, data quality, cycle time) and prepare updates for stakeholders
• Ensure adherence to ICH GCP, Company policies, and local regulations in documentation and solution usage
• Support change management activities (training materials, user guides, quick reference content) and deliver end-user training sessions
• Collaborate with country, regional and headquarters teams, such as Sr. BA - AA & AI/ RAAI Lead, and Global Clinical Data Integration (GCDI) / Information Technology (IT) partners; share learnings and templates with peers

Skills

• Bachelor's degree in life science discipline, business analytics, computing science, engineering, or related field, with 2+ years of hands-on experience in data analysis, process improvement, or technology-enabled projects (including exposure to automation platforms, analytics tools, or AI frameworks), or
• An associate degree or equivalent post‑secondary qualification in a life science discipline, business analytics, computing science, engineering, or related field, combined with a minimum of 4 years of relevant hands-on experience in data analysis, process improvement, or technology-enabled projects (including exposure to automation platforms, analytics tools, or AI frameworks)
• Business analysis skills: Ability to gather and document requirements, translate business needs into data or solution specifications, and support testing and validation activities
• Data literacy: ability to analyze datasets, build reports, and visualize metrics; attention to data quality
• Technical aptitude: hands-on with Excel and at least one BI tool; foundational understanding of automation platforms and AI-assisted tools, with willingness to learn approved platforms
• Organization & communication: clear written/verbal English; structured documentation; effective collaboration in a matrixed setting
• Compliance awareness: basic understanding of operating in regulated environments and adherence to procedures
• Learning mindset: proactive, curious, and coachable; embracing feedback and continuous improvement
• Exposure to clinical research operations or adjacent functions
• Experience with Business Intelligence (BI) tools (e.g., Power BI/Tableau) and basic data wrangling (Excel/PowerQuery/DAX; introductory Structured Query Language (SQL))
• Familiarity with workflow documentation and testing/UAT practices
• Internships or project work in healthcare/life sciences/regulatory environments desirable

Benefits

• Medical
• Dental
• Vision healthcare
• Other insurance benefits (for employee and family)
• Retirement benefits, including 401(k)
• Paid holidays
• Vacation
• Compassionate and sick days

Company Overview