Business Analyst – Automation, Analytics & AI

Merck Merck · Pharma · New South Wales, Australia

The Business Analyst - Automation, Analytics & AI will help drive smarter, faster and more innovative ways of working across clinical trial operations. Working with the Clinical Research Director, AA & AI Lead and Senior Business Analysts, you will help turn ideas into practical solutions through business cases, data insights, dashboards, workflow documentation, testing, training and user support.

What you'd actually do

  1. Assist with business cases, requirements gathering, process mapping, user stories and acceptance criteria
  2. Conduct data exploration and prepare baseline metrics to define problems and expected benefits
  3. Check for existing tools to avoid duplication and summarise reuse opportunities and recommendations
  4. Build and maintain country dashboards and simple automations under supervision using approved platforms
  5. Prepare test scripts, coordinate user acceptance testing (UAT), document outcomes and support validation/release artefacts

Skills

Required

  • Business analysis: gather and document requirements, translate needs into specifications, support testing and validation
  • Data literacy: analyse datasets, build reports and visualise metrics with attention to data quality
  • Technical aptitude: proficient in Excel and at least one BI tool; foundational knowledge of automation and AI tools and eagerness to learn approved platforms
  • Communication and organisation: clear written and verbal English, structured documentation and effective collaboration in a matrixed environment
  • Compliance awareness: experience or understanding of working in regulated environments
  • Learning mindset: proactive, curious and coachable
  • Adaptability
  • Automated Test Scripts
  • Automation
  • Business Case Development
  • Change Management
  • Clinical IT
  • Clinical Research
  • Clinical Site Management
  • Clinical Site Monitoring
  • Clinical Study Management
  • Clinical Trial Compliance
  • Clinical Trials
  • Clinical Trials Logistics
  • Data Analysis
  • Document Management
  • Drug Development Research
  • Good Clinical Data Management Practice (GCDMP)
  • Interpersonal Relationships
  • New Technology Integration
  • Operational Acceptance Testing (OAT)
  • Project Management
  • Regulatory Compliance
  • Regulatory Training
  • Test Scripts

Nice to have

  • Exposure to clinical research operations or adjacent functions
  • Experience with BI tools (Power BI/Tableau) and basic data wrangling (Excel/Power Query/DAX; introductory SQL)
  • Familiarity with workflow documentation and UAT practices
  • Internships or projects in healthcare, life sciences or regulatory environments

What the JD emphasized

  • exposure to automation, analytics or AI
  • foundational knowledge of automation and AI tools