Business Analyst – Automation, Analytics & AI

Job Description

The Business Analyst supports the identification delivery and sustainment of country-level automation analytics and AI solutions that enhance clinical trial operations. Working under the guidance of the Clinical Research Director (CRD) and in close collaboration with the AA & AI Lead and senior Business Analysts the role assists with business case preparation data analysis dashboard/report building workflow documentation solution testing training and user support. The BA AA & AI helps ensure solutions are compliant adopted and continuously improved and may be involved in supporting alignment and scalability for regional and global solutions. As needed the BA AA & AI may also support initiatives driven by Regional Operations teams such as Global Site Agreements (GSA) Global Trial Optimization (GTO) Global Sites Budgets and Payments (GSBP) and Essential Document Management (EDM).

Key Responsibilities:

Intake & analysis support

o Assist in compiling business cases gathering requirements mapping processes and documenting user stories and acceptance criteria.

o Conduct data exploration and prepare baseline metrics to define problem statements and expected benefits.

o 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 AA & AI Lead.

Solution build & testing

o Build and maintain country dashboards and basic automations under supervision using approved platforms.

o Prepare test scripts perform user acceptance testing (UAT) coordination and document outcomes; support validation and release documentation.

o Support configuration and minor enhancements; triage user feedback and escalate defects/issues as needed.

Reporting & metrics

o Produce routine operational reports and Key Performance Indicators (KPI) dashboards; maintain data definitions and refresh cadence.

o Track solution performance metrics (e.g. adoption data quality cycle time) and prepare updates for stakeholders.

Compliance & change support

o Ensure adherence to ICH GCP Company policies and local regulations in documentation and solution usage.

o Support change management activities (training materials user guides quick reference content) and deliver end-user training sessions.

Collaboration

o Collaborate with country regional and headquarters teams such as Sr BA AA & AI Lead and Global Clinical Data Integration (GCDI)/Information Technology (IT) partners; share learnings and templates with peers.

Location

Country-based (office or home-based per local policy)

Extent of Travel

Up to 5-10% of working time

Qualifications Skills & Experience

Required Education and Experience:

• Bachelors degree in a 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 postsecondary 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)

Preferred Experience:

• 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.

Required Knowledge Skills and Abilities:

• 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; embraces feedback and continuous improvement.

Required Skills:

Preferred Skills:

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