Data Analyst

• Own and continuously improve the company's performance management framework.
• Lead company-wide OKR planning, tracking and quarterly review cycles.
• Design and implement scalable people processes that improve organizational effectiveness.
• Analyze people, performance and operational data to identify trends, measure outcomes and recommend improvements.
• Build dashboards and reports that provide meaningful insights into organizational performance.
• Define business requirements for HR systems, reporting tools and workflow automation.
• Partner with leaders across the company to improve team performance and execution.
• Develop frameworks for performance reviews, calibration, promotions and career development.
• Drive initiatives that strengthen accountability, ownership and a high-performance culture.
• Ensure company values are embedded throughout employee programs, performance evaluations and day-to-day operations.
• Continuously identify opportunities to simplify processes, eliminate inefficiencies and improve the employee experience.
• Support strategic people initiatives and organizational projects as the company grows.

People Analytics – Performance Manager

• Define and continuously evolve the APACMEA data, analytics, BI, and AI roadmap
• Lead the identification, evaluation, prototyping, scaling, and governance of AI/ML and GenAI use cases
• Advance reporting modernization, KPI standardization, self-service analytics, dashboard adoption, and insight generation
• Strengthen data architecture, master data management, data quality, and lifecycle management
• Supervise, coach, and develop team members
• Promote data literacy, AI literacy, adoption of modern analytics tools, and AI/data-driven culture

Associate Director, Data & Analytics Lead

• Contribute to the design of RWE studies, including protocol development, statistical analysis plans (SAPs), and other key study documents with moderate supervision.
• Apply working knowledge of real-world data sources (e.g., claims, EMR/EHR, registries, omics data, wearable data, PROs) to inform study design, feasibility assessments, and methodological decisions.
• Strong fluency in at least one of SAS or R is mandatory.
• Perform statistical analyses using SAS, R, Python, SQL, and other appropriate tools, ensuring data quality, reproducibility, traceability, and methodological rigor.
• Develop operational definitions, code lists, and analytical specifications aligned with study objectives and industry standards.
• Prepare high-quality tables, figures, and listings (TFLs) and contribute to study reports, manuscripts, and client deliverables with clear interpretation of findings and articulation of limitations.
• Support client-facing support, including presenting planning and project updates, explaining methodologies, addressing technical questions, and contributing to strategic discussions.
• Demonstrate a consulting-oriented approach by identifying risks, proposing solutions, and adapting to evolving client needs.
• Support management of assigned programming timelines and analytical workstreams across multiple concurrent projects; communicate progress, risks, and mitigation strategies effectively to internal and external stakeholders.
• Support proposal development, desk research, and exploratory analyses as needed.

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People Analytics – Performance Manager

Associate Director, Data & Analytics Lead

Data Analyst II, RWE