Design, build, and maintain interactive power bi dashboards
GSK is seeking a Data Analytics Lead to enhance compliance and efficiency in R&D operations through data-driven insights and analytics frameworks. The ideal candidate will have extensive experience in data analytics, business intelligence, and collaboration across global teams to define metrics and KPIs
Job Summary
The Data Analytics Lead is a global role responsible for maintenance and creation of dashboards and tools, contributing to the overall efficiency and compliance of R&D operations.
This role will focus on the development, analysis, and reporting of data-driven insights to enhance decision-making, enable inspection readiness, and optimize learning management, procedural document management and processes related to written standards management.
GSK has bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade, uniting science, technology, and talent to get ahead of disease together.
Matching Summary
Match Score: 85
GSK is seeking a Data Analytics Lead to enhance compliance and efficiency in R&D operations through data-driven insights and analytics frameworks. The ideal candidate will have extensive experience in data analytics, business intelligence, and collaboration across global teams to define metrics and KPIs.
Skills & Requirements
Must-have
Develop and maintain data analytics frameworks
Create global reports, metrics, and KPIs
Design, build, and maintain interactive Power BI dashboards
Analyze data trends and provide actionable insights
Ensure data accuracy and integrity
Lead continuous improvement initiatives
Nice-to-have
Ambitious for patients
Accountable for impact
Committed to doing the right thing
Uniting science, technology, and talent
Focus on accelerating significant assets
Key Requirements
7+ years of experience in data analytics
3+ years of business partnering experience
Experience implementing compliance training dashboard
Proficiency in Power BI, Power Apps, Power Automate
Experience with Microsoft Azure, Azure SQL, Databricks