Strategic KPI Development: Collaborated with stakeholders to define 10+ KPIs, forming the foundation for data-driven growth strategies.Project Leadership: Independently managed 7 critical projects, ensuring success by effectively communicating with stakeholders.Diverse Domain Expertise: Delivered CRM, software, and analytics solutions across 4+ domains, including securities, insurance, lending, and deposits.Tech Flexibility: Demonstrated adaptability in technology and methodology, contributing to a 20% efficiency boost in decision-making processes.Data-Driven Insights: Led data gathering, assessment, and strategy formulation, resulting in a 25% increase in meaningful insights.Continuous Learning: Actively embraced evolving technology and methodologies, achieving a 15% improvement in adapting to new tech.BI Proficiency: Efficiently utilised BI tools, realising a 65% enhancement in report and dashboard generation efficiency.Cross-Functional Collaboration: Worked with over 125 employees, implementing best practices and optimising data analysis processes.Advanced Data Analysis: Employed SQL and R to conduct in-depth analysis of extensive datasets (1.2 m+ clients).Stakeholder Communication: Presented complex data findings, facilitating informed decision-making.Process Optimisation: Streamlined data processes and workflows, resulting in a remarkable 20% efficiency improvement and 15% increased accuracy.Mentorship: Guided and mentored 5 junior analysts, fostering their professional growth and development in analytical techniques and best practices.

Proficiently executed SQL queries, processing over 10 TB of data for data extraction, transformation, and loading, resulting in a 30% reduction in processing time.Designed and deployed interactive dashboards using Power BI, presenting key metrics and trends that contributed to a 15% increase in data-driven decision-making.Applied advanced statistical analysis techniques, including regression models, clustering, and time series forecasting, which led to a 12% improvement in predictive accuracy.Enhanced data quality by implementing data cleansing techniques, resulting in a 20% reduction in data errors and inconsistencies.Delivered data analysis findings and recommendations to senior stakeholders, resulting in $2 million in cost savings and revenue optimisation.Automated data workflows using automation tools, achieving a 40% increase in data processing efficiency and a 95% accuracy rate.