Responsibilities: • Work closely with Strategic Analytics, Data Science, and other stakeholders to support end-to-end analytics initiatives • Perform data extraction, transformation, exploratory data analysis (EDA), visualization on large and complex datasets • Develop dashboards, reporting solutions, and analytical outputs to support business decision-making and operational monitoring. • Translate analytical findings into clear, structured insights and actionable recommendations for business stakeholders. • Support problem solving discussions by investigating hypotheses, identifying patterns, and contributing analytical perspectives to business challenges. • Collaborate with Data Science team to prepare datasets, validate outputs and operationalize analytical solutions where required. • Support Strategic Analytics initiatives by translating business requirements into analytical components • Ensure data quality, consistency and reliability across analytics deliverables and reporting outputs. • Participate in enterprise initiatives, missions teams, and transformation efforts requiring cross-functional collaboration across various teams. • Contribute to the continuous improvement of analytics capabilities, reusable assets, and reporting standards within Enterprise Analytics. • Build strong working relationships with stakeholders across business and functional teams to support effective delivery and alignment. Requirements: Background • Bachelor’s Degree in Computer Science, Mathematics, Actuarial, Statistics, Operations Research, Engineering or related quantitative disciplines. Graduate degrees are an added advantage. • Approximately 5-10 years of working experience in any analytics related function like Data Science, AI, business intelligence, market research or insights analysis. • Experience working in the Banking, Insurance or Healthcare sectors highly desirable. Technical skills • Strong proficiency in SQL to manipulate data and draw insights from large data sets. • Experience with Tableau for dashboard design and insights delivery is highly desirable. • Exposure to statistical analysis, experimentation, or analytical problem-solving methodologies is advantageous. • Experience with Python, R, Databricks or cloud analytics platforms is a plus. Business and Communication • Strong analytical skills, deductive reasoning, problem solving and critical thinking skills. • Excellent relationship management, strong team building, and the ability to work across business units and functions to drive positive business outcomes. • Passionate about working with numbers. Personal Attributes • Curious, proactive, willing to learn new business domains and analytical approaches. Able to work in ambiguous and fast-moving environments • Strong sense of accountability and ownership in delivering outcomes