Ad-hoc Financial Support: Assist management with ad-hoc financial analysis, audits, and administrative projects to ensure smooth department operations.
What You'll Do:Requirements & Qualifications A. Educational Qualification & Experience Education: Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics or a related quantitative discipline. Experience: 3–5 years of hands-on experience in data science, advanced analytics, model validation, fraud/risk analytics or programme analytics. B. Technical & Professional Competencies
What You'll Do: Analyze business requirements and translate them into actionable insights Manage and maintain datasets to ensure accuracy and integrity Develop reports, dashboards, and visualizations for management Collaborate with stakeholders across departments to support data needs Identify opportunities for process improvement using data analytics Ensure compliance with data governance policies
What You'll Do:️ Architect, develop, and deploy robust web applications Collaborate with designers and product managers on user-centric solutions Write clean, scalable code for both frontend and backend️ Optimize performance and ensure security best practices Integrate APIs and third-party services️ Troubleshoot issues and implement fixes efficiently Mentor junior engineers and contribute to team growth
What You'll Do: Design, build, and maintain robust data pipelines️ Collaborate with cross-functional teams to integrate data sources Optimize database performance and ensure data integrity Implement ETL processes for efficient data flow Ensure security and compliance of all managed datasets Support analytics and BI teams with reliable data solutions