Top Data & Analytics Jobs

This role involves providing business analysis for Global Banking Operations, managing requirements development for transformation projects, writing EPICs and User Stories, supporting product owners, and ensuring defect-free requirements.

The Business Analyst will support the deployment of initiatives, assess the impact of changes on operating models, and develop AI-driven use cases to enhance business processes. Responsibilities include collaborating with teams to translate requirements, analyzing processes for improvement, and creating documentation for change impacts and operating model adjustments.

The Data Governance Senior Analyst will work within the Data & Architecture Office (DAO) to assess, support implementation, and monitor the data governance aspects of Data Management policy. Responsibilities include extending and maintaining the Business Information Model, defining data within client systems, supporting business process owners, managing data governance analysts, and providing data governance training and advice.

As the SEA Data Lead, you will oversee go-to-market data activities in Southeast Asia, collaborating with global teams. Your role includes building a capable team, managing proposals, ensuring quality on engagements, and maintaining relationships with senior stakeholders.

The Senior Business Analyst - Data will lead projects focusing on data analysis and business requirements, utilizing strong analytical skills and agile methodologies. Responsibilities include requirement management, problem-solving, and working with clients in financial services. Knowledge of SQL, ETL processes, and data technologies are essential, with opportunities for impactful career growth within Capco.

The Senior Business Analyst role involves participating in consulting projects focused on Risk & Finance, including business analysis, gap analysis, regulatory requirements implementation, and project management. Responsibilities also include working with major banks, supporting project teams, and contributing to internal initiatives.

The Data Tester will utilize Python, Pandas, and Numpy to develop and design data-driven systems, focusing on querying with SQL and understanding data modeling and warehouse concepts. Responsibilities include ETL processes, version control using Git/Bitbucket, and participation in Agile development, alongside managing job schedulers and potentially working with high-performance databases and cloud platforms like AWS or Azure.