Career Opportunities

Digital Program Analyst/Associate - Data Analysis

Responsibilities include but are not limited to

• Closely work with business stakeholders, understand business data process, gather and streamline data requirements and maintain relevant documentation.
• Perform data analysis, research and retain data knowledge from the business system, translate data requirements to technical specifications; collaborate with the project manager and implementation team to support the design and delivery of solutions that meet business requirements, including but not limited to data solutions, business intelligence solutions, self-service solutions, etc.
• Lead data solution testing and assist troubleshooting, guide users with new data products and services, and facilitate user training and focus group discussions.
• Perform root cause analysis on data quality issues and reporting processes to answer specific business questions in support of data solution operations.
• Locate and define new process improvement opportunities and proactively identify new opportunities and potential gaps for solution optimization.
• Support data culture awareness training and sharing.

Requirements

• More than four years as a data analyst and/or business analyst or relevant experience in business analysis, data analysis, financial analysis, statistics, and research methods
• Strong technical capability in MS SQL and familiar with BI and data visualization tools, like - PowerBI, Tableau, Python
• Working knowledge in lending products, investment products, portfolio management, and cooperative reporting is a plus.
• A team player with the ability to develop positive and collaborative relationships with business partners and effectively communicate with both business and technology data stakeholders.
• A self-motivated performer with the ability to deal with ambiguity, adaptive to evolving business models, and able to drive results and support business technical requirements. 
• Excellent written and verbal communication skills for various audiences at different levels across the organization. Demonstrated technical documentation skill is a must. Fluent in written and oral English.
• Master’s degree from a reputable university in a relevant field such as business analysis, data analysis, computer science, information management, financial engineering, or equivalent experience.
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (e.g., scikit-learn), experience in designing machine learning and AI applications to effectively optimize business processes and support better decision-making would be an advantage.
• Demonstrated experience in managing deliverables in agile environments would be an advantage.

AIIB is committed to diversity, transparency, and inclusion. We believe our strength comes from having a team with the right diverse skills, experiences, and abilities selected through a merit-based competitive process. We actively encourage applications from people from both within and outside AIIB members, regardless of nationality, religion, gender, race, disability, or sexual orientation.

Previous experience and qualifications will determine the grade and job title at which successful applicants will enter AIIB.

Join us and help create a prosperous and sustainable Asia while growing your career in a diverse and innovative environment.