Digital Program Specialist – Data Analytics
Financial and insurance activities
Our Client is a leading multilateral development bank dedicated to financing sustainable infrastructure and promoting economic development across Asia and beyond. The organization partners with governments, private sector institutions, and international stakeholders to deliver high-impact investments in sectors such as energy, transportation, digital infrastructure, water, and urban development. With a strong focus on innovation, sustainability, and operational excellence, Our Client is actively advancing its digital and data transformation agenda to enhance decision-making, governance, and long-term development outcomes.
Responsibilities
- 'Translate business requirements into clear data definitions, KPI frameworks, and technical specifications, ensuring alignment between business needs and data engineering implementation.
- Partner with business stakeholders and cross-functional teams to define, document, and govern data logic, KPI standards, reporting requirements, and data usage.
- Act as the key liaison between business and technical teams, resolving data inconsistencies and ensuring alignment across financial, risk, operational, and portfolio domains.
- Lead data validation, UAT, root cause analysis, and issue resolution to maintain data accuracy, quality, and consistency across systems and reporting outputs.
- Drive continuous improvement of data processes, governance, reporting, automation, and dashboard management to enhance scalability, efficiency, and decision-making support.
Requirement
- '5-8 years of experience in data analytics, business analysis, or related fields, with a bachelor's or master's degree in a relevant discipline.
- Strong expertise in data analysis, data modelling, data governance, and translating business requirements into data and technical solutions.
- Proficient in data and reporting tools such as SQL, Power BI, Python, or similar technologies.
- Proven experience collaborating across business and technology teams, supporting enterprise-wide data initiatives, system implementations, and reporting transformations.
Ref: JN-102026-212573