Digital Program Specialist - Data Analytics

The Digital Program Specialist – Data Analytics will bridge business functions and data engineering teams to enable consistent, reliable, and decision-ready data across the Bank. The role focuses on translating business requirements into data logic, aligning KPI definitions and reporting standards, and ensuring data consistency across systems and platforms to support enterprise data initiatives and management reporting.

Responsibilities

• Translate business requirements into data definitions, KPI logic, and technical specifications for implementation by data engineering teams.
• Work closely with business stakeholders to clarify data needs, interpret business processes, and ensure accurate representation in data models and systems.
• Define and document business data logic, ensuring traceability between business requirements, data transformations, and reporting outputs.
• Independently coordinate with core departments to align on KPI definitions, reporting logic, and data usage.
• Resolve cross-functional data inconsistencies and ensure alignment across financial, risk, operational, and portfolio domains.
• Act as a central coordination point for data-related topics across business and technical teams.
• Work closely with the data engineering and platform teams to support data model design, data pipelines, and system integration.
• Translate business logic into implementable data transformations, and validate outputs against business expectations.
• Lead and coordinate UAT activities, data validation, and issue resolution across system changes and releases.
• Support data transitions, and ensure continuity and consistency across system upgrades and enhancements.
• Ensure alignment of data definitions, KPI logic, and reporting standards across systems, dashboards, and departments.
• Support the implementation of data governance practices, including controlled logic changes, documentation, and traceability.
• Identify and address gaps in data definitions, data usage, and governance processes.
• Conduct root cause analysis on complex data issues across systems and reporting layers.
• Drive improvements in data processes, data flows, and reporting workflows to enhance consistency and efficiency.
• Identify opportunities to optimize data solutions, improve automation, and enhance scalability of data products.
• Support management and reporting, such as through managing executive-level dashboards, ensuring data accuracy and consistency.
• Provide insights and interpretation to support decision-making where required.
• Ensure that reporting outputs are aligned with underlying data logic, governance standards, and business definitions.

Requirements

• 5-8 years of experience in data analytics, business analysis, or related roles.
• Bachelor’s or master’s degree in data analysis, computer science, finance, or related fields.
• Relevant certifications in data, analytics, or technology domains are an advantage.
• Strong understanding of data analysis, data modelling, and data governance principles.
• Ability to translate business requirements into data logic and technical specifications.
• Familiarity with SQL, Power BI, Python, or similar tools.
• Understanding of financial, risk, or portfolio reporting is an advantage.
• Demonstrated experience working across business and technology teams in complex organizations.
• Experience supporting enterprise data initiatives, system implementations, or reporting transformations.
• Strong analytical and problem-solving capabilities.
• Ability to manage cross-functional coordination and work independently.
• Excellent stakeholder management and communication skills.
• Ability to effectively translate between business and technical perspectives.
• Commitment to continuous learning in data and digital capabilities.
• Strong written and verbal communications skills in English.

Skills

• Data Analytics
• Business Analysis
• Data Modelling
• Data Governance
• SQL
• Power BI
• Python
• Financial Reporting
• Risk Reporting
• Sector Reporting
• Enterprise Data Initiatives
• System Implementation
• Reporting Transformation
• Stakeholder Management
• Business Requirements Translation
• Technical Specifications
• Cross-Functional Coordination
• Data Engineering Collaboration

Languages

English