Background
As part of a key transformation initiative, the organization is modernizing its operational model and technology infrastructure to enable consistent performance across its global markets. Central to this effort is the redesign of core processes through innovative data management strategies, ensuring scalability and effective day-to-day operations.
Position Objectives
The Lead Business Analyst - Finance Data Analysis will be at the forefront of driving improvements in how finance-related data is managed, integrated, and delivered in the management information system. Collaborating with diverse teams across operations, FP&A, IT and other internal business functions, this role will involve mapping current processes, identifying inefficiencies, and implementing future-forward data management solutions.
Key Responsibilities
Requirements Gathering & Scoping: Collaborate with stakeholders to define project scope, gather business requirements, and establish KPIs for the data lake project.
Data Source Analysis: Investigate and document existing data sources, including their schemas, formats, and data flows from legacy systems.
Data Extraction & Mapping: Define extraction requirements, map legacy data fields to the data lake architecture, and ensure data integrity during migration.
Legacy System Assessment: Analyze legacy applications, identify dependencies on data sources, and plan for decommissioning or migration where applicable.
Solution Design & Documentation: Contribute to data lake architecture design and create clear documentation, including workflows, data models, and process diagrams.
Data Quality & Governance: Establish data quality rules, ensure compliance with governance standards, and address data accuracy or reliability issues.
Testing & Validation: Define test cases, validate data ingestion accuracy, and support user acceptance testing (UAT) to meet business requirements.
Stakeholder Collaboration & Reporting: Act as a liaison between business and technical teams, provide regular project updates, and deliver insights to support decision-making.
Candidate Profile
- 5+ years of experience in business analysis primarily within data transformation projects/data analysis
- Experience will be given to Big 4 consultant who is currently in Senior Consultant II/III / Manager I grade and is looking to move into an in-house role
- Experience preparing BRDs end-to-end both in Agile and Waterfall environments
- A strong understanding of Insurance operations and the finance domain would be a huge advantage
- Proven track record in redesigning and optimizing data processes for scalability and governance.
- Experience collaborating with external providers and internal stakeholders, making sure the scoping is made properly
- Strong analytical and communication skills with the ability to document and present complex processes clearly.
- Familiarity with data governance principles, control frameworks, and ownership models.
- Experience working within global or multinational organizations is preferred.
