FBA, Data Lakehouse (Banking, 1-year renewable contract)

Evolution Recruitment Solutions Pte Ltd; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

Evolution Recruitment Solutions Pte Ltd is seeking a seasoned Business Analyst to drive data lakehouse initiatives. You will translate business needs into functional data specifications, collaborate with data engineers and analytics teams, and ensure governance and data quality across the platform.

You will gather requirements, document BRDs and user stories, and support SIT/UAT, data migration, and production deployment in a fast-paced banking/financial services environment.

Qualifications

• Bachelor's degree in a related discipline is required.
• 5+ years as a Business Analyst / Functional BA, preferably in banking or financial services.
• Proven experience with Data Lake/Data Warehouse/Data Lakehouse or enterprise data platforms.
• Strong understanding of data architecture, data flows, integration and lifecycle management.
• Hands-on SQL skills for data analysis, validation and reconciliation.
• Experience with source-to-target mapping, data lineage, modelling and data quality concepts.
• Knowledge of ETL/ELT, APIs, batch processing and real-time data integration.

Responsibilities

• Act as the liaison between business stakeholders, data teams and tech teams to deliver data lakehouse initiatives.
• Gather, elicit and analyse business requirements for enterprise data, reporting, analytics and data platforms.
• Translate requirements into functional specs, data requirements, mappings and business rules.
• Define ingestion, transformation, storage and consumption requirements with engineering teams.
• Analyse as-is and to-be data flows, sources, mappings and downstream usage.
• Support data migration, integration and reconciliation activities.
• Coordinate across stakeholders to resolve data issues and ensure timely delivery.
• Support SIT/UAT, validation, defect management and business sign-off.
• Ensure data solutions comply with governance, security, privacy and regulatory requirements.

Skills

SQL

Stakeholder management

Requirement gathering

BRD writing

Data analysis

Analytical thinking

Communication skills

Agile / Scrum

Data governance

Data quality

Education

Bachelor's degree in Computer Science / IT / Engineering / Business or related

Tools

Databricks

Snowflake

Cloudera

Hadoop

Power BI/Tableau

Job description

Please note that visa sponsorship is not available at this time.

Key Responsibilities

• Act as the key liaison between business stakeholders, data teams and technology teams to deliver data lakehouse initiatives.
• Gather, elicit and analyse business requirements for enterprise data, reporting, analytics and data platform initiatives.
• Translate business requirements into detailed functional requirements, data requirements, data flows and business rules.
• Work with data engineers, solution architects and technical teams to define data ingestion, transformation, storage and consumption requirements.
• Analyse and document as-is and to-be data flows, including data sources, mappings, transformations, business logic and downstream consumption.
• Define data requirements for structured and unstructured data across multiple business functions and source systems.
• Support the design and implementation of Data Lakehouse architecture and data products, ensuring solutions meet business and operational requirements.
• Work with stakeholders to define data quality, reconciliation, validation and governance rules.
• Perform data analysis and profiling using SQL to validate requirements, investigate data issues and identify gaps or inconsistencies.
• Develop and maintain Business Requirement Documents (BRD), Functional Specifications, data mapping documents, user stories and acceptance criteria.
• Work closely with data engineering teams throughout development, SIT, UAT and production implementation.
• Review technical solutions and data models to ensure alignment with business requirements and expected outcomes.
• Support data migration, integration and transformation activities, including source-to-target mapping and reconciliation.
• Identify and manage requirements-related risks, issues, dependencies and scope changes.
• Coordinate with multiple business and technology stakeholders to resolve data issues and ensure timely delivery.
• Support UAT planning, test case review, defect management and business sign-off.
• Ensure data solutions comply with relevant data governance, security, privacy, regulatory and banking requirements.

Key Requirements

• Bachelor's degree in Computer Science, Information Technology, Engineering, Business or a related discipline.
• 5+ years of experience as a Business Analyst / Functional Business Analyst, preferably within banking or financial services.
• Proven experience working on Data Lake, Data Warehouse, Data Lakehouse or enterprise data platform initiatives.
• Strong understanding of data architecture, data flows, data integration, data transformation and data lifecycle management.
• Experience translating complex business requirements into functional requirements and data specifications.
• Strong hands-on SQL skills with the ability to perform data analysis, validation, reconciliation and troubleshooting.
• Experience with source-to-target mapping, data lineage, data modelling and data quality concepts.
• Good understanding of data ingestion and integration patterns, including ETL/ELT, APIs, batch processing and real-time data integration.
• Experience working with data platforms such as Databricks, Snowflake, Cloudera, Hadoop or similar technologies.
• Experience working with Data Lakehouse architecture, including concepts such as data layers, medallion architecture and data products, is highly desirable.
• Strong experience producing BRD, functional specifications, user stories, data mapping and acceptance criteria.
• Experience supporting SIT/UAT, data migration, reconciliation and production implementation.
• Strong stakeholder management skills, with the ability to work across business, data engineering, architecture, technology and operations teams.
• Good understanding of data governance, data quality, data security and regulatory requirements within financial services.
• Strong analytical and problem-solving skills, with the ability to investigate complex data issues and translate findings into practical solutions.
• Excellent communication skills, with the ability to explain complex data and technical concepts to both business and technology stakeholders.
• Experience working in Agile / Scrum delivery environments is an advantage.
• Exposure to Python, Power BI/Tableau, cloud platforms or data visualisation tools is an advantage.