全职 Technical Data Analyst (Banking Industry) – replacement 工作, 薪水 up to SGD 9,000, CLPS 公司招聘中 - Ricebowl

Technical Data Analyst (Banking Industry) – replacement

Location : Singapore

Data Analysis & Data Profiling

· Perform detailed analysis and profiling of source and target system data to assess data quality, identify inconsistencies, and mitigate migration risks.

· Analyze customer, KYC, onboarding, and reference data to identify data quality issues, anomalies, and business impacts.

· Conduct data discovery and assessment exercises to understand data structures, relationships, and dependencies.

· Define and monitor data quality metrics, baseline assessments, and governance controls throughout the migration lifecycle.

Data Mapping & Migration Design

· Develop comprehensive source-to-target data mapping specifications.

· Translate business requirements into detailed functional and technical specifications.

· Define migration rules, transformation logic, enrichment requirements, validation criteria, and reconciliation processes.

· Collaborate with business stakeholders to resolve data ambiguities, mapping gaps, and data-related issues.

Technical & Functional Documentation

· Create and maintain Functional Specifications, Technical Documents, Data Mapping Documents, Validation & Reconciliation Reports, Test Plans, and Test Cases.

· Ensure all documentation complies with project governance, regulatory, and audit requirements.

· Maintain accurate and up-to-date project artifacts to support migration execution and knowledge transfer.

Data Quality & Anomaly Detection

· Analyze data to identify anomalies, duplicates, missing records, and data inconsistencies.

· Investigate root causes of data quality issues and recommend remediation strategies.

· Define and execute data quality controls to ensure data integrity throughout the migration lifecycle.

· Support data cleansing, enrichment, and remediation initiatives.

ETL & Migration Pipeline Validation

· Partner with ETL developers and technical teams to validate migration pipelines and data transformation processes.

· Review ETL designs, transformation logic, and data processing workflows to ensure alignment with business rules.

· Troubleshoot migration failures, exceptions, reconciliation discrepancies, and performance issues.

· Validate data transformations and migration outcomes against agreed business requirements.

Testing & Reconciliation

· Design and execute migration testing activities, including User Acceptance Testing (UAT), mock migrations, dry runs, and production validation.

· Perform detailed source-to-target reconciliation to ensure data completeness, accuracy, and consistency.

· Validate record counts, data integrity, transformation results, and migration success criteria.

· Support defect tracking, issue resolution, and test result reporting.

Stakeholder Management

· Collaborate with Business Users, Compliance, Operations, Data Governance, and Technology teams to gather requirements and address data challenges.

· Facilitate workshops and stakeholder discussions to clarify requirements, resolve issues, and drive decision-making.

· Communicate analysis findings, project risks, recommendations, and status updates to project stakeholders.

· Support project governance activities, status reporting, and issue management to ensure successful project delivery.

Requirements:

· Bachelor's Degree in Computer Science, Information Technology, Data Analytics, Engineering, or a related discipline.

· Minimum 10 years of experience in Data Analysis, Data Migration, Data Management, or related disciplines.

· Proven experience working within Banking or Financial Services environments.

· Strong understanding of KYC/eKYC processes, customer onboarding, Customer Due Diligence (CDD), and regulatory compliance data requirements.

· Experience delivering large-scale data migration, transformation, or modernization programs.

· Strong hands-on experience with Microsoft SQL Server.

· Advanced SQL development and querying skills, including complex joins, stored procedures, functions, views, Common Table Expressions (CTEs), performance optimization, and data validation queries.

· Strong understanding of relational databases, data modelling, data warehousing concepts, and data migration methodologies.

· Experience working with ETL pipelines, data integration processes, and data transformation workflows.

· Demonstrated expertise in data profiling, data mapping, data reconciliation, data quality assessment, and root cause analysis.

· Ability to analyze, interpret, and validate large and complex datasets.

· Experience with source-to-target mapping, migration rule definition, and data validation activities.

· Strong analytical, troubleshooting, and problem-solving skills with the ability to identify data anomalies and drive resolution.

· Excellent communication and stakeholder management skills, with the ability to collaborate effectively across business and technology teams.

· Strong attention to detail and commitment to maintaining high data quality standards.

· Ability to work independently and manage multiple priorities in a fast-paced project environment.

· Experience in banking data transformation, migration, or regulatory data programs is highly preferred.

· Knowledge of data governance principles and data quality frameworks is advantageous.

· Experience with data migration tools, frameworks, and automation solutions is preferred.

· Knowledge of Power BI or other reporting and analytics platforms is an added advantage.

Experience working in multinational or regional banking environments is preferred.

Pay: From $9,000.00 per month

Work Location: In person