The Data Quality Analyst, positioned within the Data Management Office, will play a pivotal role in ensuring the accuracy, completeness, and usability of data across the bank's systems. The role is instrumental in monitoring, analyzing, and improving data quality across critical domains by leveraging both business and technical skills . The analyst will collaborate with business users, data stewards, and technical teams to implement robust data quality frameworks and develop automated solutions that drive continuous improvement and data reliability.


 Key Responsibilities


Output
Data Quality Monitoring & Improvement
Profile and assess data across key systems (e.g., T24, CRM, SAP) to identify and highlight data quality issues.
Implement and track data quality rules, metrics, and dashboards.
Support root cause analysis and remediation of data defects.
Automation & Technical Delivery
Develop scripts and tools for data profiling, cleansing, and validation using Python, SQL and other relevant tools.
Collaborate with engineering teams to integrate data quality checks into ETL pipelines.
Business Process
Master Data Management
Design the processes and procedures for Master data management.
Develop and implement data lifecycle practices aimed at improving the capture, processing, and quality of master data.
Establish and maintain MDM metrics to track data quality improvements
Data Quality
Co-ordinate and manage Data Quality throughout the organization and create greater value from the organizations’ data.
Define the quality metrics for critical data domains and demonstrate improvements against these metrics.
Coordinate activities required to meet data quality standards.
Design and Implement the Enterprise Data Management Monitoring Quality control process.
Monitor and closely track the state of the quality of data enterprise-wide.
 Learning and growth
Work collaboratively with Data Custodians and Data Stewards to drive and implement Master Data (MD) and Data Quality (DQ) standards
Identity & Implement initiatives across the business to build Master Data & Data Quality management capability.
Support the establishment of a Data Management Centre of excellence
Pursue personal growth through training, certifications and conferences


 Ideal Job Specifications

 Academic:


Bachelor’s in computer science, Finance & Banking MIS, or Information Management, or other relevant course
Masters or diploma in data management/data science, will be an added advantage


Professional:


Hands on experience in Database Development and scripting, with expert level skills in writing SQL queries.
Hands on experience in developing ETL packages using Oracle DI, SQL Server Integration Services, SAP Data Services
Deep understanding of industry standard formats and protocols (XML/XPath/XQuery and JSON)
Excellent analytical, problem solving and reporting skills
A good knowledge of the information requirements and standard reporting within Financial Services industry


Desired work experience:


Minimum 5 years' experience in data management within a large, digitized organization designing, implementing and managing mission critical systems, with at least 3 of those years within Data Quality role with hands on technical experience.