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  Senior Data Quality Analyst_AVP-I  

  Ujjivan Small Finance Bank

  Permanent - Bangalore

  Posted: 11/02/2026

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  JOB DESCRIPTIONThe Senior Data Quality Analyst will be responsible for... Read More

  JOB DESCRIPTION

  
  

  The Senior Data Quality Analyst will be responsible for defining, implementing, and monitoring enterprise data quality controls to ensure accuracy, completeness, consistency, and timeliness of data across the bank. The role plays a critical part in enabling trusted analytics, regulatory reporting, and AI/ML initiatives.

  This role acts as a bridge between business data owners, data engineering teams, and governance functions, ensuring data quality issues are proactively identified, resolved, and prevented.

  
  

  KEY RESPONSIBILITIES OF THE ROLE

  
  

  Define and implement data quality rules, thresholds, and validation checks for Critical Data Elements (CDEs).Track repeat data quality issues and recommend process or system improvements to prevent recurrence.Contribute to enterprise data quality standards, policies, and SOPs.Develop and maintain data quality scorecards, dashboards, and management reports.Work with business data owners and data stewards to ensure clear ownership and accountability.Partner with Data Engineering teams to embed automated data quality checks in pipelines.Support regulatory reporting, audits, and internal reviews by providing evidence of data controls.Monitor data quality across source systems, data warehouse, and downstream analytics layers.Perform data profiling, anomaly detection, and trend analysis to identify quality issues.Manage end-to-end data quality issue lifecycle: logging, prioritization, root cause analysis, and closure.Ensure compliance with defined data quality SLAs, policies, and governance processes.Introduce automation and advanced techniques (e.g., anomaly detection) to improve data quality monitoring.Drive continuous improvement in data quality practices and operating models.Enable knowledge sharing and capability building across teams on data quality best practices.

  
  

  
  

  MINIMUM REQUIREMENTS OF KNOWLEDGE & SKILLS

  Educational

  Qualifications

  Bachelor's degree in Engineering, Statistics, Mathematics, Computer Science, or related field.

  Experience Range (Years and Core Experience Type)

  5-7 years of experience in data quality, data analysis, or data governance roles.Experience working with large-scale enterprise datasets.Exposure to banking or financial services data is preferred.

  Certifications

  NA/ Good to have

  Functional Skills

  Strong SQL and Python skills for data analysis, validation, and reconciliation.Experience with data profiling and data quality assessment techniques.Understanding of data warehousing, ETL/ELT pipelines, and layered data architectures.Experience implementing data quality dimensions such as accuracy, completeness, consistency, timeliness, and validity.Familiarity with Critical Data Elements (CDEs), data governance, and lineage concepts.Ability to work with data engineering teams on automated quality checks and controls.Proficiency in creating data quality dashboards and reports.Understanding of data security, access control, and regulatory requirements.Exposure to analytics, ML, or AI data requirements is an advantage.

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