Data Quality Analyst
Citigroup
- Location
- Pune Maharashtra India
- Work model
- On-Site
- Level
- Mid
- Posted
- Aug 24, 2026
Skills
About this role
Citi is looking for a Data Quality Analyst to join its Wealth Data Quality team and play a key role in ensuring the integrity and accuracy of client financial data across the enterprise. In this role, you will identify and resolve data quality issues, deliver metrics-driven reporting, and help establish the standards that keep Citi's data reliable, compliant, and fit for purpose. This is an opportunity to bring analytical rigour to work that directly supports sound business decisions at one of the world's leading global financial institutions.
Responsibilities
Analyse client financial data to identify quality issues, inconsistencies, and discrepancies, and deliver clear metrics reporting to support resolution and oversight. Monitor and evaluate data and operational processes on an ongoing basis to surface quality risks before they escalate into broader issues. Contribute to defining and embedding data quality standards across the team, ensuring processes and data consistently meet established benchmarks. Oversee the day-to-day maintenance of customer accounts, security, and pricing data across multiple systems and teams. Report data quality concerns through the formal remediation management process, ensuring issues are tracked, documented, and resolved in a timely manner. Investigate data findings, interpret results, and formulate practical options for resolving data quality problems with a clear focus on accuracy and business impact. Identify opportunities to improve data quality and client service levels, applying sound judgement to uphold compliance with applicable policies and regulations. Share knowledge of data quality methods and analytical approaches with newer team members to strengthen overall team capability. Required Qualifications & Skills 3-6 years of experience in client, counterparty, or account data management within a global financial services organisation, with a demonstrated ability to deliver data quality outcomes. Proficiency in advanced Excel and SQL, with the ability to apply these tools to reconcile and validate complex client financial data. Strong analytical skills and attention to detail, with a demonstrable ability to interpret data, identify patterns, and draw accurate conclusions. Clear and effective communicator, able to present findings and exchange information concisely across different audiences and levels of seniority. Good awareness of client needs and expectations within a financial services context. Bachelor's degree or equivalent professional experience in a relevant field. Beneficial Skills & Qualifications Proficiency in PowerPoint, with experience producing structured analytical outputs and presenting insights to stakeholders. Familiarity with data concern or issue remediation frameworks within a regulated financial environment. Experience working across cross-functional teams or contributing to enterprise-wide data governance initiatives. Knowledge of Wealth business and products, with an understanding of how this context shapes client data requirements and quality standards.
What We Offer
Joining Citi's Data Quality team means contributing to work that matters at a global scale. You will collaborate with colleagues across functions and geographies, with access to the tools, support, and environment needed to grow your expertise and make a tangible impact on the quality of financial data that underpins critical business decisions. A hybrid working model giving you 3 days in the office and 2 days working remotely, supporting a sustainable and effective work-life balance. Exposure to enterprise-wide data quality programmes across a global financial institution, broadening your professional experience and market knowledge. Clear opportunities for career development, with access to learning resources, on-the-job growth, and progression within Citi's data and operations functions. A collaborative team environment where your analytical contributions are visible and directly inform