Top Quality Analyst Jobs in Bangalore

Drive data governance and quality initiatives across the firm by executing end-to-end data testing, defining testing metrics, implementing governance standards, partnering with divisional stakeholders, producing analytics to support remediation, and communicating progress to senior leaders.

Drive firmwide data governance and data quality programs: implement policies, lead end-to-end data testing, build metrics and reporting, enable remediation through analytics, and align global stakeholders to improve data accuracy and controls.

Lead data governance and quality workstreams for transitioning clients: define data structures, gather and document data requirements, perform data quality assessments, standardize attributes to JLL mappings, document standards and business processes, and communicate findings and status to transition leadership and clients.

Define and maintain HR data quality standards, business rules, and controls for assigned domains. Implement validation checks, measure CQI/DQI, investigate root causes, partner with HR Data Stewards and Operations to drive systemic fixes, support system and process changes (e.g., Workday releases), analyze trends, and communicate insights to stakeholders while improving tooling and automation.

The IDMC Data Quality Senior Analyst leads the design, implementation, and operation of data quality solutions within Informatica Cloud, collaborating with teams to ensure effective data quality rules and integration while managing operations and stakeholder relationships.

Drive firmwide data quality and governance initiatives: execute end-to-end data testing, define metrics and reporting, analyze data, create reference materials, and partner with stakeholders to prioritize and remediate data quality issues across divisions.

The role involves managing data quality, conducting checks, acquiring financial data, collaborating with teams, and implementing process improvements.

The Analyst, Quality Assurance will perform quality reviews on US mortgage processes, analyze data, and recommend improvements while collaborating with management.

Drive firmwide data governance and data quality initiatives: execute end-to-end data testing, build metrics and analytics, partner with stakeholders, document testing, and scale testing via AI and automation.