Top Quality Analyst Jobs in Bangalore

Lead QA activities for ETL and data analytics solutions: design and execute tests, validate ETL processes and databases, automate tests (preferably Python), track defects, report quality metrics, mentor junior QA, and participate in Agile/SAFe ceremonies to ensure data reliability and release readiness.

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.

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

Evaluate and remediate data quality across systems by profiling, matching, reconciling, and validating datasets. Document findings, remediation steps, and repeatable procedures. Partner with business and technical teams to define data rules, escalate systemic issues, and support quality metrics, scorecards, and exception reporting.

Assess and document data quality across Claims and Underwriting, implement and monitor data quality rules and KPIs, maintain lineage and catalog, conduct root-cause analyses, prepare dashboards and reports, and support rollout of enterprise data governance, stewardship, and training.

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.