• 5-8 years of experience in data analysis, system implementation support, testing support, or PMO/BA roles with strong data exposure (banking/financial services preferred).
• Experience supporting data migration, reconciliation, or test data activities is an advantage.
• Familiarity with core banking/deposits concepts (CASA/Time Deposit) is a plus.
• Experience with legacy-to-modern platform migrations (AS/400 to modern core banking, cloud-native or microservices architectures) is strongly preferred.
• Hands-on experience with TCS, Finacle, or Fiserv platforms (at least two required)
Knowledge Area • Data quality and validation concepts
• Working understanding of ETL concepts and migration lifecycle
• Understanding of banking data objects (customer/account, balances, product parameters, transaction history) and downstream impacts.
Skills
• Strong analytical skills; comfortable working with large datasets and spotting patterns/variances.
• Proficiency in SQL (preferred) and Excel; experience with data tools (e.g., Power BI) is a plus.
• Strong documentation discipline (logs, trackers, evidence packs) and attention to detail.
• Good communication skills to coordinate clarifications and follow-ups across IT, vendor, and business SMEs.
• Structured problem-solving and ability to summarize issues and impacts clearly.
RESPONSIBILITIES
• Maintain and update migration workplan trackers (mock run schedule, environment data refresh plan, reconciliation checkpoints, cutover readiness checklist).
• Support requirements-to-data traceability: maintain source-to-target mapping tracker, transformation rule clarifications, and sign-off status across stakeholders.
• Perform data validation activities using agreed control framework (record counts, control totals, sample-based checks, exception analysis) against vendor outputs.
• Support reconciliation preparation and review (balance reconciliations, account-level variances, GL/SL tie-outs where applicable); document findings and follow up with owners.
• Manage defect and exception logs for data migration (capture issues, categorize root cause themes, track to closure, support evidence collation).
• Coordinate data-related SIT/UAT readiness: confirm test data availability, refresh requests, masking requirements (if applicable), and resolve data blockers with vendor/IT teams.
• Prepare artifacts and evidence for governance and auditability (mapping approvals, run results, reconciliation reports, sign-off packs, cutover runbooks attachments).
• Produce regular status updates and dashboards for the Data Migration Lead (progress, risks/issues, decisions needed, upcoming milestones).
• Support cutover activities and mock runs (checklist execution support, results collation, variance reporting, post-run lessons learned capture).