Analyst
Tata Consultancy Services
Role - Data Analyst Microsoft Copilot Location- Charlotte, NC Exp- 5 to 8 years Roles & Responsibilities
• Extensive development experience in Advanced SQL (analytical/window functions, complex joins, performance tuning).
• Strong experience with Microsoft Copilot (M365 Copilot, Copilot Studio)
• Drive Copilot adoption programs, including training, demos, and best practices.
• Translate banking workflows into Copilot-supported processes using M365.
• Perform prompt refinement, testing, and validation for banking use cases.
• Act as a trusted Copilot expert, advising teams on best practices.
• Proven experience in SQL performance tuning for large-scale distributed data sets.
• Excellent problem-solving, debugging, and analytical skills.
• Excellent Presentation skills and Communicationability to translate complex data concepts into clear, actionable insights for the team.
• Nice to have work experience in Bigdata Hadoop (Hive/Beeline/Impala). Data Sourcing & Feature Readiness
• Lead the discovery and profiling of fraud-relevant data across core banking, deposits, cards, payments, digital channels, and third-party data sources.
• Build robust SQL data extracts and join strategies (historical + incremental) to support supervised and semi-supervised ML.
• Create datasets for training/validation/scoring with clear time-travel and label leakage controls. D ata Quality & Controls
• Define and implement DQ checks (completeness, uniqueness, freshness, referential integrity), SLAs, and alerting.
• Maintain data dictionaries, lineage maps, and business rule documentation; ensure compliance with data privacy and retention policies.
• Extensive development experience in Advanced SQL (analytical/window functions, complex joins, performance tuning).
• Strong experience with Microsoft Copilot (M365 Copilot, Copilot Studio)
• Drive Copilot adoption programs, including training, demos, and best practices.
• Translate banking workflows into Copilot-supported processes using M365.
• Perform prompt refinement, testing, and validation for banking use cases.
• Act as a trusted Copilot expert, advising teams on best practices.
• Proven experience in SQL performance tuning for large-scale distributed data sets.
• Excellent problem-solving, debugging, and analytical skills.
• Excellent Presentation skills and Communicationability to translate complex data concepts into clear, actionable insights for the team.
• Nice to have work experience in Bigdata Hadoop (Hive/Beeline/Impala). Data Sourcing & Feature Readiness
• Lead the discovery and profiling of fraud-relevant data across core banking, deposits, cards, payments, digital channels, and third-party data sources.
• Build robust SQL data extracts and join strategies (historical + incremental) to support supervised and semi-supervised ML.
• Create datasets for training/validation/scoring with clear time-travel and label leakage controls. D ata Quality & Controls
• Define and implement DQ checks (completeness, uniqueness, freshness, referential integrity), SLAs, and alerting.
• Maintain data dictionaries, lineage maps, and business rule documentation; ensure compliance with data privacy and retention policies.
Vacancy posted 4 days ago
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