Lead Analyst - Data Operations

Job Description: Value Proposition Data Quality team, We ensure that data is accurate, consistent, and reliable empowering Bank to make confident, data-driven decisions. By proactively identifying and resolving data issues, we reduce risk, enhance operational efficiency, and support strategic growth. Job Details Position Title: Lead Analyst - Data Operations Career Level: P3 Job Category: Manager Role Type: Hybrid Job Location: Bangalore About the Team: The Data Quality Team is responsible for ensuring that the organization s data is accurate, consistent, complete, and timely. This team plays a critical role in maintaining the integrity of data across all business systems, which is essential for making sound business decisions and maintaining trust with stakeholders. Impact The Data Quality Team plays a vital role in strengthening a bank s performance, reputation, and regulatory compliance by ensuring the accuracy, completeness, and consistency of data across all banking systems. Key Deliverables (Duties and Responsibilities) Python : Understand requirements, write strong, clean and reusable code that can be easily maintained and scaled. SQL: Help write and optimize in-application SQL statements Collaborate with cross-functional teams (e.g., developers, Business owners, project managers, business analysts) to gather requirements and implement solutions. Excellent communication skills with exceptional writing and verbal communication skills to interact with stakeholders. Communicate technical information clearly and effectively. Prepare documentations and specifications. Handle common database procedures such as upgrade, backup, recovery, migration, etc. Knowledge of SQL Query writing and database security best practices. Profile server resource usage and optimize and tweak as necessary. Collaborate with other team members and stakeholders. Ensure performance, security, and availability of databases. Analyze performance issues and implement solutions. Skills and Qualification (Functional and Technical Skills) Functional Skills: Data Governance background: Exposure to Data Governance, Client data remediation, Data Quality, DQ issue management, DQ control and exceptions remediation in BFSI domain and if any experience in the used cases like CECL, CCAR, FRY14 Schedules, 10K/10Q, Party data, LFI KDEs, FCO KDEs etc. Demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. IMB IA, Informatica DQ, Collibra); Understanding of Agile development methodologies, software, data lineage, Data Profiling and data mapping, Experience in Data quality dimension analysis. Up-skilling: Capacity to upskill, constantly learn and independent thinking required. Technical Skills: SQL Developer: Strong proficiency with SQL and its variation among popular databases, exposure to Netezza would be added advantage. Analyze existing SQL queries for performance improvements. Create complex functions and stored procedures. Analyze queries, develop security protocols, and resolve problem. Design database architecture and create dashboards. Write complex queries for applications and business intelligence reporting. Exposure to Database design, structure, and development Suggest new queries and increase efficiency of existing queries. Capable of troubleshooting common database issues Skilled at optimizing large, complicated SQL statements. Develop procedures and scripts for data migration. Knowledge of best practices when dealing with relational databases Capable of configuring popular database engines and orchestrating clusters as necessary Data Visualization & Dashboard Development: Preferred to have exposure to data visualization tools. Required Education and Experience 6-10 years of experience as a Python and SQL Developer with a strong portfolio of projects. In-depth understanding of the Python software development stacks, ecosystems, frameworks. Relationships & Collaboration Participate in the entire software development lifecycle, building, testing, and delivering high-quality solutions. Collaborate with cross-functional teams to identify and solve complex problems. Accessibility Needs We are committed to providing an inclusive and accessible hiring process. If you require accommodations at any stage (e.g. application, interviews, onboarding) please let us know, and we will work with you to ensure a seamless experience.)