Lead Analyst - Master Data Management (Informatica / MDM / SQL)

FC Global Services India LLP (First Citizens India), a part of First Citizens BancShares, Inc., a top 20 U.S. financial institution, is a global capability center (GCC) based in Bengaluru. Our India-based teams benefit from the company’s over 125-year legacy of strength and stability. First Citizens India is responsible for delivering value and managing risks for our lines of business. We are particularly proud of our strong, relationship-driven culture and our long-term approach, which are deeply ingrained in our talented workforce. This is evident across all key areas of our operations, including Technology, Enterprise Operations, Finance, Cybersecurity, Risk Management, and Credit Administration. We are seeking talented individuals to join us in our mission of providing solutions fit for our clients’ greatest ambitions. Job Description: Job Description Value Preposition: Shaping the Future of Enterprise Master Data Management within Enterprise Data & Analytics. Lead and strengthen MDM data consumption, quality, validation, and downstream reporting processes. Drive data integrity across Customer 360 / Reference 360 ecosystems while enabling high-quality, governed, and analytics-ready data for enterprise and regulatory consumption. Contribute to the evolution of data culture by building and enhancing data infrastructure, reporting frameworks, optimizing data pipelines, Data remediation for Regulatory Reporting needs and mentoring teams on data storytelling and visualization best practices with advanced data technologies and experience. Job Details Position Title: Lead Data Analyst – Enterprise Data & Analytics Career Level: P3 Job Category: Manager Role Type: Hybrid Job Location: Bangalore Shift Timing - 2 pm - 11 pm About the Team: This role operates within the MDM Data Management – Customer 360 / Reference 360 Programme , supporting enterprise-wide data consumption and downstream reporting. The team ensures that MDM golden records are accurately propagated across APIs, batch pipelines, Snowflake, and reporting layers. The Lead Analyst plays a critical role in bridging data producers and consumers , ensuring that MDM data is reliable, well-documented, and aligned with business and regulatory expectations. Working collaboratively with cross-functional pod members, the Business Analyst will drive efficient workflows, optimize data systems, and support iterative delivery in a fast-paced Agile environment. Impact: The P3 Junior MDM Analyst supports the analysis, validation, and documentation activities required to ensure that data flowing from MDM 360 (Customer 360 / Reference 360) into downstream systems is accurate, consistent, and fit for purposes. This is an analyst — not a developer — role. Rather than building pipelines or writing production code, the Junior MDM Analyst interprets data flows, documents findings, validates data quality, supports requirements gathering, and assists with UAT and reconciliation reviews across consumption and reporting workstreams. This role is an excellent entry point into MDM programme delivery, offering exposure to: MDM 360 → APIs / Batch → Snowflake → Financial Reporting → UI Consumption Key Deliverables (Duties & Responsibilities): 1. MDM Data Understanding & Documentation Develop a working understanding of MDM golden record structures and how data flows from MDM 360 to downstream systems Document data flows, field mappings, and transformation logic under the guidance of the P4 Analyst or BA Lead Maintain and update data mapping registers, attribute lists, and business rule logs as requirements evolve Assist in maintaining the MDM data dictionary — recording field definitions, data types, and ownership Note and escalate data anomalies or gaps in documentation identified during analysis activities 2. Data Validation & Quality Checking Supporting validation across the consumption data flow — from MDM through to reporting: Run and review data validation checks across: MDM golden records vs. API payload outputs Batch pipeline outputs vs. expected source data Snowflake consumption layer vs. MDM source records UI-displayed data vs. MDM and Snowflake outputs Use SQL (with guidance) to query datasets, identify discrepancies, and validate attribute-level accuracy Apply data quality checks across key dimensions — completeness, accuracy, consistency — and document outcomes Log and track data quality issues in agreed tooling (e.g. JIRA, SharePoint, Excel trackers) Escalate unresolved or high-impact data discrepancies to the P4 Analyst or BA Lead promptly 3. Downstream Reporting & Financial Data Support Support validation of MDM data used in financial and regulatory reporting layers Assist in reconciliation activities between: MDM golden records and Snowflake reporting datasets Reporting output and expected business values for key financial attributes and hierarchies Document reconciliation results clearly — noting matched records, mismatches, and volumes Assist in investigating data breaks and reporting discrepancies by gathering relevant data and preparing findings for P4 review Track and follow up on outstanding reconciliation items through to resolution 4. Requirements Support & Analysis Documentation Supporting the P4 BA in translating business needs into clear, documented requirements: Attend requirements workshops, take structured notes, and circulate agreed actions and decisions Assist in drafting user stories, acceptance criteria, and data mapping specifications under senior guidance Review and cross-check requirements documents for completeness, consistency, and alignment with MDM data standards Maintain up-to-date requirements logs and traceability matrices for the consumption workstream Raise questions and clarification points with the P4 Analyst when requirements are unclear or ambiguous 5. API & Batch Pipeline Validation Support From an analysis — not development — standpoint: Review API payload structures (JSON) and validate that field mappings match agreed data specifications Use API testing tools (Postman, Swagger) under guidance to inspect responses and document findings Monitor batch job outcomes and validate data completeness and successful execution against expected results Log pipeline validation findings and assist in drafting defect descriptions for technical teams Track open pipeline issues through to resolution, providing status updates to the P4 lead 6. UAT Support & Defect Tracking Support UAT activities across API, batch, Snowflake, and reporting validation scenarios Execute test cases defined by the P4 Analyst or BA Lead — validate data movement accuracy and business rule adherence Log defects clearly and completely in agreed defect tracking tools — including steps to reproduce, observed vs. expected results, and data evidence Track defects through to resolution and retest fixes as required Assist in preparing UAT summary notes and test evidence for sign-off activities Skills and Experience : Analytical Skills Strong attention to detail — able to spot discrepancies in data across multiple systems Structured thinking and ability to organise findings clearly in written form Comfortable working with large datasets and identifying patterns, gaps, or anomalies Ability to ask the right questions and escalate issues appropriately Data & Technical Acumen Intermediate SQL — able to write and run queries for data validation, comparison, and reconciliation (joins, filters, aggregations) Familiarity to some expertise in API concepts (REST/JSON) — able to read and interpret payloads with guidance Basic exposure to Snowflake or similar cloud data platforms (querying and exploring data) Understanding of data quality concepts — completeness, accuracy, consistency, and timeliness Comfortable using tools such as Excel, JIRA, Confluence, Postman, or Swagger for analysis and tracking tasks MDM & Data Knowledge Basic understanding of Master Data Management concepts — what MDM is, why golden records matter, and how data flows between systems Awareness of how downstream systems (Snowflake, reporting tools, UI applications) consume MDM data Exposure to Informatica Customer 360 / Reference 360 is a plus, but not required Soft Skills Proactive learner — eager to build MDM and data analysis knowledge on the job Clear written communication — able to document findings, defects, and notes in a structured, readable format Reliable and organized — able to manage assigned tasks, track progress, and meet deadlines Collaborative team player — works effectively in an offshore delivery model with onsite and P4 colleagues Comfortable asking for help and working under senior guidance without needing full autonomy Technical Skills: Hands on experience in database connectivity, SQL Server / Dev, Oracle, Snowflake, Netezza, both on-prem and in cloud. And familiarity with ETL and data virtualization tools. Experience in MDM/360, API Good Knowledge or experience in Python, AI / ML , Data visualization tools like Power BI, Tableau Preferred Qualifications Bachelor’s degree in business, Information Systems, Data Analytics, or a related field with 7-10 years’ experience Exposure to banking or financial services data environments Familiarity with Agile delivery — experience attending stand-ups, sprint reviews, or retrospectives Exposure to data reconciliation tasks in a reporting or analytics context Interest in or awareness of data governance, data cataloguing, or MDM frameworks What Good Looks Like in This Role ​​ . Data validation - Runs checks, logs results, flags mismatches Root cause is unclear, or impact is high Reconciliation - Executes reconciliation steps, documents findings Unexplained volume differences or systemic breaks Requirements - Takes notes, drafts user stories, checks completeness Conflicting requirements or scope ambiguity Defect logging - Logs full defect detail, retests fixes Defect is disputed or requires architectural decision UAT - Execute test cases, logs results Business sign-off decisions or critical failures SQL queries - Writes and runs validation queries with guidance Complex multi-system queries or performance issues Key Success Measures Accuracy and completeness of data validation outputs and reconciliation documentation Quality of defect logs — clear, reproducible, and fully evidenced Timely escalation of data issues and discrepancies to P4 leads Reliable completion of assigned UAT test cases within sprint or release timelines Growing confidence and independence in SQL-based validation and data analysis tasks over time Positive feedback from Senior Leads on quality of support and documentation Role Positioning at a Glance Primary Focus: Data validation, reconciliation support, and requirements documentation across MDM consumption workstreams Analyst — Not Developer: Interprets, documents, and validates data flows — does not build pipelines or write production code Key Strength: Attention to detail + growing MDM data knowledge + structured documentation and communication Supports: MDM Team, Senior, Juniors MDM Analysts and Product Lead across all consumption, Data Quality, Remediation and reporting workstreams Relationships & Collaboration Reports to: Senior MDM Lead / Data Management Leadership Partners: Data Engineering, Operational/Reporting Teams, Data Stewards, Business Stakeholders, Senior leaders and cross-functional teams. 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. Equal Employment Opportunity FC Global Services India LLP (First Citizens India) is an Equal Employment Opportunity Employer. We are committed to fostering an inclusive and accessible environment and prohibit all forms of discrimination on the basis of gender, religion, caste, disability, sexual orientation, economic status or any other characteristics protected by the law. We strive to foster a safe and respectful environment in which all individuals are treated with respect and dignity. Our EEO policy ensures fairness throughout the employee life cycle.