01Overview
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 companys 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 & DocumentationDevelop 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 CheckingSupporting 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 SupportSupport 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 .
