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Assistant Vice President - Data Analyst (bfsi/ Banking) @ A Leading global

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 Assistant Vice President - Data Analyst (bfsi/ Banking)

Job Description

Greetings from Avtar !


The Senior Analyst will be responsible for managing data and business requirements with multiple domains of core banking. Specific responsibilities include:

 1. Subject Matter Expertise & Source System Analysis:

  • Subject matter expert on the data structures and business processes of key financial product systems, including Trade Finance, Lending, Financial Markets/Treasury, and CASA/Core Banking.
  • Analyse the data models of these new source systems to understand table structures, key relationships, data fields, and their business meaning.

2. Data Modelling & Mapping:

  • Collaborate closely with Data Architects and Engineers to define and refine the logical Domain Data Model within the Databricks Lakehouse (Silver Layer).
  • Lead workshops with business SMEs from Trade Finance, Lending, Treasury, and Operations to gather detailed data requirements for downstream consumers (e.g., regulatory reports, financial statements, risk dashboards).

3. Stakeholder Collaboration & Functional Support:

  • Serve as the Single Point of Contact (SPOC) for all functional data-related queries from internal teams and external vendors involved in the development and testing of ETL/ELT pipelines.
  • Provide expert data analysis support to business and operations teams, helping them understand data lineage, troubleshoot data discrepancies, and perform ad-hoc analysis to answer complex business questions.

Key Deliverables

  • Data Model Assessment: Comprehensive analysis of upstream system data models (Trade360, ACBS, Murex, Flexcube).
  • Domain Data Model: Defined and documented domain data model in Databricks.
  • Mapping Documentation: Field-level mappings and transformation rules for target systems.
  • Query Resolution: Timely resolution of functional data queries from vendors and stakeholders.
  • Data Analysis: Insights and reports to support business and operations teams.

Qualifications & Experience

  • Required:
    • Bachelors degree in Finance, Economics, Information Systems, or a related field.
    • 12 + years of experience as a Data Analyst, Business Analyst, or Systems Analyst within the Banking and Financial Services (BFS) domain.
    • Mandatory hands-on experience and functional understanding of the data models of at least two of the following core banking systems, Trade Finance: CGI Trade 360; Lending: ACBS; Treasury / Financial Markets: Murex; CASA/Deposits): Oracle Flexcube, or similar products.
    • Proven experience in creating detailed Source-to-Target Mapping documents and functional specification documents.
    • Strong proficiency in data management tools, SQL for complex data querying, analysis, and data profiling, visualization tools.

Desired/Preferred:

    • Experience working on large-scale data migration, data warehousing, or core banking transformation projects.
    • Familiarity with modern data platforms and concepts (e.g., Data Lakehouse, Medallion Architecture).
    • Experience with Databricks or PySpark is a significant advantage.
    • Knowledge of financial and regulatory reporting requirements in the banking sector.

Interested candidates can share their updated profiles at ma*******************l@av****c.com


Job Classification

Industry: Banking
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: A Leading global
Location(s): Chennai

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Keyskills:   Data Modeling Pyspark Data Lakehouse Data Analysis Medallion Architecture ETL Data Bricks SQL

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