About the role

Overview

We are looking for a highly capable Data Analyst / Data Modeler contractor to support a major enterprise data transformation programme, the Data Integration Hub (DIH).

This role sits within a high-performing Data Architecture & Engineering function and will play a key part in delivering clean, reconciled, and business-ready data into our analytical platforms.

You will work at the heart of the programme, bridging business requirements, data modelling, and engineering delivery.

Experience Range: 5-9 Years

Location: Bangalore(preferred)/ Pan India

Key Responsibilities

  • Analyse complex datasets to understand structures, relationships, and data quality issues
  • Define source-to-target mappings and detailed transformation logic
  • Develop and maintain conceptual, logical, and physical data models
  • Translate requirements into clear pseudo-logic and implementation-ready specifications
  • Perform data reconciliation and variance analysis between legacy and new platforms
  • Identify and resolve data issues through structured root cause analysis
  • Support testing and validation activities during key delivery and go-live phases
  • Work closely with Data Engineers, Architects, and business stakeholders to ensure delivery of high-quality data

Skills & Experience

  • Strong experience in data modelling (conceptual, logical, physical)
  • Proven capability in data analysis and source-to-target mapping

What you'll do

Key Responsibilities

  • Analyse complex datasets to understand structures, relationships, and data quality issues
  • Define source-to-target mappings and detailed transformation logic
  • Develop and maintain conceptual, logical, and physical data models
  • Translate requirements into clear pseudo-logic and implementation-ready specifications
  • Perform data reconciliation and variance analysis between legacy and new platforms
  • Identify and resolve data issues through structured root cause analysis
  • Support testing and validation activities during key delivery and go-live phases
  • Work closely with Data Engineers, Architects, and business stakeholders to ensure delivery of high-quality data

What we're looking for

Skills & Experience

  • Strong experience in data modelling (conceptual, logical, physical)
  • Proven capability in data analysis and source-to-target mapping
  • Advanced SQL skills for profiling, validation, and complex queries
  • Experience defining transformation logic / pseudo-code for data pipelines
  • Good understanding of data warehousing and ETL/ELT processes
  • Strong problem-solving and data debugging skills
  • Experience working in complex, multi-system data environments
  • Knowledge of PySpark, SparkSQL advantageous to the role

What We’re Looking For

  • A hands-on, detail-oriented data specialist who thrives in complex environments
  • Someone who can bridge business and engineering with clarity and structure
  • Strong communicator, comfortable working with distributed teams within Data Architecture & Engineering function and across external functions
  • Experience in data reconciliation, quality, and governance-driven programmes is highly desirable

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