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Business Data Analyst

exl Service.com (India) Private Limited
Pune, IND
Full-time
Mid · 3–6 years experience
Hybrid
Discovered 3 weeks ago
snowflakesql

Full Job Posting

Must-Have:

  • 3-6 years of work experience in large-scale Data applications doing Data Analysis, Data Mapping, and Data Transformations.
  • Experience in Snowflake, Any relational DB, BRD creation, requirements gathering
  • Very good Verbal & Written communication & tracking skills
  • SQL, business requirement gatherings, Source-to-target mappings (STTM) writing
  • Should have exposure to data consolidation, transformation, and standardization
  • Experience with Insurance (Property and Casualty Insurance - P&C) Domain clients. Policy & Claims lifecycle and reinsurance business is a must.
  • Must be able to integrate quickly into the team and work independently towards team goals
  • Good to Have-
  • Knowledge of Data Vault 2.0, Data Modeling
  • Role & Responsibilities:
  • Act as liaison between the technical and business teams.
  • Should be able to connect with Client SME & understand Functionality, Data
  • Should be able to do Data Profiling - Understand the quality of Data and critical Data elements- How to standardize Reference, and master data across systems
  • Work Data mapping, Data lineage docs, data models, and design docs that allow stakeholders to understand data mappings & transformations
  • Key Skills: Data Analysis, Mapping, Transformation, and Standardization. SQL, Data Modelling, Requirement Understanding, STTM writing, Insurance Domain understanding, Data Vault 2.0
  • Bachelor

Responsibilities

  • Role & Responsibilities:
  • Act as liaison between the technical and business teams.
  • Should be able to connect with Client SME & understand Functionality, Data
  • Should be able to do Data Profiling - Understand the quality of Data and critical Data elements- How to standardize Reference, and master data across systems
  • Work Data mapping, Data lineage docs, data models, and design docs that allow stakeholders to understand data mappings & transformations

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