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EXL

Business Data Analyst

EXL Noida, Uttar Pradesh, India

Business Consulting and Services · 10,001+ employees

4 h ago
data-analyst Senior (5-10 yrs) Full-time India
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About the role

The role acts as a liaison between technical and business teams to gather requirements and understand functionality. Responsibilities include performing data profiling, creating data mapping and lineage documentation, and standardizing master data across systems.

What they look for

Data Analysis Data Mapping Data Transformation Snowflake SQL Business Requirement Gathering Source-to-target Mappings Data Consolidation Data Standardization Insurance Domain Policy & Claims Lifecycle Reinsurance Data Vault 2.0 Data Modeling Data Profiling Data Lineage

Requirements

Candidates must have 3-6 years of experience in large-scale data applications, specifically with Snowflake, SQL, and relational databases. Proficiency in the Property and Casualty insurance domain, including policy and claims lifecycles, is mandatory.

Full description

Role: Business Data Analyst

Location – Gurugram

Exp : 3-6 Years

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

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