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Business Analyst Offshore at EXL Talent Acquisition Team

Gurugram, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

21 Jun, 26

Salary

0.0

Posted On

23 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Data Mapping, Data Transformation, Snowflake, Relational Db, BRD Creation, Requirements Gathering, SQL, Source-to-Target Mappings, Data Consolidation, Data Standardization, Data Profiling, Data Lineage, Data Modeling, Insurance Domain, P&C

Industry

Business Consulting and Services

Description

Role: Business Data Analyst Location – Gurgaon Exp : 3-6 Must-Have: 5 + 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

Responsibilities

The role involves acting as a liaison between technical and business teams to understand functionality and data, including performing data profiling and understanding data quality. Responsibilities also include creating data mapping, data lineage documents, and design documents detailing data mappings and transformations.