Business Data Analyst
EXL Pune, Maharashtra, India
Business Consulting and Services · 10,001+ employees
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About the role
Act as a liaison between technical and business teams to understand functionality and data requirements. Perform data profiling, mapping, and standardization while creating design documentation for stakeholders.
What they look for
Requirements
Requires 3-6 years of experience in large-scale data applications with proficiency in SQL, Snowflake, and data mapping. Candidates must have specific domain knowledge in Property and Casualty Insurance, including policy and claims lifecycles.
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
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
Qualifications
Bachelor
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