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Business Data Analyst

EXL • SQL • Data Vault • 1 day ago
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Salary
≈ $12k – $27k per year (Estimated)
Location
In office (Pune)
Seniority
Middle · 3+ years exp

Confirmed on the employer's own hiring board on Oct 8, 2026. First seen by Alion on Oct 8, 2026. EXL scores B on the Alion truth index.

Overview
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Profile match

EXL

EXL, legally ExlService Holdings, is a data analytics, AI and digital operations company headquartered in New York that runs outsourced business processes and builds data and AI solutions for insurers, healthcare organisations, banks, media and retail companies. Founded in 1999 and listed on Nasdaq, it has more than 60,000 employees across six continents, with large delivery centers in Noida, Gurgaon, Pune, Bengaluru and Chennai and a newer AI hub in Dublin. It hires data scientists and data engineers, GenAI and MLOps engineers, analytics managers, solution consultants and client partners, plus talent acquisition, finance and medical coding staff.
exlservice.com • HQ: New York, United States • AI Consulting & Integration • Analytics & BI Consulting • Business Process Outsourcing (BPO) • 5000+ employees • Est. 1999
Tech stack of EXL

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

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

Bachelor

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