Business Analyst

EXL

. Elicit, document, and baseline functional and data requirements across ingestion, canonical model, entity resolution, and graph serving .

Posted 10/7/2026full-timeGurugram • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in requirements elicitation, test strategy development, and data quality validation within data platform projects. Proficient in SQL for data reconciliation and validation, with strong client-facing communication skills to facilitate stakeholder engagement.

Highest-signal resume keywords

Requirements ElicitationTest Strategy DevelopmentAdvanced SQL ProficiencyUAT CoordinationDefect Lifecycle Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Requirements ElicitationAcceptance Criteria WritingTest Case DesignData Quality TestingSQL Query WritingData Integrity ChecksSource-to-Target MappingRegression TestingDefect TrackingData Dictionary Documentation

Soft Skills

Client-Facing CommunicationStakeholder FacilitationPrecision in Written CommunicationStructured Escalation

Tools & Technologies

Microsoft FabricQTestJiraADOExcelPostmanPower BI

Certifications & Qualifications

Bachelor's Degree

Industry Keywords

Requirement Traceability MatrixData PlatformData WarehouseUATEntity ResolutionGraph ServingTest ManagementValidation Reporting

Tech Stack

Tools & technologies

Node.jsSQL

About the role

Key responsibilities & impact

Elicit, document, and baseline functional and data requirements across ingestion, canonical model, entity resolution, and graph serving
Maintain a Requirement Traceability Matrix from requirement through test evidence
Translate SOW stage acceptance criteria into testable, measurable conditions
Secure agreement on match-quality measures and NLQ scenarios before build begins
Define test strategy, quality gates, entry/exit criteria, and test data approach for each milestone
Design and execute data-quality tests for completeness, accuracy, transformation logic, standardization rules, and identifier-spine integrity
Build and curate labelled/golden validation samples and evaluate entity-resolution precision, recall, and false-positive rates
Validate clustering, Golden Record survivorship logic, graph node and edge accuracy, source traceability, and multi-hop traversal scenarios
Coordinate SME review workflows and feed reviewer decisions into training/tuning input
Log, triage, and track defects; drive root-cause analysis and maintain closure evidence
Plan and coordinate UAT with WK SMEs, assemble milestone acceptance packs, and secure written sign-off

Requirements

What you’ll need

Bachelor's Degree
6+ years combined Business Analysis and QA experience on data platform or data warehouse programmes
Demonstrable experience writing acceptance criteria used for formal client sign-off
Strong SQL, including independently writing reconciliation and validation queries
Experience maintaining a Requirement Traceability Matrix on a regulated or enterprise client engagement
Experience coordinating UAT with external client stakeholders
Requirements elicitation, user stories, functional specifications, RTM, data dictionaries, and source-to-target mapping documentation
Test strategy, test planning, test case design, regression suites, UAT coordination, and defect lifecycle management
Advanced SQL for reconciliation, source-to-target validation, aggregation and business-rule testing, data integrity and constraint checks
Microsoft Fabric, including Lakehouse, Delta tables, pipelines, OneLake, and SQL analytics endpoints
Test management platforms such as QTest, Jira, or ADO
Excel, Postman for API validation, and Power BI for validation reporting
Client-facing communication, stakeholder facilitation, precision in written acceptance language, and structured escalation

Benefits

Comp & perks

Hybrid work arrangement
Full-time employment