Quality Analyst

EXL; Gurugram District; On-site; INR 1,500,000 - 2,600,000; Full time

Job summary

EXL is seeking an experienced dual BA/QA professional to own requirements, define test strategies, and validate data across ingestion, canonical model, entity resolution and graph services in a data platform program.

You will build RTMs, write acceptance criteria, coordinate UAT with external stakeholders, and drive defect management while ensuring data quality, accuracy and traceability across six sources.

Qualifications

• 6+ years combined Business Analysis and QA experience on data platform or data warehouse programmes.
• Demonstrable experience writing acceptance criteria that were used for formal client sign‑off.
• Strong SQL — able to independently write reconciliation and validation queries.
• Experience maintaining a Requirement Traceability Matrix on a regulated or enterprise client engagement.
• Experience coordinating UAT with external client stakeholders.

Responsibilities

• Elicit, document and baseline functional and data requirements; maintain RTM from requirement to test evidence.
• Translate SOW acceptance criteria into testable conditions; secure agreement on match-quality measures.
• Define the overall test strategy, entry/exit criteria and test data approach for milestones.
• Design and execute tests for data completeness, accuracy, transformation rules and identifier integrity across six sources.
• Build and curate labelled/golden validation samples; evaluate precision/recall and false positives; validate clustering and Golden Record survivorship.
• Test node/edge accuracy, source traceability and multi-hop traversal against expected paths.
• Coordinate SME review workflow, manage review queue and feed feedback as training input.
• Log, triage and track defects with reproducible steps; drive root-cause analysis on data discrepancies.

Skills

Advanced SQL

Data validation

RTM ownership

Acceptance criteria

UAT coordination

Test planning

Stakeholder facilitation

Tools

QTest

Jira

ADO

Excel

Postman

Power BI

Job description

• Requirements & traceability — elicit, document and baseline functional and data requirements across ingestion, canonical model, entity resolution and graph serving; maintain a Requirement Traceability Matrix (RTM) from requirement through to test evidence.
• Acceptance criteria ownership — translate SOW stage acceptance criteria into testable, measurable conditions; secure WK agreement on match-quality measures (precision/recall) and NLQ scenarios before build begins.
• Test strategy & planning — define the overall test strategy, quality gates, entry/exit criteria and test data approach for each milestone.
• Data quality validation — design and execute tests for data completeness, accuracy, transformation logic, standardization rules and identifier-spine integrity across all six sources.
• Entity resolution validation — build and curate labelled/golden validation samples; evaluate match precision, recall and false-positive rates; validate clustering and Golden Record survivorship logic.
• Graph validation — test node and edge accuracy, source traceability, and multi-hop traversal scenarios against expected paths.
• Human-in-the-loop coordination — operate and coordinate the SME review workflow, manage the review queue, capture reviewer decisions and feed them back as training/tuning input.
• Defect management — log, triage and track defects with reproducible steps; drive root‑cause analysis on data discrepancies; maintain severity classification and closure evidence.
• UAT & sign‑off — plan and coordinate user acceptance testing with WK SMEs; assemble milestone acceptance packs and secure written sign‑off within the agreed review window.

Required Skills & Experience

Skill Area

Specific Requirements

Business Analysis

QA / Testing

Data Testing

Advanced SQL for reconciliation, source‑to‑target validation, aggregation and business‑rule testing, data integrity and constraint checks

Platform

Microsoft Fabric (Lakehouse, Delta tables, pipelines), OneLake, SQL analytics endpoints

Domain (advantageous)

Entity/master data concepts, match precision & recall, data quality dimensions, corporate hierarchy and ownership data

Tools

Test management platforms (QTest/Jira/ADO), Excel, Postman for API validation, Power BI for validation reporting

Soft Skills

Client‑facing communication, stakeholder facilitation, precision in written acceptance language, structured escalation

Must‑Have Qualifications

• 6+ years combined Business Analysis and QA experience on data platform or data warehouse programmes
• Demonstrable experience writing acceptance criteria that were used for formal client sign‑off
• Strong SQL — able to independently write reconciliation and validation queries
• Experience maintaining a Requirement Traceability Matrix on a regulated or enterprise client engagement
• Experience coordinating UAT with external client stakeholders

Nice‑to‑Have

• Exposure to entity resolution, MDM or data‑matching projects
• Familiarity with Microsoft Fabric or Azure data services
• Understanding of graph data structures (nodes, edges, traversal)
• Experience with statistical quality measures (precision, recall, F1)
• Requirement Traceability Matrix (RTM)
• Test Strategy, Test Plans, Test Scenarios and Test Cases
• Entity resolution evaluation results and match‑quality reports
• Defect log, RCA reports and closure evidence
• UAT sign‑off and milestone acceptance packs

Dual Role / Complementary Skills

This is already a deliberate dual role (BA + QA). The pairing is intentional: the person who defines acceptance criteria is best placed to test against them, creating a tight traceability loop and removing hand‑off ambiguity. Complementary overflow: this role can absorb a portion of project‑coordination and documentation work alongside the Project Manager (who is at 75% FTE).