Business Analyst QA

EXL

India

On-site

INR 1,500,000 - 2,100,000

Full time

3 days ago
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Job summary

EXL is seeking an experienced professional to own the requirements-to-acceptance chain for the Entity Hub and to define what “correct” means for entity resolution and graph outputs through structured testing.

You will elicit and baseline requirements, manage traceability, lead test strategy, data quality validation, and UAT sign-offs with SMEs, ensuring milestone payments are tied to verified acceptance.

Qualifications

  • Elicit, document and baseline functional and data requirements across ingestion, canonical model, entity resolution and graph serving.
  • Translate acceptance criteria into testable conditions; secure match-quality measures before build.
  • Define test strategy, gates, entry/exit criteria and data approach for milestones.
  • Design and execute tests for data completeness, accuracy, transformations, standardization and identifier-spine integrity.
  • Build labelled validation samples; evaluate precision/recall and false positives; validate clustering and Golden Record survivorship.
  • Test node/edge accuracy, source traceability, and multi-hop traversal paths.
  • Coordinate SME review workflow; manage review queue; capture decisions and feed back as training input.
  • Log and triage defects with reproducible steps; drive root-cause analysis; document severity and closures.
  • Plan and coordinate UAT with SMEs; assemble milestone packs and secure sign-off.

Responsibilities

  • Own the requirements-to-acceptance chain for the Entity Hub.
  • Define what is considered “correct” for entity resolution and graph outputs and prove it through tests.
  • Elicit, document and baseline requirements and maintain a RTM from requirements to test evidence.
  • Translate SOW acceptance criteria into testable conditions and determine match-quality measures.
  • Define overall test strategy, gates, entry/exit criteria and test data approach for milestones.
  • Design and execute data quality tests for completeness, accuracy, transformation logic and standardization rules across six sources.
  • Build and curate labelled validation samples; evaluate precision, recall and false positives; validate clustering.
  • Coordinate SME review workflow, manage queue, capture reviewer decisions and feed back as training input.
  • Log defects, triage, drive root-cause analysis and maintain closure evidence.
  • Plan and coordinate user acceptance testing with WK SMEs; assemble milestone packs and secure written sign-off.

Skills

Requirements traceability
Test strategy
Data quality validation
Entity resolution validation
Graph validation
SME coordination
Defect management
UAT coordination

Job description

Own the requirements-to-acceptance chain for the Entity Hub. This is a combined role: define what “correct” means for entity resolution and graph outputs, then prove it through structured testing. The position is pivotal because milestone payments are released against acceptance criteria — this role writes them, traces them and validates against them.

Key Responsibilities
  • 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.
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