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.

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.

Required Skills & Experience

Skill Area Specific Requirements
Business Analysis Requirements elicitation, user stories, functional specifications, RTM, data dictionaries, source-to-target mapping documentation
QA / Testing Test strategy, test planning, test case design, regression suites, UAT coordination, defect lifecycle management
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

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
- Robust 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)

Key Deliverables Owned

- Requirement Traceability Matrix (RTM)
- Test Strategy, Test Plans, Test Scenarios and Test Cases
- Entity resolution evaluation results and match-quality reports
- Node/edge accuracy validation evidence
- 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).

📌 Business Analyst (Gurugram)
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