Harvey Nash
Business Test Analyst
remote • BEL • middle • Не указана
We are looking for a hands-on **Medior Business Analyst / Test Analyst** to temporarily strengthen the **CAR DM team within CRO / Integrated Risk Management**, for a maximum period of **4 months**.
The primary objective of the assignment is to **accelerate testing and increase the team's testing capacity**. The successful candidate will combine business analysis and testing skills with a good understanding of complex data flows and, ideally, the **Lending and Credit Risk landscape**.
The candidate should be able to onboard quickly, understand existing requirements and data flows, translate them into effective test scenarios, execute tests independently, analyse data discrepancies and drive defects through to resolution.
**Strong hands-on experience in SAS and SQL is essential**, as the role requires independent querying, validation and reconciliation of large and complex Credit Risk datasets, as well as efficient root-cause analysis of data discrepancies across the CAR DM chain.
**Key responsibilities**
* Analyse business and functional requirements and translate them into **test scenarios, test cases and expected results**.
* Execute and coordinate **functional, UAT, data, non-regression, and end-to-end testing** for CAR DM deliveries.
* Validate data across the CAR DM chain, including **SoRs, UDL and downstream consumption such as Vortex**.
* Use SAS and SQL extensively to query, analyse, reconcile and validate data across source, transformation and downstream layers.
* Perform **data reconciliation and root-cause analysis** when expected and actual results differ.
* Identify, document and follow up **defects and data-quality issues** with IT, Data and Risk stakeholders.
* Determine whether issues originate from **source data, mappings, transformation logic, historization, business rules or downstream consumption**.
* Provide transparent reporting on **test progress, blockers, defects and residual risks**.
* Work closely with CAR DM Business Analysts, Data Analysts, IT Engineers and Credit Risk stakeholders to accelerate resolution.