Zensar is a leading digital solutions and technology services company that specializes in partnering with global organizations across industries on their Digital Transformation journey. A technology partner of choice, backed by a strong track-record of innovation; credible investment in digital solutions; and assertion of commitment to client’s success, Ze...
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Proven experience as a Business Analyst or Data Analyst on data-centric technology implementations, ideally within Financial Crime, Transaction Monitoring, Client Screening, KYC or AML domains.
Practical experience querying relational databases using SQL, including proficiency with tools such as SQL Server Management Studio.
Ability to interrogate and test APIs using tools like Bruno or Postman, including constructing requests, analysing payloads, and validating responses.
Understanding of Azure concepts, particularly data products, data pipelines, storage accounts, API management and DevOps delivery practices.
Strong understanding of data models, API structures and data integration concepts, including JSON, REST APIs and data pipelines.
Ability to translate technical data flows and system behaviour into clear, actionable business requirements.
Familiarity with non-functional and control requirements such as timeliness, completeness, reconciliation, lineage and auditability.
Experience documenting business processes and supporting configuration or user interface workflow design.
Excellent stakeholder engagement and communication skills across business, technology and vendor teams.
Responsibilities
Proven experience as a Business Analyst or Data Analyst on data-centric technology implementations, ideally within Financial Crime, Transaction Monitoring, Client Screening, KYC or AML domains.
Practical experience querying relational databases using SQL, including proficiency with tools such as SQL Server Management Studio.
Ability to interrogate and test APIs using tools like Bruno or Postman, including constructing requests, analysing payloads, and validating responses.
Understanding of Azure concepts, particularly data products, data pipelines, storage accounts, API management and DevOps delivery practices.
Strong understanding of data models, API structures and data integration concepts, including JSON, REST APIs and data pipelines.
Ability to translate technical data flows and system behaviour into clear, actionable business requirements.
Familiarity with non-functional and control requirements such as timeliness, completeness, reconciliation, lineage and auditability.
Experience documenting business processes and supporting configuration or user interface workflow design.
Excellent stakeholder engagement and communication skills across business, technology and vendor teams.
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