Senior Data Business Analyst at Keyrus working at the intersection of business, data, and technology. Involves analyzing data requirements and delivering data management solutions with SQL expertise.
Responsibilities
Perform functional and data analysis , supporting decision-making during the design and mapping of data products , mostly in SQL.
Investigate functional defects in existing data products and reports , identify root cause issues in data , and recommend changes and improvements .
Collaborate with the technical team during development to address functional and data-related issues .
Define test strategies and scenarios for changes and new functionalities .
Conduct functional tests and provide evidence for Product Owner (PO) approval of changes and new functionalities .
Develop data mastering solutions and define both conceptual and logical data models .
Collaborate with technical teams to define physical data models .
Facilitate workshops with Business Subject Matter Experts (SMEs), Data Owners , and Business Owners to understand data challenges and define target state data management solutions .
Gather, document, and analyse business requirements for data management initiatives .
Define current-state processes and design target-state solutions for data management .
Drive the requirements-gathering process , ensuring alignment with business value and solution architecture .
Translate business requirements into clear, actionable functional and non-functional requirements .
Create and manage the product backlog , leading requirement prioritisation and planning .
Requirements
Proficiency in SQL , with extensive experience in data analysis, data modelling, and functional testing
10+ years of experience in Data, BI / Analytics, and Data Warehousing
Strong experience across: ETL and data integration
Data management and data quality
Data governance and metadata management
Solid understanding of data management frameworks, methodologies, and tools (knowledge of DAMA‑DMBOK is a strong plus)
Hands-on experience implementing and managing: Data Management platforms
Data Lakes and Data Warehouses
Data Mapping and Data Modelling solutions
Expertise in Agile, Scrum, and PMI project management methodologies
Demonstrated experience designing and promoting Data Governance Target Operating Models (TOM) , with a focus on Data Quality and Metadata
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