Data Analytics Tester (Azure, SQL, BI, ETL, Financial Data)

Job Responsibilities

The Data Analytics Tester works closely with business stakeholders and the technology team to review and test Business Intelligence (BI) solutions firmwide including but not limited to validating the quality accuracy, reliability, compliance and performance of reports, dashboards, data pipelines, and general data analysis solutions.

• Develop and execute comprehensive test scenarios for BI reports and dashboards.
• Ensure data accuracy, security and compliance around legal performance metrics are accurately presented on BI reports and dashboards.
• Verify, validate, and analyse accuracy of data models used in reports to ensure data synchronization and consistency across different platforms.
• Review data specifications and requirements with data analytics developers, business analysts and enterprise architects, and develop test plans, test cases, and test scripts.
• Perform functional, regression, integration and performance testing of reports, dashboards and data analysis solutions; document and track related defects and issues.
• Contribute to the design and development of data architecture and on-prem and cloud data warehouses.
• Contribute to the Business Intelligence and data analytics roadmap planning for continuous improvement, and process evolution.

Skills Required

• Financial data and Business Intelligence reports analysis
• Legal practice management systems, legal workflows, case/matter lifecycles, document management processes
• Testing methodologies using predictive (plan-driven) approaches or adaptive (iterative/agile) approaches.
• Data quality, data integration and data validation testing
• Comprehensive knowledge and experience of data visualization and testing in a professional service environment
• Proficiency in SQL or other data analysis tools and languages
• Experience with Azure Data Services (Azure Data Lake, Data Factory, Synapse Analytics, Fabric) highly desirable.
• Experience with data analytics, report curation, data modelling, data profiling.

This role offers hybrid working - 2/3 days WFH.