Data Analyst - Hybrid/Flexible

ScreenedHybrid
London
Posted 3 days ago
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About the role

Applicants should be a commutable distance to London as Location: London 2 days per week, hybrid Act as an expert in the clients's data, including how it is structured, interpreted, manipulated and quality assured to support remediation activity. Produce and undertake data-related activities, including data extracts, to support delivery of the remediation programme. Produce analysis and reporting that provides stakeholders with clear, accurate insight and information relating to remediation activities. Remediation data activities Develop and maintain the data, code and processes that support remediation, including optimisation, documentation and quality assurance of the existing code base. Maintain expert knowledge of relevant data structures, content, capabilities, limitations and known quality issues. Interrogate and interpret remediation and wider data in the clients's analytical data repositories using appropriate tools, analytical techniques and quality controls. Explain analysis clearly to stakeholders with varying levels of data literacy, including non-technical audiences.Understand how the remediation population is created, including the data features, controls and testing used to reduce delivery and data quality risk.Undertake regular data-related processes at the required frequency, applying appropriate controls and following established, documented procedures. Validate and assure work undertaken by other members of the teamRemediation data development Identify and recommend changes or enhancements that improve efficiency, control, quality or repeatability of remediation data processes. Translate remediation programme needs into clear specifications for data, process and reporting enhancements. Test new data items as they are added, confirming they meet requirements and raising issues through the appropriate route. Raise, track and support resolution of data issues, ensuring impacts and actions are clearly recorded. Support other team members when required, sharing knowledge and helping to maintain delivery resilience. Take ownership of ongoing development, maintaining expertise in relevant data sources, tools and operational processes.For a copy of our privacy policy please visit our website

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