Remediation Data Analyst

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.

• 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.
• Provide analytical support to the remediation programme, producing insight and evidence to inform decisions and delivery activity.
• Explain analysis clearly to stakeholders with varying levels of data literacy, including non-technical audiences.

• Undertake updates to the remediation population as required, ensuring changes are controlled, tested and documented.
• 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 team

• 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.
• Document processes as they are amended, enhanced or newly developed.

• 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.