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Job Title: Remediation Data Lead
Location: London, UK
Job Type: Full-time contract, 18 Months
Work Model: Hybrid (2 days/week)
Summary:
- Act as an expert in Client 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.
Key Responsibilities:
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 Client 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.
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Remediation population management
- 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.
Regular, repeatable processes and reporting
- 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
Remediation 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.
- Document processes as they are amended, enhanced or newly developed.
Cross team support
- Support other team members when required, sharing knowledge and helping to maintain delivery resilience.
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Development
- Take ownership of ongoing development, maintaining expertise in relevant data sources, tools and operational processes.
Essential qualifications:
- Degree-level qualification, or equivalent experience, in a numerate, analytical or statistical subject.
Essential skills and experience:
Business critical data deliverables
- Experience delivering data outputs that support business-critical, operational or remediation activities.
- Experience handling operational, case-level data with appropriate attention to accuracy, control and confidentiality.
Programming
- Working-level knowledge of R or Python and their respective ecosystems, including experience writing, developing and optimising code for complex programmes and scripts.
Data visualisation and analysis
- Working-level knowledge of business intelligence or data visualisation tools, such as Tableau or Power BI, and experience applying a range of visualisation techniques to communicate insight clearly.
Essential technical knowledge:
Excel
- Expert-level knowledge of Excel, including advanced formulas, data manipulation and quality checking techniques.
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Skills
Data Quality Assurance
R
Python
Tableau
Power BI
Advanced Excel
Data Analysis
Data Visualization
Remediation Data Management
Stakeholder Management
Data Extraction
Reporting
Process Documentation
Quality Control
Analytical Techniques
Location