Data Production & Analysis Manager
Role details
Job location
Tech stack
Job description
Data Production & Processing (core of the role)
- Own and operate large-scale data pipelines handling tens of millions of records.
- Validate, cleanse, de-duplicate, transform and load raw datasets from multiple sources and formats.
- Ensure daily, weekly, monthly and biannual data refreshes run flawlessly.
- Maintain and enhance a proprietary data processing system ("the Hub"), with growing opportunities to modernise or redevelop it.
Data Quality, Analysis & Reporting
- Perform analytical comparisons across large datasets to assess quality, identify discrepancies and generate scoring outputs.
- Build derived/third-party datasets for benchmarking and analytical validation.
- Produce clear, meaningful insights for internal teams and selected clients.
- Summarise results and contribute to reports and presentations for stakeholder use.
Technical Leadership & Modernisation
- Contribute to ongoing cloud migration efforts across AWS and Azure hybrid environments.
- Identify opportunities to automate repeatable processes and implement best-practice data governance.
- Support future system transformation initiatives (optimal candidate brings development experience or appetite to learn).
Client Interaction (light but important)
- Discuss data methodologies, results and recommendations with selected clients (with support from account managers).
- Provide structured updates and ensure transparent communication on deliverables.
Collaboration
- Work closely with the Head of Privacy, Research Manager and Account Manager.
- Liaise with internal engineering or product teams as part of system evolution projects.
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