Data Production & Analysis Manager

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., Hello, We are Recognise Bank; a modern business bank built to support the UK's SMEs with tailored lending and savings solutions. Founded in 2017 by experienced business owners, we set out to challenge traditional banking by offering more flexibility, understanding, and..., Commercial Strategy Manager Hemel Hempstead (Hybrid - 3 days a week in the office / 2 days remote) Competitive annual salary + bonus and benefits About the role Come and join the UK's best holiday operator as a Commercial Strategy Manager! We're looking for a...

• Strong experience with SQL Server and large-scale relational databases.
• Proficiency in handling massive datasets (mapping, deduplication, extraction, transformation).
• Deep understanding of raw data structures: delimited files, fixed width, ASCII, hexadecimal, etc.
• Strong Excel skills (lookups, pivot tables, advanced functions).
• Experience working with consumer or business datasets in a data-broker, analytics or data-processing environment.
• Ability to explain technical work to non-technical stakeholders.

Desirable

• Experience with MySQL, Access, or Server 2019.
• Familiarity with SFTP / FTPS / HTTPS and secure transfer protocols.
• Exposure to AWS or Azure cloud environments.
• Knowledge of GDPR / ISO 27001 (training will be provided if required).
• Some development or scripting experience (extremely valuable for modernisation projects)., * Minimum 4-5 years working with large structured datasets, ideally in a data production or data engineering capacity.
• At least 2 years in an environment requiring client-facing communication.
• Comfortable taking ownership of critical production systems.
• Curious, analytical mindset with a desire to improve existing processes.
• Proactive communicator that keep all the stakeholders informed.
• Thrives in a small team with high accountability and autonomy.
• UK-based and eligible to work remotely full-time.

• Up to £80,000 fixed salary DOE
• 100% remote working within the UK.
• Stable, long-term client programmes offering strong job security.
• Company culture described as supportive, close-knit, and people-focused despite rapid growth.

Recruitment Process

• 2-stage interview process

1. Initial 30-minute discussion with leadership
2. Second, more technical conversation (no tests or presentations required)

• Interviews conducted by senior team members including the Head of Privacy and current job-holder.

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