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., 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..., Job Description: Customer Relations Manager Location: Slough with hybrid working Reports to: Aftersales Director About the Role: Jameel Motors, in partnership with Chinese automaker GAC, is proud to introduce the AION range of electric vehicles to the UK market.This...

• 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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