Data Production & Analysis Manager; Remote

Position: Data Production & Analysis Manager (Remote Based)

Data Production & Analysis Manager (Remote – UK Based)

💼 Full-time | Competitive salary : up to £80,000 DOE

🏡 100% Remote (UK-based only)

🌱 Growing data & technology organisation

Contract type :
Permanent

We are recruiting a Data Production & Analysis Manager for a rapidly expanding data solutions provider working with some of the largest national enterprises in the UK. The company has recently undergone significant growth through multiple acquisitions and offers a stable, long-term environment where individuals can take real ownership of complex, high-impact data operations.

About 60% of the job is hands‑on data processing, 25% analysis, and a smaller share of client‑facing work.

This is a key technical role within a small, highly specialist team, responsible for the end‑to‑end production, transformation and analysis of very large datasets used across critical national services. The ideal candidate is someone who thrives on solving complex data processing challenges, ensuring data integrity at scale, and improving existing systems with modern tooling and engineering practices.

This is not an IT support role — it is a position for someone deeply experienced in data engineering, processing, quality management, and analytics.

⭐ Why this role is exciting

• You’ll work with some of the largest and most complex datasets in the UK, including national‑scale address and change‑of‑address datasets.
• You’ll take true ownership of production workflows and data pipelines that run every day, 24/7, supporting long‑standing commercial partnerships.
• You’ll become the expert on a mission‑critical proprietary platform, with the freedom to help modernise and rebuild components using more current technologies.
• You’ll join a business that has recently doubled in size through acquisitions, creating new opportunities for progression in the medium term.
• High autonomy, family‑like culture, and direct collaboration with leadership teams.
• Strong job security: this work underpins long‑term, stable client relationships.

🎯 Key Responsibilities 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.

🧠 Technical Skills Required Essential

• 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…