National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Reporting Manager

Chesterfield
9 months ago
Applications closed

Related Jobs

View all jobs

Data Governance and Reporting Manager

Data Governance and Reporting Manager

Data Governance and Reporting Manager

Pension System Calculation and Data Analyst

Pension System Calculation and Data Analyst

Reporting Data Analyst - Eurocentral

Data Reporting Manager
Derbyshire
£40k-£50k + Bonus & Benefits
 
Cactus Search are delighted to be supporting a growing organisation as they look to recruit a Data Reporting Manager to join their Planning & Analytics function.
The Data Reporting Manager will be responsible for managing the production of key reports to make sure they are accurate and delivered on time.
You will manage a small team of Data Analysts and be responsible for leading and developing them to achieve their full potential.
 
Key Responsibilities…

Support and manage the wider operational reporting requirements for member data.
Manage a reporting catalogue to ensure all data reports are managed and stored correctly in order that they can be referenced and used for future reports
Working closely with the Head of Data, to support, collaborate and feed into data cleanse projects as a stakeholder as appropriate
Proactively identify, document and review opportunities for improvement
Monitor and coach the team to meet objectives 
What we need you to have…

Proven experience in data management and reporting
Experience of leading Data Analysts
Experience or enthusiasm to learn about a new industry
Strong stakeholder management skills
An understanding of how to get the best from data and turn it into commercial opportunities both inhouse and to end clients 
If you would like to learn more about this opportunity, please forward your CV via the apply button.
We look forward to hearing from you

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.