Data & Reporting Manager

Impression Recruitment
Spacey Houses
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineering Manager

Reporting & Data Analyst

Data Analyst Level 4 Apprentice

Data Analyst Level 4 Apprentice

Senior Data Analyst

Senior Data Analyst

We are excited to be working with our new client who is a dynamic technology-based business that offer niche services to a range of clients We are excited to be working with our new client who is a dynamic technology-based business that offer niche services to a range of clients across a number of sectors. They are looking for a forward-thinking professional to work alongside their project team as the Data & Reporting Manager based in Harrogate. You will be in charge of developing various reporting systems, managing data and reports to enable you to present your findings to their clients. As the Data & Reporting Manager you will: Develop and manage various reporting systems. Gather and evaluate data to provide complete and accurate reports. Develop and implement procedures for effective data management. Promote a culture of continuous improvement through engagement with staff at all levels. Regularly monitor and evaluate information and data systems that could affect analytical results. Run assessment reports, analyse metrics, and report on data findings. Develop strategies for effective data analysis and reporting. What you'll need to succeed: Analytical, logical thinker with the ability to meet deadlines and maintain accuracy. Accomplished user of Advanced Microsoft Excel, Power Automate and Power BI – or equivalent. Ability to collate raw data into dashboards/graphs/charts for presenting purposes. Good communication skills Experience of working within a similar role is essential. Relevant graduates (Mathematics, Data Science etc) will be considered. If you are a good problem solver with an analytical mind who enjoys data management and reporting, then you could be the perfect fit for this Data & Reporting Manager vacancy You will be rewarded with a salary between £28,000 - £35,000 per annum, working Monday – Friday with hybrid working considered for the right candidate following a successful training period. APPLY TODAY Our Guarantee Thank you for your initial expression of interest in our available vacancy. If we have not contacted you within 5 working days of your application, please understand that the CV received, and the information provided does not meet the requirements of the current vacancy. However, we will consider all applications for any available opportunity, present or future, and proactively contact you should we deem there to be a suitable match. Here at Impression we are committed to supporting the principles of equal opportunities and prohibit discrimination/ harassment of any kind based on race, colour, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic.

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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.