Data Manager

Birmingham
9 months ago
Applications closed

Related Jobs

View all jobs

Environmental Data Analyst — 12-Month Contract, Bristol (Hybrid)

Data Scientist

Data Engineer — Microsoft Fabric & Data Pipelines (Hybrid)

GIS Data Analyst

Data Engineer

Data Engineer

Data Manager

When registering to this job board you will be redirected to the online application form. Please ensure that this is completed in full in order that your application can be reviewed.

We are a registered charity and exist to stop the needless loss and devastation caused by accidents, as we strive for our vision of Life, free from serious accidental injury.

We are looking for a Data Manager to join RoSPA to support our journey to become increasingly data centric on an 18-month fixed-term contract.
This will be a pivotal role in a business as we embark on a route that will change all our current systems and processes. The responsibilities of the role will include formulating techniques to ensure the quality, adequacy, accuracy, and legitimacy of data, and overseeing the organisation, storage, development, use and reporting from data systems.

So, are you …?

  • Experienced in creating and enforcing data strategies and policies, and implementing procedures for secure and efficient handling of data?

  • Knowledgeable in data compliance and governance?

  • Proficient in evaluating the performance of data processes and systems, striving for continuous improvement?

  • Skilled in using BI tools and assisting with the production of reports?

  • Practiced in supporting internal customers in the use of our information systems and reporting tools, and explaining complex topics in a simple, straightforward way to non-technical users?

  • Adept at analysing data and explore it for insights, and creating dashboards and reports that effectively communicate insights to stakeholders?

  • An excellent communicator with a friendly and professional approach?

    Do you have …?

  • A BSc in Data Analytics, Data Science, Statistics or equivalent?

  • Proven working experience as a Data Manager, Business Data Analyst or similar role?

  • Experience of managing data in Microsoft Dynamics and cloud environments?

  • The ability to clearly convey findings, both written and orally, to non-technical stakeholders?

  • Great attention to detail and strong problem-solving skills, delivering solutions to business problems using a data-driven approach?

  • Technical expertise regarding data models, database design and segmentation techniques?

    If so, we can offer you:

  • An opportunity to gain valuable work experience with a leading name in the safety sector, enjoying an unrivalled reach and reputation.

  • The opportunity to join a supportive, friendly and committed team, and to contribute to a life-changing charitable mission.

  • A flexible hybrid working pattern, combining homeworking with office-based days.

  • A salary sacrifice pension scheme, Health Cash Plan, GP Line and 25 days’ leave (plus bank holidays and service days)

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.

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.

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.

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.