Data Manager

Birmingham
9 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst Apprenticeship

Senior Data Engineer — Azure Data Pipelines & BI (Hybrid)

Data Engineer

Data Analyst/Consultant

Senior Data Engineer - Azure Data - Burton-on-Trent - Hybrid

HR Systems and Data Analyst

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.

Jobs

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Education Jobs

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Jobs

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

🍪 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.