Business Intelligence & GIS Analyst

Metropolitan Thames Valley
London
10 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Science Consultant

Business Intelligence / Data Analyst

BI & Data Analyst - Power BI

Please note :- we do not currently offer visa sponsorship.

What’s in it for you?

Our benefits include:-

  • 28 days annual leave plus 8 bank holidays (pro rata for part time) per year
  • 2 volunteering days per year for things like helping out in local communities
  • An additional ‘Beliefs day’ once a year to have an extra a day off
  • Supported family friendly approach with extended parental leave
  • Enhanced pension with matched contributions of up to 9%
  • Option to buy or sell up to 5 days annual leave per year
  • Life assurance cover 3 x your salary
  • Cycle2work scheme
  • Hybrid Working - Dependent on job role and department
  • Health cash plan scheme for your everyday healthcare needs which you can add your family members too
  • Tenancy deposit – interest free loan to help with rental deposits and season Ticket loan
  • Access to extensive learning and training opportunities with Wisebox platform
  • Colleague virtual social platform with our workplace pages where you can keep up to date with the organisational activity and link in with colleagues
  • Career progression across the organisation with our mentoring/coaching programmes, apprenticeships and career planning support
  • Employee Assistance Programme- We are committed to the wellbeing of our colleagues and support this as an organisation

About us

We are committed to developing and implementing or maintaining sustainability initiatives to reduce environmental impact and promote sustainable practices within MTVH.

Learn more about our benefits and organisation by viewing our attached document

Our promise

Here at Metropolitan Thames Valley Housing (MTVH) we want to capture the value that difference brings and are committed to promoting equality, diversity and inclusion. We work collaboratively ‘Serving people better every day’ to educate, support and develop all of our diverse employees and the communities that we serve. We are also part of the disability confident employer scheme.

We want every employee and every customer to feel comfortable enough to be their true self and are working tirelessly in the background to create an environment that encourages our employees to challenge non-inclusive behaviours and to be mindful of their own and other’s wellbeing.

We provide a platform of Network groups for employees to share views, tell us what we’re doing well and recommend improvements. We want to create a real sense of community and a workforce who feel that their opinions are valued. Our Networks groups are:-

  • Gender
  • Ethnicity
  • LGBTQ+
  • Disability

Our core values of Dare, Care and Collaborate demonstrate that we are a people focused business, solving social issues by working together!

We reserve the right to close this vacancy early if a suitable candidate is found so we do encourage you to complete the application as soon as possible to avoid disappointment.

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.