Senior Insights & Data Analyst

hays-gcj-v4-pd-online
Birmingham
8 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Your newpany

Working with apany which is on a mission to grow sustainably, doubling their output to 400+ homes per year by 2030, without losing the quality, personal touch or people-first culture that define them.They see data and business intelligence as critical enablers of that ambition.
You'll be joining at an exciting time, with the opportunity to shape the way insights are used across the business and help them make smarter decisions every day. This rolebines analytical expertise with business collaboration, ensuring data insights drive realmercial oues and operational improvements across our construction, sales, and operational processes.

Your new role

This organisation is looking for a technically hands-on, business-minded Senior Insights and Data Analyst who thrives on turningplex data into clear, actionable insights that drive performance, profitability, and strategic growth.You'll collaborate across all departments to help embed a data-informed culture across our business.
This is not just a reporting role, it's about seeing the bigger picture, connecting the dots, and helping the business make smarter, faster decisions.You'll work closely with the Finance Director and Business Change Manager to deliver reporting, analysis and decision support that helps them improve their business performance and support their long-term ambition to double output by 2030.As they mature their data capability, this role will also play a critical part in understanding business requirements, facilitating stakeholder engagement, and ensuring their data and insights directly translate into business action and operational improvements.
Provide insights that drive performance and decisionsBuild clear dashboards using Power BI, SQL, and ExcelAnalyse trends and risks through data storytellingIdentify issues and opportunities with stakeholder inputTranslate business needs into data-driven insightsLead effective workshops and solve problems collaborativelyDeliver clear reports and presentations to senior and external stakeholdersBridgemunication between technical teams and business users

What you'll need to succeed

Degree qualified in a relevant field ( Maths, Economics, Data Science, Business Analytics, Business Studies) Proven senior level experience in a business intelligence, data analysis, or business analysis role with strong Power BI, Excel and SQL capabilities Strong analytical and critical thinking skills with the ability to "get to the root" of business problems Strong data manipulation and visualisation skills Excellent written and verbalmunication and able to presentplex findings simply and clearly Strong understanding of business processes and performance drivers Experience with stakeholder management and requirements gathering Experience creating intuitive dashboards and visual outputs in Power BI to engage a range of audiences Understanding of business case development and cost-benefit analysis Knowledge of project management methodologies and UAT coordination Understanding of CRM or ERP data structures-Coins ERP is a bonus

Desirable SkillsKnowledge of housing, construction or property sectorsExperience with process mapping tools such as VisioExperience with other BI tools (Tableau, Qlik, etc.)Knowledge of statistical analysis and A/B testing principlesUnderstanding of financial analysis, budgeting, and forecastingExperience working with finance teams and financial reportingKnowledge of dataernance principles

What you'll get in return

2 weeks Christmas shut down

Annual Bonus

24 days annual leave

Buy and sell holidays

Medi-Cash

Private Healthcare

Pension scheme

Plus other benefits

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

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

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.

🍪 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.