BI Data Analyst

Huws Gray
Nottingham
6 days ago
Create job alert

Join to apply for the BI Data Analyst role at Huws Gray


We are looking for a BI Data Analyst to join our Huws Gray Supply Chain Solutions team in Nottingham. This is an office‑based role, so you must be able to commute to Nottingham (NG16 2TA) five days a week.


If you’ve tackled a home‑improvement project or are in the trade, you’ve probably heard of us. We are the Huws Gray Group, made up of a number of brands, including Huws Gray, Hirebase, Civils & Lintels, The Timber Group, PDM, NDI and Anglia Tool Centre. Across the UK we support local communities with all their building material needs – and we couldn’t do that without the right people.


The Supply Chain Solutions team serves Public Sector and Local Authority customers, delivering building materials via Partnering Stores, Distribution Centres, Rapid Response Delivery Vehicles and Van Stock. We enable them to create and maintain their housing stock with our products where and when they need them.


Your responsibilities will include developing reports and troubleshooting data issues in an extremely fast‑paced environment. You should have a keen eye for detail and a solid understanding of data analysis tools and databases, including SQL & Tableau. You’ll need to deliver at pace and engage with stakeholders both inside and outside the organisation.


Key Responsibilities

  • Ongoing maintenance of the report schedule.
  • Running internal and customer manual reports in MS Excel.
  • Creating and developing regular data sets at various frequencies.
  • Managing master data, including creation, updates and deletion.
  • Troubleshooting the reporting database environment and reports.
  • Providing accurate data for customers and colleagues via SQL and other visualisation software (PowerBI, Tableau, etc).
  • Managing our current BI customer data solution, including extract refreshes, user license distribution and user access permissions.
  • Ensuring sales data is robust and reconciles back to customer accounts.
  • Developing in‑depth KPI information for customer review meetings.
  • Maintaining a close working relationship with sales and commercial teams.
  • Driving innovation and report improvements.
  • Ad‑hoc administrative responsibilities.

Skills and Experience

  • Experience with a reporting toolkit such as PowerBI, Tableau, etc.
  • A logical approach to problem solving.
  • Sound working knowledge of Microsoft Office products.
  • Calmness, confidence and perseverance in demanding situations.

Benefits

  • 23 days’ holiday, plus bank holidays (31 days per year).
  • Company bonus scheme, based on performance.
  • Contributory pension and life assurance.
  • Discounts on high‑street retailers, supermarkets, restaurants, gyms and cinemas.
  • Colleague discount across our group brands.
  • Attraction and travel discounts.
  • Training and development programmes to support your growth.

At Huws Gray, we believe a diverse and inclusive workforce makes us stronger, smarter and better at serving our customers. We’re proud to be an equal‑opportunity employer and are committed to creating a respectful and inclusive workplace, whether you’re based in a branch, on the road or in one of our offices. If you need any adjustments to support you through the application or interview process, please let us know.


Seniority level

  • Entry level

Employment type

  • Full‑time

Job function

  • Research, Analyst, and Information Technology
  • Wholesale Building Materials

Referrals increase your chances of interviewing at Huws Gray by 2×.


#J-18808-Ljbffr

Related Jobs

View all jobs

BI & Data Analyst

BI & Data Analyst - HR & Sustainability (Hybrid UK)

BI Data Analyst — Fast-Paced Supply Chain Insights

BI Data Analyst – Dashboards & Insights (Remote)

Senior Data Analyst - BI, Data Quality & Stakeholder Insights

Senior Data Analyst - BI, Data Quality & Stakeholder Insights

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.

Data Science Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.

How to Write a Data Science Job Ad That Attracts the Right People

Data science plays a critical role in how organisations across the UK make decisions, build products and gain competitive advantage. From forecasting and personalisation to risk modelling and experimentation, data scientists help translate data into insight and action. Yet many employers struggle to attract the right data science candidates. Job adverts often generate high volumes of applications, but few applicants have the mix of analytical skill, business understanding and communication ability the role actually requires. At the same time, experienced data scientists skip over adverts that feel vague, inflated or misaligned with real data science work. In most cases, the issue is not a lack of talent — it is the quality and clarity of the job advert. Data scientists are analytical, sceptical of hype and highly selective. A poorly written job ad signals unclear expectations and immature data practices. A well-written one signals credibility, focus and serious intent. This guide explains how to write a data science job ad that attracts the right people, improves applicant quality and positions your organisation as a strong data employer.

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

If you are applying for data science jobs in the UK, the maths can feel like a moving target. Job descriptions say “strong statistical knowledge” or “solid ML fundamentals” but they rarely tell you which topics you will actually use day to day. Here’s the truth: most UK data science roles do not require advanced pure maths. What they do require is confidence with a tight set of practical topics that come up repeatedly in modelling, experimentation, forecasting, evaluation, stakeholder comms & decision-making. This guide focuses on the only maths most data scientists keep using: Statistics for decision making (confidence intervals, hypothesis tests, power, uncertainty) Probability for real-world data (base rates, noise, sampling, Bayesian intuition) Linear algebra essentials (vectors, matrices, projections, PCA intuition) Calculus & gradients (enough to understand optimisation & backprop) Optimisation & model evaluation (loss functions, cross-validation, metrics, thresholds) You’ll also get a 6-week plan, portfolio projects & a resources section you can follow without getting pulled into unnecessary theory.