Business Intelligence Analyst

whg
Walsall
3 days ago
Create job alert

Location: Walsall, West Midlands (minimum two days in the office depending on business needs)

Contract: Permanent, Full time, 37 hours per week

Closing Date: 12th February 2026

First Stage Interview Date: W/C 23rd February 2026

Second Stage Interview Date W/C 2nd March

We are pleased to offer an exciting opportunity for an experienced and technically strong Business Intelligence Analyst to join our team, delivering high-quality insight that supports performance, compliance and strategic decision-making across whg.

You will act as a strategic data partner to a defined area of the business, working closely with senior leaders and operational teams to understand priorities, influence decisions and translate complex data into clear, compelling insight. This role combines strong hands-on technical capability with excellent communication, stakeholder engagement and data storytelling skills.

If you are passionate about using data to drive improvement, embed a data-informed culture and make a meaningful impact, this is a fantastic opportunity to develop your expertise in a fast-paced and purpose-driven environment.

For further information please click on the following link to review the Job Description

  • Deliver end-to-end analysis, from requirements gathering through to SQL-based data extraction, modelling and insight delivery
  • Design, develop and maintain Power BI dashboards and reports using DAX and Power Query, ensuring accuracy, performance and alignment to agreed definitions
  • Oversee and continuously improve existing reports, streamlining where possible and maintaining strong data integrity
  • Develop and maintain reusable datasets, data models and metrics to support consistent reporting across teams
  • Provide timely, high-quality responses to ad-hoc reporting and insight requests
  • Support regulatory and external data submissions where required
  • Identify and resolve data quality issues, working collaboratively with system owners and colleagues
  • Promote best practice in the use of dashboards and reports, including training and enablement for colleagues
  • Contribute to improvements in reporting standards, processes and ways of working
  • Build and maintain Power Apps and Power Automate flows to support data capture, automation and reporting processes
  • Transform data into clear, actionable narratives for non-technical audiences
  • Support senior leaders with performance reviews, deep-dive analysis and insight requests
  • Ensure KPIs and performance measures are consistently defined, documented and reflected accurately across datasets and reports
  • Act as the primary Business Intelligence contact for a designated business area, building trusted relationships with senior and operational stakeholders
  • Confidently challenge assumptions and provide evidence-based, data-led recommendations
  • Support colleagues with varying levels of data literacy, helping to embed a data-informed culture
What’s in it for you?

In return, you will receive a competitive salary, 27 days annual leave (plus Christmas shut down), a defined benefit pension scheme, health cash plan, a range of shopping and leisure discounts.

We are output focused and flexible and believe in giving colleagues the right balance of autonomy and support to enable them to work to their full potential. Despite the high expectation for performance and delivery, we are committed to ensuring colleagues have a healthy work-life balance and able to work in agile ways which support them.

About us

At whg, we are dedicated to providing affordable homes across the Midlands and creating sustainable communities. We believe everyone has the right to a safe and secure home, which is the foundation for a successful life. Our values— Trustworthy, Respectful, Accountable, Collaborative and Excellent — guide our work and our commitment to creating an inclusive workplace where everyone can thrive.

We have been recognised as a top employer in the prestigious Sunday Times Best Places to Work 2025. The awards celebrate the top employers in the UK who are leading the way in employee pride, job satisfaction and wellbeing, as well as reward and recognition.

We are proud to be a Disability Confident Employer, committed to providing opportunities and support for all applicants, including those with disabilities.

Interested in joining our team?

Visit our website www.whg.uk.com and read Our 2030 Plan.

whg is committed to safeguarding and promoting the welfare of our customers and communities. Please note that for some roles, a Disclosure and Barring Service (DBS) check may be required as part of our pre-employment screening process.


#J-18808-Ljbffr

Related Jobs

View all jobs

Business Intelligence Analyst

Business Intelligence Analyst

Business Intelligence Analyst

Business Intelligence Analyst

Business Intelligence Analyst

Business Intelligence Analyst

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 Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

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.