At a Glance
- Tasks: Design and maintain Power BI reports, dashboards, and data pipelines to support business needs.
- Company: Join Keepmoat Homes, a top 10 UK housebuilder with a focus on quality and community.
- Benefits: Agile/hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture with a commitment to data quality and innovation.
- Why this job: Make a real impact by transforming data into actionable insights in a dynamic environment.
- Qualifications: 2-3+ years in Business Intelligence, strong Power BI skills, and SQL experience required.
The predicted salary is between 40000 - 50000 £ per year.
Keepmoat Homes is a fast growing top 10 UK housebuilder. We design and build quality homes and create places where people want to live.
We have a fantastic opportunity for a Business Intelligence (BI) Developer to join us, based from our Head Office in Doncaster with agile/hybrid working. The successful candidate will work closely with the BI Manager to deliver and maintain end-to-end business intelligence solutions for Keepmoat.
Accountabilities:
- Design, build and maintain Power BI reports and dashboards aligned to business needs and best-practice UX/data visualisation.
- Develop and maintain data warehouse/lakehouse assets and ETL/ELT pipelines, ensuring robust, scalable and well-documented data ingestion.
- Partner with stakeholders to shape requirements, define KPIs and acceptance criteria, and translate business needs into technical specifications and deliverable BI products.
- Maintain and optimise BI solutions (model performance, refresh reliability, capacity, accessibility), monitoring usage and continuously improving user experience and adoption.
- Present results to stakeholders using clear data storytelling, articulating trends, insights, assumptions and limitations to drive action.
- Create and maintain technical documentation (data definitions, lineage, model design, refresh/runbooks) to support supportability and knowledge sharing.
- Champion data quality, governance and security (including access controls and row-level security), promoting trusted data and consistent KPI definitions.
- Recognise and adopt best practices in semantic modelling, testing and release management (e.g., Azure DevOps), and actively develop knowledge of responsible AI features (e.g., Copilot-assisted development, natural-language Q&A and AI-enabled insights) in line with organisational policies.
Skills, knowledge & experience
We are looking for someone who fits with our core values here at Keepmoat and is extremely passionate with finding and executing solutions to support a wide variety of stakeholders. The ideal candidate will have 2-3+ years of proven professional experience in Business Intelligence/Analytics (Power BI). Strong Power BI experience, including semantic modelling, DAX, Power Query (M), and paginated reporting (SSRS/Power BI). In addition to having experience with the Microsoft BI stack, they will also have worked with relational databases and SQL experience alongside experience working with ETL and/or data integration tools. Experience working in an agile environment (preferably with Azure DevOps) is also essential. Experience within the housebuilding industry, as well as the COINS ERP system and python, would be desirable.
Education & qualifications
Essential: Degree qualified or equivalent professional experience
Desirable: Data engineering, data science or AI-related qualifications and/or relevant Microsoft certifications (e.g., Power BI/Fabric); Microsoft PL-300 certification or higher
Business Intelligence Developer employer: Keepmoat
Keepmoat Homes is an exceptional employer, offering a dynamic work environment in Doncaster that fosters innovation and collaboration. With a strong commitment to employee growth, we provide opportunities for professional development and the chance to work on impactful projects that shape communities. Our agile/hybrid working model promotes a healthy work-life balance, while our focus on data quality and governance ensures that you will be part of a team that values excellence and integrity.
StudySmarter Expert Advice🤫
We think this is how you could land Business Intelligence Developer
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Keepmoat!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Business Intelligence Developer
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Keepmoat, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Keepmoat
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Keepmoat’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
