At a Glance
- Tasks: Analyse data to provide insights that optimise operations and enhance profitability.
- Company: Join Persimmon Homes, a leading UK housebuilder with a commitment to quality.
- Benefits: Enjoy hybrid working, bonuses, life cover, and access to employee benefits.
- Why this job: Make a real impact in the housing industry while developing your career.
- Qualifications: Degree in Business Analytics or related field; strong analytical and communication skills.
- Other info: Dynamic role with opportunities for growth and collaboration across departments.
The predicted salary is between 36000 - 60000 £ per year.
Job Title: Business Intelligence Analyst – Commercial
Location: North West or Midlands – Hybrid Working
Looking for a career where your ambition meets real opportunity? Join Persimmon Homes as a Business Intelligence Analyst and step into a role where your success is celebrated, your growth supported, and your work truly matters.
Why Persimmon Homes?
We’re one of the UK’s largest and most established housebuilders — FTSE 100 listed, with 29 regional offices and thousands of quality homes built every year.
At Persimmon, we don’t just build homes — we build careers. When you join us as a Business Intelligence Analyst, you’ll benefit from:
- Bonus
- Hybrid Working
- 5* housebuilder – Be part of a company that consistently delivers quality homes and outstanding customer satisfaction
- Life Cover & Contributory Pension
- Employee Benefits Platform – giving you access to high-street discounts, wellbeing support, and more
- Committed to diversity, inclusion, and empowering your development
What is the role?
We are looking for an enthusiastic and self-motivated individual with great technical and people skills. You will be working across the Persimmon’s Commercial data landscape to help deliver our data via an effective enterprise data model through to providing the business with insightful dashboards, visualisations and reports.
What you’ll do as a Business Intelligence Analyst
- Gather and compile data from various internal and external sources related to Subcontractor and Supplier spend, material quantities and forecasts, budgets, market trends and performance.
- Ensure data accuracy and integrity by validating and cleansing datasets.
- Design and maintain structured databases to support the efficient storage and retrieval of information.
- Analyse datasets to identify patterns, trends, and opportunities related to housebuilding processes, material procurement, and vendor performance.
- Develop predictive models to forecast materials, project costs, and market demands.
- Provide actionable insights to assist the commercial team in optimising operations and enhancing profitability.
- Prepare comprehensive reports and dashboards using business intelligence tools (e.g., Tableau, Power BI) to communicate findings effectively.
- Present insights to stakeholders, including senior management, ensuring clarity and relevance to the commercial objectives.
- Create visualisations that simplify complex data and highlight key metrics for strategic decision-making.
- Work closely with the commercial team to understand their data needs and objectives.
- Collaborate with departments such as Sales, Marketing, Construction and Technical to align strategic goals.
- Monitor industry trends and advancements in business intelligence tools and methodologies to ensure state-of-the-art practices.
- Identify opportunities to automate processes, improve data accessibility, and enhance reporting frameworks.
- Support the development and implementation of key performance indicators (KPIs) to track organisational success.
- Opportunity to develop through internal training programmes or approved external course.
What experience do I need?
- Bachelor’s degree in Business Analytics, Data Science, Statistics, or a related field.
- Knowledge of relational database concepts.
- Excellent communication skills, at all levels and experience with technical and non-technical audiences.
- Experience in understanding, gathering, and analysing business requirements, with an analytical mind-set and a problem-solving approach.
- Knowledge of modelling with data visualisation solutions (e.g. Microsoft Power BI).
- Analytical troubleshooting and problem-solving skills.
- Strong understanding of commercial operations and market dynamics in the housing industry preferable.
- Exceptional problem-solving and critical-thinking abilities.
- Excellent communication skills, with the ability to present data-driven insights to technical and non-technical audiences.
- Strong organisational skills and attention to detail.
- Proactive approach to identifying opportunities for business growth and operational improvements.
- Knowledge of Enterprise Resource Planning (ERP) (preferably COINS, Microsoft Dynamics, SAP, Oracle) and Customer Relationship Management (CRM) systems is preferred but not mandatory.
- Experience working in the House Building or Construction industries is an advantage.
- Proven experience in a business intelligence role, preferably within the construction or housebuilding sector is preferred but not mandatory
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Business Intelligence Analyst employer: Persimmon plc.
Contact Detail:
Persimmon plc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Intelligence Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their values and how your skills as a Business Intelligence Analyst can contribute to their success. Tailor your responses to show you're a perfect fit!
✨Tip Number 3
Showcase your skills with a portfolio! Create a few sample dashboards or reports that demonstrate your analytical prowess. This will give you an edge and make you memorable during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Business Intelligence Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Business Intelligence Analyst role. Highlight relevant experience and skills that match the job description, especially your analytical abilities and familiarity with data visualisation tools like Power BI.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background makes you a perfect fit for Persimmon Homes. Don’t forget to mention your understanding of the housing industry!
Showcase Your Technical Skills: Since this role requires strong technical skills, be sure to include any relevant software or tools you've used in your previous roles. Mention your experience with databases and any predictive modelling you've done to impress us!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Persimmon plc.
✨Know Your Data Tools
Familiarise yourself with business intelligence tools like Tableau and Power BI before the interview. Be ready to discuss how you've used these tools in past roles, as well as any specific projects where you created dashboards or reports.
✨Understand the Company
Research Persimmon Homes and their approach to data in the housing industry. Knowing their recent projects or initiatives can help you tailor your answers and show that you're genuinely interested in contributing to their success.
✨Prepare for Technical Questions
Expect questions about relational databases and data analysis techniques. Brush up on your knowledge of data validation, cleansing, and predictive modelling, as these are key aspects of the role.
✨Showcase Your Communication Skills
Since you'll be presenting insights to both technical and non-technical audiences, practice explaining complex data concepts in simple terms. Use examples from your experience to demonstrate how you've effectively communicated findings in the past.