Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and enhance Power BI solutions for insightful business intelligence.
- Company: Join a leading organisation in the industrial and manufacturing sector.
- Benefits: Competitive salary, pension scheme, and career development opportunities.
- Why this job: Make a real impact by driving data-driven decision-making with cutting-edge analytics.
- Qualifications: Expertise in Power BI, SQL, and strong analytical skills required.
- Other info: Dynamic work environment with opportunities for professional growth.
The predicted salary is between 60000 - 65000 £ per year.
This role leverages Power BI to deliver insightful business intelligence solutions within the industrial and manufacturing industry. The successful candidate will develop, implement, and enhance analytics supporting strategic business decision‑making.
Responsibilities
- Develop and maintain business intelligence solutions using Power BI.
- Collaborate with teams to gather and analyse business requirements for analytics and reporting.
- Work closely with FP&A teams to contribute to budgeting, forecasting, and scenario modelling by providing data‑driven inputs and tools, building models that reflect business drivers and trends to improve forecast accuracy and agility in planning cycles.
- Create and optimise dashboards and visualisations to support decision‑making processes.
- Ensure data accuracy and integrity across all reporting tools and systems.
- Provide technical support and training to end‑users on business intelligence tools.
- Identify opportunities to improve data processes and implement solutions.
- Integrate various data sources to provide comprehensive insights.
- Apply ETL techniques (Extract, Transform, Load) for cleaning and consolidating data from different sources using SQL and other tools.
- Maintain documentation for all analytics tools and processes.
Qualifications
- Expert user of Power BI.
- Proficient in SQL, DAX, and database querying for efficient financial data structuring.
- Strong analytical and problem‑solving skills.
- Experience in the industrial/manufacturing industry is preferred.
- Knowledge of data integration and management techniques.
- Ability to create clear and effective data visualisations.
- Excellent communication skills to engage stakeholders.
- Proactive approach to identifying and implementing improvements.
- Degree in a relevant field such as Computer Science, Data Analytics, or similar.
Compensation & Benefits
- Competitive salary ranging from GBP 60,000 to GBP 65,000.
- Comprehensive pension scheme.
- Permanent role within a large organisation in Milton Keynes.
- Opportunities for career development and growth.
- Professional work environment in the industrial/manufacturing industry.
Seniority level: Mid‑Senior
Employment type: Full‑time
Location: Milton Keynes, England, United Kingdom
Business Intelligence Developer - Power BI Specialist in Milton Keynes employer: Michael Page
Contact Detail:
Michael Page Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Intelligence Developer - Power BI Specialist in Milton Keynes
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI projects and analytics work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to business intelligence and Power BI. Be ready to discuss your past experiences and how they relate to the role you're applying for.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Business Intelligence Developer - Power BI Specialist in Milton Keynes
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Business Intelligence Developer. Highlight your Power BI expertise and any relevant experience in the industrial or manufacturing sectors. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about business intelligence and how you can contribute to our team. Don’t forget to mention specific projects or achievements that showcase your analytical skills.
Showcase Your Technical Skills: Since this role requires proficiency in SQL, DAX, and ETL techniques, make sure to include examples of how you've used these tools in past projects. We love seeing real-world applications of your skills, so don’t hold back!
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 our team!
How to prepare for a job interview at Michael Page
✨Know Your Power BI Inside Out
Make sure you’re well-versed in Power BI features and functionalities. Brush up on your DAX skills and be ready to discuss how you've used Power BI to create impactful dashboards and reports in the past.
✨Understand the Business Context
Familiarise yourself with the industrial and manufacturing sectors. Be prepared to discuss how your analytical skills can support budgeting, forecasting, and scenario modelling. Show that you understand the business drivers and trends relevant to the role.
✨Prepare for Technical Questions
Expect questions about SQL and ETL processes. Be ready to explain how you’ve integrated various data sources and ensured data accuracy. Practising common technical interview questions can help you feel more confident.
✨Showcase Your Communication Skills
Since this role involves collaborating with teams and engaging stakeholders, demonstrate your ability to communicate complex data insights clearly. Prepare examples of how you've trained end-users or presented findings to non-technical audiences.