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- Tasks: Develop and maintain business intelligence solutions using Power BI and collaborate on analytics.
- Company: Join a high-growth international company in the industrial/manufacturing sector.
- Benefits: Competitive salary, comprehensive pension scheme, and career development opportunities.
- Why this job: Make an impact with data-driven insights in a professional environment.
- Qualifications: Expertise in Power BI, SQL, and strong analytical skills required.
- Other info: Permanent role in Milton Keynes with excellent growth potential.
The predicted salary is between 60000 - 65000 £ per year.
Opportunity to join a high growth International company and lead on Financial Analytics Business Intelligence Development.
About Our Client:
The employer is a well-established large organisation within the industrial/manufacturing industry. They are committed to innovation and excellence, offering a professional environment that fosters growth and development.
Job Description:
- 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.
- 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.
- Maintain documentation for all analytics tools and processes.
The Successful Applicant:
- Expert user of Power BI.
- Ability to query databases and structure financial data efficiently using SQL, DAX and Databases.
- Knowledge of extract, Transform, Load (ETL) techniques for cleaning and consolidating data from different sources.
- 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 with stakeholders.
- A proactive approach to identifying and implementing improvements.
- A degree in a relevant field such as Computer Science, Data Analytics, or similar.
What's on Offer:
- 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.
If you are passionate about analytics and want to make an impact in a large organisation, this role in Milton Keynes could be the perfect opportunity for you. Apply now to take the next step in your career as a Senior Business Intelligence Analyst / Developer.
Business Intelligence Analyst in Milton Keynes employer: Page Personnel
Contact Detail:
Page Personnel Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Intelligence Analyst in Milton Keynes
✨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 refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI dashboards and any relevant projects. 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 analytics. Be ready to discuss your experience with SQL, ETL processes, and how you've used data to drive decisions.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Business Intelligence Analyst in Milton Keynes
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with Power BI, SQL, and any relevant projects that showcase your analytical skills. We want to see how you can bring value to our team!
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 your background fits with our company’s goals. Let us know what excites you about this role!
Showcase Your Skills: Don’t just list your skills; demonstrate them! If you’ve worked on ETL processes or created dashboards, include specific examples. We love seeing how you’ve used your skills to solve real problems.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. We can’t wait to hear from you!
How to prepare for a job interview at Page Personnel
✨Know Your Tools Inside Out
Make sure you’re well-versed in Power BI, SQL, and DAX. Brush up on your ETL techniques too! Being able to discuss how you've used these tools in past projects will show that you're not just familiar with them, but that you can leverage them effectively.
✨Showcase Your Analytical Skills
Prepare examples of how you've tackled complex data problems in the past. Think about specific scenarios where your analytical skills made a difference, especially in budgeting or forecasting. This will demonstrate your problem-solving abilities and your understanding of business drivers.
✨Communicate Clearly
Since you'll be engaging with various stakeholders, practice explaining technical concepts in simple terms. Prepare to discuss how you’ve created dashboards or visualisations that helped decision-making processes. Clear communication is key in this role!
✨Be Proactive About Improvements
Think of instances where you identified opportunities for process improvements in your previous roles. Be ready to share these examples during the interview, as it shows your proactive approach and willingness to enhance data processes.
