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- Tasks: Analyse data and create insightful reports to drive decision-making.
- Company: A leading housing organisation in Luton focused on data-driven growth.
- Benefits: Great career growth, training opportunities, and a supportive team environment.
- Why this job: Make a real impact by ensuring data accuracy and supporting key stakeholders.
- Qualifications: Strong analytical skills with expertise in Excel, SQL, and Power BI.
The predicted salary is between 30000 - 42000 £ per year.
A housing organization in Luton is seeking a Data Analyst to support data-driven decision-making. The role involves data manipulation, reporting, and working closely with internal teams. The ideal candidate will have strong analytical skills and expertise in tools such as Excel, SQL, and Power BI. This is a crucial role that entails training colleagues and ensuring data accuracy for key stakeholders, offering excellent growth opportunities within the organization.
Data Insight Analyst - Power BI & Growth in Luton employer: The Housing Network
Contact Detail:
The Housing Network Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Insight Analyst - Power BI & Growth in Luton
✨Tip Number 1
Network like a pro! Reach out to current employees at the housing organisation on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data manipulation and reporting projects, especially using Power BI. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your SQL and Excel skills with some online exercises. Being sharp on these tools will boost our confidence when discussing technical aspects in interviews.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CVs and cover letters to match the job description perfectly.
We think you need these skills to ace Data Insight Analyst - Power BI & Growth in Luton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytical skills and experience with tools like Excel, SQL, and Power BI. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data-driven decision-making and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Your Training Skills: Since this role involves training colleagues, mention any experience you have in teaching or mentoring others. We’re looking for someone who can communicate complex data insights clearly, so highlight those skills!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at The Housing Network
✨Know Your Tools Inside Out
Make sure you’re well-versed in Excel, SQL, and Power BI. Brush up on your skills and be ready to discuss specific projects where you've used these tools. Being able to demonstrate your expertise will show that you're the right fit for the role.
✨Understand the Organisation's Needs
Research the housing organisation in Luton and understand their mission and values. Think about how data-driven decision-making can impact their operations. This knowledge will help you tailor your answers and show that you’re genuinely interested in contributing to their goals.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems using data. Prepare examples from your past experiences where you manipulated data or created reports that led to actionable insights. This will highlight your analytical skills and ability to work collaboratively with teams.
✨Showcase Your Training Skills
Since the role involves training colleagues, be ready to discuss any experience you have in teaching or mentoring others. Share specific examples of how you’ve helped others understand complex data concepts, as this will demonstrate your communication skills and leadership potential.
