At a Glance
- Tasks: Manage data projects and develop insightful reports using Power BI.
- Company: Leading higher education provider in the UK with a focus on innovation.
- Benefits: Competitive salary, 25 days leave, flexible benefits, and holidays.
- Why this job: Join a dynamic team and make a real impact in higher education analytics.
- Qualifications: Strong background in statistical techniques and T-SQL proficiency required.
- Other info: Opportunity to build relationships with stakeholders and grow your career.
The predicted salary is between 40000 - 50000 £ per year.
A leading higher education provider in the UK seeks a Senior Analyst to join their Data and Business Intelligence team. The role involves managing data projects, developing reports using Power BI, and ensuring data integrity.
Candidates should have a strong background in statistical techniques, T-SQL proficiency, and experience in relationship building with stakeholders.
The position offers competitive salary, 25 days leave plus holidays, and a variety of flexible benefits.
Senior Data & Insight Analyst — Power BI, SQL, Analytics employer: GEDU CAREERS
Contact Detail:
GEDU CAREERS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data & Insight Analyst — Power BI, SQL, Analytics
✨Tip Number 1
Network like a pro! Reach out to current employees in the Data and Business Intelligence team on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your best Power BI reports and SQL projects. When you get that interview, having tangible examples will make you stand out from the crowd.
✨Tip Number 3
Be ready to discuss your approach to data integrity. Think about how you've tackled similar challenges in the past and be prepared to share those stories during interviews.
✨Tip Number 4
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 take that extra step!
We think you need these skills to ace Senior Data & Insight Analyst — Power BI, SQL, Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Power BI, SQL, and any relevant statistical techniques. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analytics and how your background makes you a perfect fit for our team. We love seeing personality in applications!
Showcase Your Stakeholder Skills: Since relationship building is key in this role, include examples of how you've successfully collaborated with stakeholders in the past. We want to know how you can bring people together through data!
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at GEDU CAREERS
✨Know Your Data Tools
Make sure you brush up on your Power BI and SQL skills before the interview. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Showcase Your Analytical Skills
Prepare to talk about statistical techniques you've applied in previous roles. Think of examples where your insights led to significant decisions or improvements, and be ready to explain your thought process.
✨Build Rapport with Stakeholders
Since relationship building is key for this role, come prepared with examples of how you've successfully collaborated with stakeholders in the past. Highlight your communication skills and how you ensure everyone is on the same page.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about their current data projects or how they measure success in the Data and Business Intelligence team.