At a Glance
- Tasks: Analyse raw data to create actionable insights and develop data models.
- Company: Michael Page, a leading recruitment agency with a global presence.
- Benefits: Hybrid work model, career development opportunities, and a supportive team environment.
- Other info: Flexible working with two days in the office each week.
- Why this job: Join an international team and make a real impact with your data skills.
- Qualifications: Strong SQL and BI tool skills, especially in Power BI.
The predicted salary is between 30000 - 40000 £ per year.
Michael Page is seeking a Data Analyst in Leeds who will focus on analyzing raw data to create actionable insights, support reporting needs, and develop data models. The ideal candidate should have strong SQL and BI tool skills, particularly in Power BI. The role offers a hybrid work model, allowing for two days in the office each week and significant opportunities for career development in an international environment.
Hybrid Data Analyst – Insights & Dashboards employer: Michael Page
Contact Detail:
Michael Page Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Analyst – Insights & Dashboards
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Michael Page on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your SQL and Power BI projects. We want to see how you turn raw data into actionable insights, so make it shine!
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by brushing up on common data analysis questions. We can even do mock interviews together to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Hybrid Data Analyst – Insights & Dashboards
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your SQL and Power BI skills in your application. We want to see how you can turn raw data into actionable insights, so don’t hold back on showcasing your experience with these tools!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We love seeing candidates who take the time to align their experiences with what we’re looking for, especially in terms of reporting and data modelling.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your key achievements and skills stand out without any fluff!
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 this exciting opportunity in our hybrid work environment!
How to prepare for a job interview at Michael Page
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with SQL queries and how you've used them to extract insights from data. Practising common SQL problems can really help you stand out.
✨Show Off Your Power BI Skills
Since this role requires strong Power BI skills, be ready to showcase any dashboards or reports you've created. Bring examples of your work to the interview and be prepared to explain your thought process behind the design and functionality.
✨Understand the Business Context
Research Michael Page and their business model. Understanding how they use data to drive decisions will help you tailor your answers and demonstrate that you're not just a tech whiz but also someone who can provide actionable insights that align with their goals.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical data challenges. Think about how you would approach analysing raw data to create insights. Practising these scenarios can help you articulate your problem-solving process clearly during the interview.