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- Tasks: Create impactful Power BI dashboards and manage data processes.
- Company: Established retail business in Greater London with a collaborative culture.
- Benefits: Salary up to £55,000 and opportunities for professional growth.
- Why this job: Join a dynamic team and make data-driven decisions that matter.
- Qualifications: Strong skills in Power BI, SQL, DAX, and handling imperfect data.
- Other info: Thriving environment for those passionate about finance and collaboration.
The predicted salary is between 33000 - 77000 £ per year.
A well-established retail business in Greater London is seeking a Power BI Data Analyst. The successful candidate will manage existing processes and data responsibilities while building efficient Power BI reports from scratch. This hands-on role requires strong skills in Power BI, SQL, and DAX, along with the ability to work with imperfect data. The company offers a salary up to £55,000 and encourages applicants who thrive in collaborative finance and commercial environments.
Power BI Data Analyst: Build Impactful Dashboards employer: Systems Accountants
Contact Detail:
Systems Accountants Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Power BI Data Analyst: Build Impactful Dashboards
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work with Power BI or in retail. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio of your best Power BI dashboards and reports. When you get the chance to chat with potential employers, share your work to demonstrate your expertise and creativity.
✨Tip Number 3
Prepare for the interview by brushing up on SQL and DAX. Be ready to discuss how you've tackled challenges with imperfect data in the past. We want to see how you think on your feet!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and eager to join our team.
We think you need these skills to ace Power BI Data Analyst: Build Impactful Dashboards
Some tips for your application 🫡
Show Off Your Power BI Skills: Make sure to highlight your experience with Power BI in your application. We want to see how you've built impactful dashboards before, so share specific examples that showcase your skills!
SQL and DAX are Key: Don’t forget to mention your SQL and DAX expertise! We’re looking for someone who can handle data like a pro, so include any relevant projects or tasks where you’ve used these skills effectively.
Embrace Imperfect Data: Since this role involves working with imperfect data, it’s a good idea to mention any experiences you’ve had dealing with data challenges. We appreciate candidates who can think on their feet and find solutions!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at Systems Accountants
✨Know Your Power BI Inside Out
Make sure you’re well-versed in Power BI, SQL, and DAX. Brush up on your skills by creating sample dashboards or reports that showcase your ability to work with imperfect data. This will not only help you answer technical questions but also demonstrate your hands-on experience.
✨Understand the Business Context
Research the retail business and its data needs. Familiarise yourself with common metrics and KPIs in the retail sector. This knowledge will allow you to tailor your answers and show how you can add value to their existing processes.
✨Prepare for Scenario-Based Questions
Expect questions about how you would handle specific data challenges. Think of examples from your past experiences where you successfully built reports or solved data issues. Be ready to explain your thought process and the impact of your solutions.
✨Showcase Your Collaborative Spirit
Since the role involves working in a collaborative environment, be prepared to discuss how you’ve worked with teams in the past. Highlight any experiences where you’ve contributed to group projects or helped colleagues understand data insights, as this will resonate well with the interviewers.
