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- Tasks: Analyse data and create metrics using Power BI to boost efficiency.
- Company: Dynamic recruitment agency focused on data-driven solutions.
- Benefits: 12-month contract with potential for growth and skill development.
- Other info: Fast-paced environment perfect for developing your analytical skills.
- Why this job: Join a team tackling real data challenges and make a difference.
- Qualifications: Strong communication skills and familiarity with SAP and Microsoft 365.
The predicted salary is between 30000 - 40000 £ per year.
A recruitment agency is seeking a Business Support Data Analyst for an initial 12-month contract in the Greater Lincolnshire area. The successful candidate will provide data analysis and administration support, focusing on enhancing efficiency.
Key responsibilities include:
- Creating metrics in Power BI
- Collaborating on data challenges
- Performing cleansing and validation of data
Applicants should have strong communication skills, the ability to work under pressure, and familiarity with SAP and Microsoft 365 applications.
Power BI-Powered Data & Business Support Analyst (Contract) employer: List Recruitment
Contact Detail:
List Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Power BI-Powered Data & Business Support Analyst (Contract)
✨Tip Number 1
Network like a pro! Reach out to people in your industry, especially those who work with Power BI or data analysis. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI projects and any data analysis you've done. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data challenges and how you’ve tackled them in the past. Be ready to discuss your experience with SAP and Microsoft 365 too!
✨Tip Number 4
Don’t forget to apply through our website! We make it easy for you to find roles that match your skills and interests, so take advantage of it and get your application in!
We think you need these skills to ace Power BI-Powered Data & Business Support Analyst (Contract)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Power BI and data analysis. We want to see how you've tackled similar challenges in the past, so don’t hold back on those relevant projects!
Show Off Your Skills: In your cover letter, emphasise your strong communication skills and ability to work under pressure. We love candidates who can articulate their thoughts clearly and thrive in a fast-paced environment.
Be Specific About Your Experience: When discussing your familiarity with SAP and Microsoft 365, give specific examples of how you've used these tools in previous roles. This helps us understand your hands-on experience and how you can contribute to our team.
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!
How to prepare for a job interview at List Recruitment
✨Know Your Power BI Inside Out
Make sure you’re well-versed in Power BI. Brush up on creating metrics and visualisations, as you might be asked to demonstrate your skills or discuss your previous projects. Familiarity with the latest features can really set you apart!
✨Showcase Your Data Cleansing Skills
Be prepared to talk about your experience with data cleansing and validation. Have specific examples ready that highlight how you’ve tackled data challenges in the past. This will show your potential employer that you can enhance efficiency effectively.
✨Communicate Clearly and Confidently
Strong communication skills are a must for this role. Practice explaining complex data concepts in simple terms. This will not only help you during the interview but also demonstrate your ability to collaborate with others.
✨Familiarise Yourself with SAP and Microsoft 365
Since familiarity with SAP and Microsoft 365 applications is key, make sure you know how these tools integrate with data analysis. If you have any specific experiences using them, be ready to share those insights during your interview.