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- Tasks: Create insightful dashboards and reports using Power BI to support decision-making.
- Company: Reputable hospice organisation prioritising employee well-being and diversity.
- Benefits: Flexible hours, comprehensive benefits package, and a supportive work environment.
- Why this job: Make a meaningful impact in the community while developing your data analysis skills.
- Qualifications: Strong background in data analysis and proficiency in Power BI.
- Other info: Join a diverse team and enjoy a flexible part-time role.
The predicted salary is between 13 - 16 £ per hour.
A reputable hospice organization in the South-West of England seeks a part-time Data Analyst to support their Finance & Business Intelligence team. This flexible role involves developing insightful dashboards and reports with Power BI to enhance organizational decision-making.
Candidates must have a strong background in data analysis, particularly in Power BI.
With a focus on employee well-being, the organization offers a comprehensive benefits package and encourages a diverse workforce that reflects the communities served.
Part-Time Data Analyst (Power BI) — Dashboards & Insights employer: Hirenza
Contact Detail:
Hirenza Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Part-Time Data Analyst (Power BI) — Dashboards & Insights
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the hospice organisation on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini portfolio showcasing your Power BI dashboards. This will help us demonstrate our expertise and creativity during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or family, focusing on common data analyst questions. This will help us feel more confident and articulate our thoughts clearly.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CV and cover letter to match the job description perfectly.
We think you need these skills to ace Part-Time Data Analyst (Power BI) — Dashboards & Insights
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 used it to create dashboards and reports that drive decision-making. Don't hold back on showcasing your best work!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We love seeing candidates who understand our mission and values, so make sure to connect your skills and experiences to what we do at the hospice.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the Data Analyst position.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the easiest way for us to review your details and get back to you. Plus, it shows you're serious about joining our team!
How to prepare for a job interview at Hirenza
✨Know Your Power BI Inside Out
Make sure you brush up on your Power BI skills before the interview. Be ready to discuss specific projects where you've used Power BI to create dashboards and reports. Highlight how your insights have influenced decision-making in previous roles.
✨Understand the Organisation's Mission
Research the hospice organisation and understand their mission and values. This will help you tailor your answers to show how your skills can contribute to their goals, especially in enhancing employee well-being and supporting the community.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical data analysis problems. Practice articulating your thought process clearly, demonstrating how you would approach creating a dashboard or report that meets the organisation's needs.
✨Showcase Your Team Spirit
Since this role is part of a team, be prepared to discuss how you collaborate with others. Share examples of how you've worked with finance or business intelligence teams in the past, and emphasise your commitment to fostering a diverse and inclusive work environment.
