Charity Data Insight Analyst: Power BI & Fabric (Hybrid London)

Charity Data Insight Analyst: Power BI & Fabric (Hybrid London)

London Temporary 31500 - 38500 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Transform complex data into actionable insights using Power BI and SQL.
  • Company: Leading charity in London focused on impactful service delivery.
  • Benefits: Hybrid work model, competitive pay, and meaningful contributions to society.
  • Other info: Join a supportive team dedicated to social good with flexible working options.
  • Why this job: Make a real difference by analysing data that drives charitable impact.
  • Qualifications: Experience with Power BI, SQL, and strong analytical skills.

The predicted salary is between 31500 - 38500 £ per year.

Morgan Hunt is assisting a leading charity in London to hire a Power BI & Fabric Analyst on a 6-month contract (inside IR35).

You will translate complex datasets into actionable insights across fundraising, service delivery and impact measurement, owning end-to-end analysis using SQL and Fabric, developing Power BI dashboards, and presenting findings to non-technical stakeholders.

Hybrid work with one day per week in the London office.

Charity Data Insight Analyst: Power BI & Fabric (Hybrid London) employer: Morgan Hunt

As a leading higher education institution in Birmingham, we pride ourselves on fostering a collaborative and innovative work culture that prioritises academic excellence and student engagement. Our commitment to professional development ensures that our lecturers have ample opportunities for growth, while our vibrant community encourages meaningful contributions to the field of accounting and finance. Join us to make a significant impact on the next generation of professionals in a supportive and dynamic environment.

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Contact Details:

Morgan Hunt Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Charity Data Insight Analyst: Power BI & Fabric (Hybrid London)

✨Tap into Online Data Science Communities

Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Morgan Hunt before they're even advertised!

✨Show Off Your Skills With Projects

Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.

✨Check Out Specialist Job Boards

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✨Leverage University Resources

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We think you need these skills to ace Charity Data Insight Analyst: Power BI & Fabric (Hybrid London)

Power BI
Fabric
SQL
Data Analysis
Dashboard Development
Presentation Skills
Stakeholder Engagement

Some tips for your application 🫡

Highlight Your Data Projects:When applying for a temporary data science role at Morgan Hunt, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.

Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!

Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Morgan Hunt, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.

Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Morgan Hunt’s attention and show the tangible impact of your work.

How to prepare for a job interview at Morgan Hunt

✨Showcase Your Analytical Skills

For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Morgan Hunt.

✨Brush Up on Technical Skills

You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.

✨Highlight Your Adaptability

Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Morgan Hunt.

✨Prepare a Portfolio of Your Work

Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Morgan Hunt.