At a Glance
- Tasks: Lead the data function and drive impactful data strategies for a charitable organisation.
- Company: A mission-driven charity focused on leveraging data for positive change.
- Benefits: Competitive salary, hybrid working, and the chance to make a real difference.
- Other info: Exciting opportunity to grow within a dynamic and purpose-led environment.
- Why this job: Join a pivotal role in shaping data-driven decisions that support a meaningful cause.
- Qualifications: Proven experience in data management and leadership skills.
The predicted salary is between 70000 - 80000 £ per year.
Our client is a charitable organisation with a clear mission and a growing ambition to put data at the heart of how it operates. They are looking for a hands-on Head of Data to take ownership of their data function at a pivotal moment in its development.
This is a hybrid hands-on / leadership position.
If you have the right match for this opportunity, then make sure to apply today.
Head of Data in London employer: Asset Resourcing
As a leading charity in the not-for-profit sector, our organisation offers a unique opportunity for the Head of Data to make a significant impact by driving data initiatives that align with our mission. With a supportive hybrid work culture based in London, we prioritise employee growth through continuous learning and development opportunities, ensuring that our team members thrive both personally and professionally. Join us to be part of a passionate team dedicated to making a difference while enjoying the benefits of a collaborative and innovative work environment.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data in 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 Asset Resourcing 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
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Asset Resourcing.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Asset Resourcing.
We think you need these skills to ace Head of Data in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Asset Resourcing, 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 Asset Resourcing, 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 Asset Resourcing’s attention and show the tangible impact of your work.
How to prepare for a job interview at Asset Resourcing
✨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 Asset Resourcing.
✨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 Asset Resourcing.
✨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 Asset Resourcing.
