Data Manager - Volunteer

Data Manager - Volunteer

Volunteer 47181 - 55000 £ / year (est.) Working from home possible
With Insight Education

At a Glance

  • Tasks: Conduct a data audit and improve our data structure for better management.
  • Company: A growing charity dedicated to making a difference through effective data use.
  • Benefits: Gain valuable experience, work remotely, and contribute to meaningful projects.
  • Other info: Join a small team where your contributions will have a real impact.
  • Why this job: Help us enhance our data quality and support our mission to empower young people.
  • Qualifications: Experience in data management and familiarity with GDPR is a plus.

The predicted salary is between 47181 - 55000 £ per year.

What difference will you make?

As a growing charity, we're increasingly reliant on good data to run our programmes well, from tracking student engagement to managing donor and supporter information.

But like many small organisations, our data has grown organically across several systems, without always having the structure or consistency it needs.

A Data Manager would help us get ahead of this before it becomes a bigger problem.

A proper data audit gives us visibility over what we actually hold and where gaps or duplication exist.

Better structure and data quality means our team can trust the information they're working with.

GDPR compliance and data security are also becoming more important as we scale, and getting this right protects both the young people we work with and the organisation itself.

What are we looking for?

We're looking for someone with experience in data management, data analysis, or systems/operations roles, ideally with exposure to CRM or database structuring.

Experience with GDPR and data protection practice is a strong plus, as is any hands-on experience with automation or AI tools applied to data workflows.

We\'d value someone methodical and detail-oriented, who\'s comfortable making sense of imperfect data and proposing practical improvements rather than just flagging problems.

Experience working with small teams or charities/non-profits is helpful but not essential, what matters most is the ability to bring structure and clarity to our data landscape.

Remote

What will you be doing?

We\'re looking for a Data Manager to help us build stronger foundations for how we collect, store and use data across the organisation.

You\'ll start by undertaking a data audit across our key systems, our master programme databases, to understand what we hold, where, and how it\'s currently structured.

From there, you\'ll help us design a clearer data structure that can support our growth, including how records are organised, linked and maintained over time.

A key focus will be data quality making sure records are accurate, consistent and properly categorised, and that we\'re handling data securely and in line with GDPR.

Please note this role does not involve handling sensitive personal data.

You\'ll also support broader data cleaning and categorising work, and explore how AI or automation tools could reduce manual data work for our small team, for example through simple workflow automations or smarter use of the systems we already have.

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Data Manager - Volunteer employer: With Insight Education

As a Remote Project Manager for our Career Readiness mentoring programme, you will join a dynamic and supportive work culture that prioritises meaningful impact in the lives of young people. We offer flexible working arrangements, professional development opportunities, and a collaborative environment where your contributions are valued and recognised. With a focus on building strong relationships with corporate partners and stakeholders, you'll play a crucial role in shaping the future of youth employability while enjoying the benefits of remote work.

With Insight Education

Contact Details:

With Insight Education Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Manager - Volunteer

Get Involved in Open-Source Projects

Dive into some open-source data science projects on platforms like GitHub. Contributing your skills to real-world problems not only hones your abilities but also puts your name out there in the community, making it easier to land volunteer roles with organisations that value your experience.

Join Local Data Science Meetups

Check out local data science meetups and events in your area. Networking face-to-face not only helps us pin down opportunities but also lets you connect with fellow data enthusiasts and professionals who might know of volunteering positions at places like With Insight Education or elsewhere!

Utilise University Resources

If you’re associated with a university, tap into your career services for volunteer opportunities. They often have connections with local businesses and research projects that are looking for volunteers; even a few hours a week can make a difference on your CV!

Showcase Your Data Projects

Build a portfolio featuring your completed data projects, even if they’re from coursework or personal initiatives. Share this portfolio on platforms like LinkedIn or personal blogs to highlight your skills, which can grab the attention of potential volunteer roles at With Insight Education and beyond.

We think you need these skills to ace Data Manager - Volunteer

Data Management
Data Analysis
CRM Experience
Database Structuring
GDPR Compliance
Data Protection Practices
Automation Tools

Some tips for your application 🫡

Show Off Your Data Skills:Since you're aiming for a data-science role as a volunteer, make sure your CV highlights any relevant skills like programming languages (Python, R), statistical analysis, or machine learning. If you’ve worked on any data projects, include detailed descriptions to showcase your experience – even if they were for school or personal projects!

Include Relevant Coursework and Certificates:If you’ve taken any courses related to data science or have any certifications, don’t forget to include these in your application! Courses from platforms like Coursera or edX can really boost your credibility, especially if they include hands-on data analysis or machine learning components.

Share Your Passion for Data:In your cover letter, let us know why you’re excited about volunteering in a data-science role. Share your passion for data analysis and how this opportunity aligns with your career aspirations. We're looking for enthusiasm as well as skills!

Keep Your Application Concise and Focused:Volunteer roles can attract many applicants, so make your application concise and relevant. Tailor your CV and cover letter specifically to this role at With Insight Education. Focus on your most relevant experiences and how you can contribute to the team without going overboard on length!

How to prepare for a job interview at With Insight Education

Show Off Your Data Skills

For a data science role, it’s essential to demonstrate your analytical skills. Brush up on core concepts like regression, classification, and clustering algorithms. Be ready to discuss your experience with tools like Python, R, or SQL – maybe even walk us through a mini-project or analysis you've done, showcasing your problem-solving prowess.

Brush Up on Data Visualisation

Data science isn't just about crunching numbers; communication is key! Make sure you can explain your findings clearly through data visualisations. Having a portfolio of your visualisations ready will impress the interviewers at With Insight Education. Bring along some examples that illustrate not just your technical skills but also your storytelling ability with data.

Highlight Your Enthusiasm for Learning

As a volunteer, your willingness to learn and adapt is crucial. Emphasise your passion for data science and any self-directed projects you've undertaken, like participating in competitions on platforms such as Kaggle. This shows that you’re keen to grow in the field and contribute to With Insight Education while gaining valuable experience.

Be Ready for Hands-On Challenges

Often, interviews in data science can involve live coding or analytical challenges. Don’t be surprised if you're asked to solve a problem on the spot! Practise with sample problems or challenges beforehand so you can keep your cool and demonstrate your thought process clearly—this can really set you apart from other candidates!