Part-Time Data Insights Coordinator for Social Impact

Part-Time Data Insights Coordinator for Social Impact

Part-Time 19350 - 23650 £ / year (est.) No working from home possible
Albert Kennedy Trust Ltd

At a Glance

  • Tasks: Analyse data to support LGBTQ+ youth facing homelessness and report findings.
  • Company: Albert Kennedy Trust Ltd, dedicated to social impact and supporting young people.
  • Benefits: Flexible hours, meaningful work, and the chance to make a difference.
  • Other info: Part-time role with opportunities for personal and professional growth.
  • Why this job: Join a mission-driven team and help shape strategies for positive change.
  • Qualifications: Strong analytical skills and effective communication abilities required.

The predicted salary is between 19350 - 23650 £ per year.

Albert Kennedy Trust Ltd in the UK is seeking a part-time fixed-term Data Analyst to support our work with young LGBTQ+ people facing homelessness.

The role focuses on quantitative data collection, analysis and reporting to inform akt's strategic direction and demonstrate impact externally.

You will need excellent analytical and communication skills, be highly organised and able to present data clearly for use across teams.

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Part-Time Data Insights Coordinator for Social Impact employer: Albert Kennedy Trust Ltd

At Albert Kennedy Trust Ltd, we pride ourselves on being an exceptional employer dedicated to making a meaningful impact in the lives of LGBTQ+ youth. Our supportive work culture fosters collaboration and innovation, providing employees with opportunities for personal and professional growth while working in the vibrant city of Newcastle upon Tyne. Join us to be part of a passionate team that values diversity and is committed to creating a safe space for young people at risk of homelessness.

Albert Kennedy Trust Ltd

Contact Details:

Albert Kennedy Trust Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Part-Time Data Insights Coordinator for Social Impact

Get Involved in Data Challenges

Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like Albert Kennedy Trust Ltd.

Connect with Local Data Communities

Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.

Leverage Your University’s Resources

If you're still in university, make full use of your career services. They might have part-time roles tailored for students like you, and often have direct connections with companies looking to hire talented interns in data science roles.

Apply Directly Through Our Website

Don’t forget to check out our jobs at Albert Kennedy Trust Ltd and apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate individuals like us who are eager to make an impact in the data science world.

We think you need these skills to ace Part-Time Data Insights Coordinator for Social Impact

Communication Skills
Problem-Solving Skills
SQL
Python
Automation
Attention to Detail
Data Engineering

Some tips for your application 🫡

Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!

Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.

Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at Albert Kennedy Trust Ltd aligns with your career aspirations. Show us you're excited about learning and growing with us!

Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!

How to prepare for a job interview at Albert Kennedy Trust Ltd

Brush Up on Your Stats!

Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with Albert Kennedy Trust Ltd.

Show Off Your Projects!

It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to Albert Kennedy Trust Ltd.

Familiarise Yourself with Tools of the Trade

Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at Albert Kennedy Trust Ltd, so having a comfort level with these tools will definitely be an advantage.

Be Ready to Discuss Real-World Applications

Since this is a part-time role, employers at Albert Kennedy Trust Ltd will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.