Data & Impact Officer (Part-Time) - Tell Impact with Data in London

Data & Impact Officer (Part-Time) - Tell Impact with Data in London

London Part-Time 15000 - 20000 £ / year (est.) No working from home possible
NATIONAL CHURCHES TRUST

At a Glance

  • Tasks: Analyse data to showcase the impact of church buildings across the UK.
  • Company: Join the National Churches Trust, a mission-driven charity.
  • Benefits: Flexible part-time hours and the chance to make a difference.
  • Other info: Collaborative environment with opportunities for personal growth.
  • Why this job: Help preserve church heritage while developing your analytical skills.
  • Qualifications: Strong analytical skills and a passion for community impact.

The predicted salary is between 15000 - 20000 £ per year.

The National Churches Trust is seeking a part-time Data and Impact Officer to help interpret data and insights for communicating the impact of church buildings across the UK. This role requires an analytical mindset to ensure data accuracy and effectiveness in engaging different audiences.

Join a mission-driven organization focused on keeping churches open and well-maintained. You will work collaboratively on varied tasks that support the charity's mission and contribute to informed decision-making.

Data & Impact Officer (Part-Time) - Tell Impact with Data in London employer: NATIONAL CHURCHES TRUST

The National Churches Trust is an exceptional employer that values mission-driven work and fosters a collaborative environment. Employees enjoy the opportunity for personal and professional growth while contributing to the meaningful cause of preserving church buildings across the UK. With a focus on data accuracy and impactful communication, this part-time role offers a unique chance to make a difference in the community while enjoying a supportive work culture.

NATIONAL CHURCHES TRUST

Contact Details:

NATIONAL CHURCHES TRUST Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data & Impact Officer (Part-Time) - Tell Impact with Data in London

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 NATIONAL CHURCHES TRUST.

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 NATIONAL CHURCHES TRUST 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 Data & Impact Officer (Part-Time) - Tell Impact with Data in London

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

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 NATIONAL CHURCHES TRUST 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 NATIONAL CHURCHES TRUST

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 NATIONAL CHURCHES TRUST.

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 NATIONAL CHURCHES TRUST.

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 NATIONAL CHURCHES TRUST, 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 NATIONAL CHURCHES TRUST 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.