Monitoring & Evaluation Specialist: Data-Driven Insights

Monitoring & Evaluation Specialist: Data-Driven Insights

Part-Time 30000 - 40000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Support monitoring and evaluation processes for the National Lottery Strategy.
  • Company: Join the British Film Institute, a leader in film research and statistics.
  • Benefits: Enjoy 25 days annual leave, a pension scheme, and free BFI event tickets.
  • Other info: Part-time role with opportunities for growth until March 2028.
  • Why this job: Make a real impact in film research while developing your analytical skills.
  • Qualifications: Strong analytical skills and proficiency in Excel, Power BI, and PowerPoint.

The predicted salary is between 30000 - 40000 £ per year.

The British Film Institute is searching for a part-time Monitoring & Evaluation Officer to support its Research & Statistics Unit until March 2028. This position involves collaborating with various departments to enhance monitoring and evaluation processes related to the National Lottery Strategy.

The role requires strong analytical skills and proficiency in tools like Excel, Power BI, and PowerPoint to present insights effectively.

Key benefits include:

  • 25 days of annual leave
  • BFI pension scheme
  • Complimentary tickets to BFI events

Monitoring & Evaluation Specialist: Data-Driven Insights employer: British Film Institute

The British Film Institute is an exceptional employer, offering a collaborative work culture that values innovation and creativity in the film industry. With generous benefits such as 25 days of annual leave, a robust pension scheme, and access to exclusive BFI events, employees are encouraged to grow and thrive in their roles while contributing to meaningful projects that shape the future of film in the UK.

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Contact Details:

British Film Institute Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Monitoring & Evaluation Specialist: Data-Driven Insights

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 British Film Institute.

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 British Film Institute 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 Monitoring & Evaluation Specialist: Data-Driven Insights

Analytical Skills
Excel
Power BI
PowerPoint
Monitoring and Evaluation
Collaboration
Data Presentation

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 British Film Institute 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 British Film Institute

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 British Film Institute.

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 British Film Institute.

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 British Film Institute, 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 British Film Institute 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.