Data Insights Assistant for Social Impact in Birmingham

Data Insights Assistant for Social Impact in Birmingham

Birmingham Part-Time 12000 - 16000 £ / year (est.) No working from home possible
Midland Mencap

At a Glance

  • Tasks: Collect and analyse data to support services for people with learning disabilities.
  • Company: Midland Mencap, a charity focused on social impact in Birmingham.
  • Benefits: Flexible working hours and opportunities for personal development.
  • Other info: Part-time role with a focus on meaningful work and community impact.
  • Why this job: Make a real difference in the lives of individuals while honing your data skills.
  • Qualifications: Experience with Excel and data platforms, plus strong attention to detail.

The predicted salary is between 12000 - 16000 £ per year.

Midland Mencap is seeking a motivated Data Analyst Assistant based in Birmingham, working 16 hours per week. The role involves collecting and analyzing data to support services for people with learning disabilities, while providing insights through dashboards and reports.

The ideal candidate will have experience with Excel and data platforms, along with strong attention to detail and communication skills. Flexible working and development opportunities are also offered.

Data Insights Assistant for Social Impact in Birmingham employer: Midland Mencap

Midland Mencap is an exceptional employer dedicated to making a meaningful impact in the lives of individuals with learning disabilities. Based in Birmingham, we offer a supportive work culture that values flexibility and personal development, ensuring our employees have the opportunity to grow their skills while contributing to vital social services. Join us to be part of a passionate team that prioritises both professional fulfilment and community well-being.

Midland Mencap

Contact Details:

Midland Mencap Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Insights Assistant for Social Impact in Birmingham

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 Midland Mencap.

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 Midland Mencap 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 Insights Assistant for Social Impact in Birmingham

Data Analysis
Excel
Attention to Detail
Communication Skills
Dashboard Creation
Report Writing
Data Collection

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 Midland Mencap 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 Midland Mencap

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 Midland Mencap.

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 Midland Mencap.

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 Midland Mencap, 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 Midland Mencap 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.