At a Glance
- Tasks: Analyse data and generate insights for health and social science projects.
- Company: Dynamic research services agency focused on impactful projects.
- Benefits: Part-time flexibility, professional development opportunities, and a chance to make a difference.
- Why this job: Join a team that drives positive change through research and data analysis.
- Qualifications: MSc in Data Analytics or related field; skilled in Excel, SQL, and SPSS.
The predicted salary is between 13 - 16 £ per hour.
A research services agency is seeking a part-time Evidence and Insight Analyst to support health and social science projects. The role involves data analysis, generating insights, and collaborating with various stakeholders.
Candidates should have an MSc in Data Analytics or a related field, with proficiency in statistical analysis and tools like Excel, SQL, and SPSS.
This hybrid role offers opportunities for professional development and a chance to drive positive impact in research initiatives.
Hybrid Health & Social Insight Analyst — Part-Time employer: Analytics for Change
Contact Detail:
Analytics for Change Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Health & Social Insight Analyst — Part-Time
✨Tip Number 1
Network like a pro! Reach out to professionals in the health and social science sectors on LinkedIn. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analysis projects, especially those using Excel, SQL, or SPSS. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your statistical analysis skills and be ready to discuss how you've used them in past projects. Confidence is key!
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team.
We think you need these skills to ace Hybrid Health & Social Insight Analyst — Part-Time
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data analysis and any specific tools like Excel, SQL, or SPSS. We want to see how your skills align with the role, so don’t be shy about showcasing your MSc in Data Analytics!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about health and social science projects and how you can contribute to our team. Let us know what drives you and how you can make a positive impact.
Showcase Your Analytical Skills: In your application, give examples of past projects where you’ve used statistical analysis to generate insights. We love seeing real-world applications of your skills, so share those success stories with us!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Analytics for Change
✨Know Your Data Tools
Make sure you brush up on your skills with Excel, SQL, and SPSS before the interview. Be ready to discuss how you've used these tools in past projects, as this will show your proficiency and ability to generate insights effectively.
✨Showcase Your Analytical Mindset
Prepare examples of how you've approached data analysis in previous roles or studies. Highlight specific instances where your insights led to positive outcomes. This will demonstrate your capability to contribute meaningfully to health and social science projects.
✨Understand the Stakeholders
Research the types of stakeholders you might be collaborating with in this role. Think about how you can communicate complex data insights clearly to non-technical audiences. This will show that you can bridge the gap between data and decision-making.
✨Express Your Passion for Impact
Be ready to discuss why you're interested in this hybrid role and how you see yourself driving positive change through research initiatives. Showing genuine enthusiasm for the impact of your work can set you apart from other candidates.