At a Glance
- Tasks: Transform messy data into clear insights and impactful reports.
- Company: Join a respected professional body with a focus on data-driven decisions.
- Benefits: Competitive salary, flexible home working, and opportunities for professional growth.
- Other info: Fixed term contract until December 2026 with a supportive team environment.
- Why this job: Make a real difference in the science landscape through data analysis.
- Qualifications: Strong Python skills and experience in data manipulation and visualisation.
The predicted salary is between 34800 - 36800 € per year.
Merrifield Consultants is recruiting a Data Analyst for a respected professional body. This role sits in a small data insights team, producing evidence and analysis on areas such as membership, students, teachers, awards, research and the wider science landscape. This is a fixed term contract until 31 December 2026, ideally starting as soon as possible.
The role will involve:
- Working with messy data and turning it into clear, usable information
- Using Python for data manipulation, analysis and reporting
- Using Microsoft tools and AWS for access, storage and workflows
- Producing clear visualisations and reports
- Keeping KPIs up to date
- Analysing internal data, including membership numbers, awards, students and teachers
- Supporting general data analysis across projects
We are looking for someone with:
- Good data theory and a sound understanding of data structures
- Strong data manipulation and reporting experience
- Confident Python skills
- Experience producing clear visualisations
- The ability to explain findings simply to different audiences
- A careful, practical approach to data quality and accuracy
This would suit a Data Analyst who is confident with Python.
Data Analyst employer: Merrifield Consultants
Merrifield Consultants offers an exceptional work environment for Data Analysts, providing a unique opportunity to contribute to meaningful projects within a respected professional body. With a flexible home-based setup complemented by collaborative team meetings, employees enjoy a supportive culture that prioritises professional growth and development. The role not only allows for the application of advanced data skills but also fosters a sense of purpose through impactful analysis in the science landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend webinars, and join relevant groups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data manipulation and visualisation projects. This is your chance to demonstrate your Python prowess and how you turn messy data into clear insights.
✨Tip Number 3
Prepare for interviews by practising common data analysis questions. Be ready to explain your thought process and how you ensure data quality. Remember, clarity is key when discussing your findings!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Analyst role. Highlight your experience with Python, data manipulation, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Your Skills:Don’t forget to showcase your technical skills in your application. Mention your experience with Microsoft tools, AWS, and any visualisation techniques you’ve used. We’re keen to see how you handle messy data and turn it into clear insights!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Merrifield Consultants
✨Know Your Data Inside Out
Before the interview, brush up on your understanding of data theory and structures. Be ready to discuss how you've worked with messy data in the past and how you transformed it into clear, usable information. This will show that you’re not just familiar with the concepts but can apply them practically.
✨Show Off Your Python Skills
Since the role requires confident Python skills, prepare to demonstrate your knowledge. You might be asked to solve a problem or explain how you've used Python for data manipulation and analysis. Practise coding challenges or review past projects where you utilised Python effectively.
✨Visualisation is Key
Be ready to talk about your experience producing clear visualisations. Bring examples of your work, if possible, and explain how you chose the right visual tools to convey your findings. This will highlight your ability to communicate complex data simply to different audiences.
✨Prepare for Practical Questions
Expect questions that assess your approach to data quality and accuracy. Think about scenarios where you had to ensure data integrity and how you handled any issues. This will demonstrate your careful and practical approach, which is crucial for the role.
