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 a supportive team environment.
- Other info: Diverse and inclusive workplace with opportunities for personal growth.
- Why this job: Make a difference in research and membership through your data skills.
- Qualifications: Strong Python skills and experience in data manipulation and visualisation.
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.
Data Analyst Salary: Between £34,800 to £36,800 pro rata (depending on experience)
Hours: 35 hours per week
Fixed term contract until December 2026
Location: Mostly home based, with monthly team meetings, quarterly meetings and occasional office attendance when needed
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, understands how to work with imperfect data, and wants to work on useful evidence-led projects in a research, membership or not-for-profit setting.
For more information or to apply, please contact Akash Mahmud at Merrifield Consultants.
We practice a diverse and inclusive recruitment process that ensures equal opportunity for all we work with, irrespective of race, sexual orientation, mental or physical disability, age or gender. As an organisation, we encourage applications from all backgrounds and will ensure measures are met when required, to allow a fair process throughout.
Data Analyst in London 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 focus on inclusivity and diversity, employees benefit from flexible home-based working arrangements, regular team interactions, and a commitment to professional growth through engaging data-driven initiatives. This role not only allows for the development of technical skills in Python and data analysis but also fosters a collaborative culture that values each team member's contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in London
✨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 put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using Python and visualisation tools. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data-related questions and scenarios. Practice explaining your findings simply, as if you're talking to someone without a data background. This will help you shine during the interview!
✨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 the initiative to connect with us directly.
We think you need these skills to ace Data Analyst in London
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 Data Skills:In your application, don’t forget to mention specific tools and techniques you’ve used. Whether it's AWS, Microsoft tools, or creating visualisations, we want to know how you’ve tackled messy data and turned it into clear insights.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep everything organised and ensures your application gets the attention it deserves. 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 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 understand the core of what the role entails.
✨Show Off Your Python Skills
Make sure you can confidently talk about your experience with Python. Prepare examples of how you've used it for data manipulation, analysis, and reporting. If possible, bring along a portfolio or examples of your work to demonstrate your skills in action.
✨Visualisation is Key
Since producing clear visualisations is part of the job, be prepared to discuss your approach to creating them. Think about the tools you've used and how you ensure your visualisations effectively communicate your findings to different audiences.
✨Emphasise Data Quality
Highlight your careful and practical approach to data quality and accuracy. Be ready to share specific instances where you ensured data integrity in your previous roles. This will reassure the interviewers that you take data seriously and understand its importance in decision-making.
