At a Glance
- Tasks: Transform messy data into clear insights using Python and create impactful visualisations.
- Company: Join a respected professional body with a focus on data-driven decision making.
- Benefits: Competitive salary, flexible remote work, and opportunities for professional growth.
- Other info: Diverse and inclusive workplace that values all backgrounds.
- Why this job: Make a real difference by working on evidence-led projects in a supportive team.
- Qualifications: Strong data manipulation skills and the ability to communicate findings clearly.
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.
Data Analyst Salary: Between £34,800 to £36,800, pro rata (depending on experience)
Hours: 35 hours per week
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
- 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.
Remote Data Analyst — Python, Visuals & Impact employer: Merrifield Consultants
Merrifield Consultants offers a supportive and inclusive work environment for Data Analysts, with a focus on professional growth and meaningful contributions to the science landscape. Employees benefit from flexible remote working arrangements, competitive salaries, and opportunities to engage in impactful projects that enhance their skills in data analysis and visualisation. The company values diversity and fosters a culture of collaboration, ensuring that every team member's voice is heard and appreciated.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Data Analyst — Python, Visuals & Impact
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at Merrifield Consultants or similar organisations. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨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 your data theory and practical skills. Be ready to discuss how you've tackled messy data in the past and how you can contribute to the team’s goals at Merrifield.
✨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 engage with us directly.
We think you need these skills to ace Remote Data Analyst — Python, Visuals & Impact
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and data manipulation. We want to see how you've tackled messy data and turned it into clear insights, so don’t hold back on those examples!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention your understanding of data theory and how you can communicate findings simply to different audiences.
Showcase Your Visualisation Skills:Since producing clear visualisations is key in this role, include examples of your work. Whether it's through links or attachments, we want to see how you can make data visually appealing and easy to understand.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates from us!
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 data but can also handle real-world challenges.
✨Show Off Your Python Skills
Since the role requires using Python for data manipulation and analysis, prepare to talk about specific projects where you've used Python effectively. Bring examples of scripts or analyses you've done, and be ready to explain your thought process. This will demonstrate your technical prowess and problem-solving abilities.
✨Visuals Matter
The ability to produce clear visualisations is key for this role. Prepare a portfolio of your best visualisation work to share during the interview. Discuss how you choose the right visuals for different types of data and audiences, as this will highlight your communication skills and attention to detail.
✨Be Ready to Discuss KPIs
Understanding and keeping KPIs up to date is part of the job. Think about how you've tracked and reported on KPIs in previous roles. Be prepared to explain your approach to ensuring data quality and accuracy, as this will show that you take a careful and practical approach to data analysis.
