Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and analyse data-driven research projects to uncover insights for major brands.
- Company: Join a leading market research firm specialising in brand strategy and consumer experience.
- Benefits: Enjoy hybrid working, a collaborative culture, and opportunities for professional growth.
- Why this job: Be part of a dynamic team that values innovation and storytelling through data.
- Qualifications: Proficiency in R, strong analytical skills, and a degree in a numerate discipline preferred.
- Other info: No sponsorship provided; ideal for those passionate about analytics and insights.
The predicted salary is between 36000 - 60000 £ per year.
LOCATION – LONDON | HYBRID WORKING
THE COMPANY
This is a well-established market research and insights company, working with major brands across various sectors, including FMCG, financial services, automotive, leisure, and healthcare. The company specializes in brand strategy, consumer experience, and communications, using a mix of quantitative research, qualitative insights, and advanced data analytics. As part of their commitment to delivering high-quality research and actionable insights, they are looking for a Data Analyst to join their growing team.
THE ROLE
As a Data Analyst, you will play a key role in designing, analyzing, and delivering data-driven research projects. You will work closely with market research teams and data science specialists, applying analytical techniques to uncover key insights that help brands grow. This is an exciting opportunity for someone with strong programming skills in R, data analysis experience, and a passion for storytelling with data.
KEY RESPONSIBILITIES
- Assist in designing and executing market research projects that include advanced analytics such as segmentation, regression, and conjoint analysis.
- Clean, process, and analyze survey data, ensuring high accuracy and reliability.
- Collaborate with research teams to interpret findings and deliver clear, actionable insights.
- Work on data visualization projects, supporting the development of dashboards and reports.
- Communicate complex data findings to both technical and non-technical stakeholders.
- Support innovation by exploring new analytical techniques to enhance research methodologies.
YOUR SKILLS & EXPERIENCE
- Proficiency in R for data manipulation and statistical analysis (experience with SPSS syntax is a plus).
- Strong understanding of quantitative research techniques such as segmentation, regression, and conjoint analysis.
- Experience working with Excel and PowerPoint for data analysis and reporting.
- A keen interest in storytelling with data, with the ability to translate numbers into meaningful insights.
- Strong attention to detail, methodical problem-solving skills, and a passion for analytics.
- Familiarity with dashboarding tools such as Power BI, Tableau, or R Shiny is desirable.
- A degree in a numerate discipline (e.g., Mathematics, Statistics, Economics, Data Science) is preferred.
HOW TO APPLY
To express your interest, send your CV to Valentine by clicking the apply button below.
Research Analyst employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in market research and data analytics. This will not only help you understand the industry better but also allow you to engage in meaningful conversations during interviews, showcasing your passion for the field.
✨Tip Number 2
Brush up on your R programming skills, as proficiency in R is a key requirement for this role. Consider working on personal projects or contributing to open-source projects that involve data analysis to demonstrate your capabilities.
✨Tip Number 3
Network with professionals in the market research and data analytics sectors. Attend relevant webinars, workshops, or local meetups to connect with potential colleagues and learn more about the company culture at the organisation you're applying to.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data to drive insights in past projects. Being able to articulate your experience with quantitative research techniques like segmentation and regression will set you apart from other candidates.
We think you need these skills to ace Research Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description. Emphasise your proficiency in R, data analysis, and any experience with quantitative research techniques.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data storytelling and your analytical skills. Mention specific projects or experiences that demonstrate your ability to deliver actionable insights.
Highlight Technical Skills: Clearly list your technical skills, especially in R, Excel, and any dashboarding tools like Power BI or Tableau. Provide examples of how you've used these tools in past roles to solve problems or enhance research methodologies.
Showcase Attention to Detail: In your application, include examples that illustrate your strong attention to detail and methodical problem-solving skills. This could be through specific projects where accuracy was crucial to the outcome.
How to prepare for a job interview at Harnham
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with data analysis techniques, especially in R. Highlight specific projects where you've applied segmentation, regression, or conjoint analysis, and be ready to explain your thought process.
✨Prepare for Data Storytelling
Since the role requires translating complex data into actionable insights, practice how you would present your findings. Use examples from your past work to demonstrate your ability to tell a compelling story with data.
✨Familiarise Yourself with Dashboarding Tools
If you have experience with tools like Power BI, Tableau, or R Shiny, make sure to mention it. If not, do some research on these tools and be ready to discuss how you would use them in your role.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's research methodologies and how they apply advanced analytics. This shows your genuine interest in the role and helps you understand their expectations better.
