Research Analyst

LOCATION - LONDON | HYBRID WORKINGSALARY - £45,000NB - NO SPONSORSHIP PROVIDED

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.

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.

• 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.

• 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.

To express your interest, send your CV to Valentine by clicking the apply button below.