Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Consumer Research & Data Analyst

Mintel
Greater London
2 months ago
Applications closed

Related Jobs

View all jobs

Senior UX Researcher, Quantitative Analysis

Data Analyst, ECommerce

Data Analyst, ECommerce

Data Science Manager – Insights Consultancy

Data Science Manager – Insights Consultancy

Data Engineer - 12 month FTC

Go Back To Current Openings

Consumer Research & Data Analyst, Japan (7-Month Fixed Contract)

Japan

Do you enjoy working with consumer research and data? The world’s leading market intelligence agency, Mintel, is seeking a highly organised consumer researcher to join its Consumer Research and Data Analytics team.


Based in Tokyo, this role will support our syndicated consumer research projects in Japan and will be working with the reporting team to provide a first-class level of quantitative consumer analysis. This role will manage the day-to-day research projects from questionnaire design to fieldwork and data analysis.

What You Will Be Doing

Designing consumer surveys: Working with the internal reporting team to design online quantitative questionnaires in both English and Japanese that meet research objectives and analysis requirements. 


Research project management: Liaising with external providers and internal resources to manage research projects independently to ensure all research is conducted within budget and to deadline. This also includes checking outputs and troubleshooting queries. 
Analysing data: Using a wide range of data analysis tools including SPSS, R, and others to tabulate and analyze quantitative consumer research data effectively. This also includes running advanced statistical analysis which includes, but is not limited to, correspondence analysis, CHAID (decision tree analysis), cluster analysis (segmentation), and forecasting. 
Maintaining internal databases: Gathering market data through desk research and managing an internal database of the macro-economic environment. 

Who we are looking for

3+ year’s work experience within a market research agency/client-side environment 


Bachelor’s degree or a comparable degree with a minimum of 2:1 in a relevant subject 
Experience managing market research projects in Japan is essential 
Strong knowledge of designing and analysing quantitative research from questionnaire design to data output 
Proven experience with analyzing data in R or SPSS (or similar statistical software) in a commercial setting 
Highly organised with experience of managing multiple research projects to deadlines
Excellent analytical and interpretative skills with the ability to communicate data, statistics and other research-related concepts to non-researchers • Experience of searching or using secondary data, such as industry or government data
High attention to detail with a focus on ensuring quality data 
A strong team player willing to help out others both within and outside the team 
A high degree of numeracy 
Fluent in both English and Japanese

#LI-MY

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly become one of the most influential disciplines of the digital age. Once a niche combination of statistics and computing, it is now central to how organisations innovate, compete, and grow. From healthcare and finance to retail, logistics, and government, data science is reshaping decision-making across every sector. In the UK, data science has grown into a core career pathway. Salaries are competitive, demand continues to rise, and roles now extend far beyond analytics into artificial intelligence, machine learning, and predictive modelling. Yet as technologies evolve, many of the most important data science careers of the future don’t exist today. This article explores why entirely new roles will emerge, the kinds of careers that may appear, how existing jobs will evolve, why the UK is well placed to lead, and what professionals can do to prepare for this transformation.

Jobs

Seasonal Hiring Peaks for Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

Jobs

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.