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- Tasks: Transform employee data into compelling narratives that influence C-suite decisions.
- Company: Join Ipsos Karian & Box, a leader in employee experience research.
- Benefits: Enjoy 25 days annual leave, pension contributions, and flexible working options.
- Other info: Collaborative environment with opportunities for professional development and diverse perspectives.
- Why this job: Make a real impact on FTSE100 organisations with your analytical skills.
- Qualifications: Strong analytical thinker with experience in employee research and data visualisation.
The predicted salary is between 35000 - 45000 £ per year.
Are you a sharp Senior Research Executive who can turn employee data into compelling narratives that influence C-suite decisions? Do you enjoy visualising complex findings and collaborating with data scientists, designers and consultants to drive behaviour change across FTSE100 organisations? Join a specialist employee-experience team making real impact.
About the role:
Join Ipsos Karian and Box, a focused community of employee-experience experts, as a Senior Research Executive supporting employee listening programmes for FTSE100 and other major clients. You’ll analyse quantitative and qualitative data, identify patterns and hypotheses, and translate results into narrative-led reports, clear visualisations and practical recommendations. Day-to-day work includes preparing datasets, running advanced analyses (sampling, segmentation, regression), creating story-led outputs in DisplayR/other visual tools, and presenting findings in client workshops. You’ll collaborate closely with data scientists, insight colleagues, designers and project managers to shape research outputs and influence strategic decision-making. This role offers hands-on technical work, direct client engagement, and exposure to varied projects across a boutique-style team with the resources and reach of a global research business.
About you:
- Strong analytical thinker with experience turning employee research data into actionable insights and business narratives.
- Comfortable working with quantitative and qualitative datasets and explaining complex analysis in a digestible way.
- Skilled in data visualisation and report design to create engaging, narrative-led outputs.
- Proficient in R (and/or other statistical tools) and advanced Excel; experience with DisplayR desirable.
- Experienced in employee listening programmes or related employee experience research.
- Proactive, collaborative team player who works well with data scientists, designers and project managers.
- Proficiency in AI use and adoption to speed analysis, synthesis and improve client deliverables.
- Resilient, solutions-focused and motivated to learn and progress.
Essential skills:
- Excellent analytical, numerical and problem-solving skills.
- Practical experience with quantitative analysis (sampling, segmentation, regression) and qualitative synthesis.
- Proficiency in R and advanced Excel for data preparation and analysis.
- Ability to create clear, engaging visualisations and narrative-led reports (DisplayR experience a plus).
- Strong written and verbal communication; ability to present insights to stakeholders.
- Experience working on employee listening programmes or organisational research projects.
- Familiarity with working in multidisciplinary teams and translating analysis into practical recommendations.
- Proficiency in AI tools to enhance efficiency and insight generation.
Desirable skills:
- Advanced degree in a related discipline (e.g., Psychology, Statistics, Organisational Behaviour).
- Experience using DisplayR or similar report-building platforms.
- Prior exposure to FTSE100 or large corporate clients and stakeholder workshops.
- Knowledge of CRM/client management systems and working in matrixed environments.
- Experience applying advanced analysis techniques beyond basics (e.g., predictive models, clustering).
- Track record of contributing to programme design or proposition development.
- Experience working alongside data scientists and integrating their outputs into client-ready narratives.
Benefits:
We offer a comprehensive benefits package designed to support you as an individual. Our standard benefits include 25 days annual leave, pension contribution, income protection and life assurance. In addition, there are a range of health & wellbeing, financial benefits and professional development opportunities. We have a hybrid approach to work and ask people to be in the office or with clients for 3 days per week. We appreciate you may have commitments outside of work and will consider flexible working applications - please highlight what you are looking for when you make your application. We are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We recognise that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients. We are proud to be a member of the Disability Confident scheme, certified as a Level 2 Disability Confident Employer. We provide an inclusive and accessible recruitment process. Your application will be reviewed by someone from our Talent Team who will be in touch either way to let you know the outcome. Ready to have an impact? Apply now!
Senior Research Executive - Ipsos Karian & Box in London employer: Ipsos
Contact Detail:
Ipsos Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Executive - Ipsos Karian & Box in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Ipsos Karian & Box on LinkedIn. Ask them about their experiences and any tips they might have for landing the Senior Research Executive role. Personal connections can give you insights that a job description just can't.
✨Tip Number 2
Show off your skills in action! If you’ve got a portfolio of data visualisations or reports, make sure to share them during interviews. This is your chance to demonstrate how you turn complex data into compelling narratives that influence decisions.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your knowledge of employee listening programmes and be ready to discuss how you've used quantitative and qualitative data in past projects. The more prepared you are, the more confident you'll feel.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Ipsos Karian & Box.
We think you need these skills to ace Senior Research Executive - Ipsos Karian & Box in London
Some tips for your application 🫡
Tailor Your Narrative: Make sure to customise your application to highlight how your experience aligns with the role. Use specific examples from your past work that showcase your analytical skills and ability to turn data into compelling narratives.
Showcase Your Visualisation Skills: Since this role involves creating engaging visual outputs, include samples of your previous work or describe your experience with tools like DisplayR. This will help us see your creativity in action!
Be Clear and Concise: When writing your application, keep it straightforward. We love clarity! Make sure your points are easy to understand and directly relate to the job description. Avoid jargon unless it's relevant.
Highlight Collaboration Experience: This role is all about teamwork, so don’t forget to mention your experience working with multidisciplinary teams. Share examples of how you’ve collaborated with data scientists, designers, or project managers to achieve great results.
How to prepare for a job interview at Ipsos
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects involving employee data. Be ready to discuss specific examples where you turned complex findings into actionable insights. This will show your analytical skills and ability to influence decisions.
✨Visualisation is Key
Since the role involves creating engaging visual outputs, prepare a few examples of your work with data visualisation tools like DisplayR. Practice explaining how these visuals helped convey your narrative and influenced stakeholders.
✨Collaborate and Communicate
Highlight your experience working in multidisciplinary teams. Be prepared to share how you’ve collaborated with data scientists, designers, and project managers to shape research outputs. Strong communication skills are essential, so practice articulating your thoughts clearly.
✨Stay Current with AI Tools
Familiarise yourself with the latest AI tools that can enhance data analysis and reporting. Be ready to discuss how you've used AI in your previous roles to improve efficiency and insight generation, as this is a key aspect of the position.