At a Glance
- Tasks: Transform employee data into impactful narratives and visualisations for major clients.
- 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: Hybrid work model with opportunities for professional development and a commitment to diversity.
- Why this job: Make a real impact on FTSE100 organisations while collaborating with diverse teams.
- Qualifications: Strong analytical skills and experience in employee research data analysis.
The predicted salary is between 40000 - 50000 £ per year.
Are you a sharp insight analyst 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 an Insight Analyst 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.
- 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.
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.
Senior Research Executive - Ipsos Karian & Box employer: Ipsos in the UK
Contact Detail:
Ipsos in the UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Executive - Ipsos Karian & Box
✨Tip Number 1
Network like a pro! Reach out to current employees at Ipsos Karian & Box on LinkedIn. Ask them about their experiences and any tips they might have for landing the role. Personal connections can give you insights that job descriptions just can't.
✨Tip Number 2
Prepare for those interviews by practising your storytelling skills. You’ll need to turn complex data into compelling narratives, so think of examples from your past work where you've done just that. Make it relatable and engaging!
✨Tip Number 3
Show off your analytical skills during the interview! Be ready to discuss specific methodologies you've used in previous roles, especially around employee listening programmes. The more you can demonstrate your expertise, the better.
✨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
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Research Executive role. Highlight your experience with employee research data and how you've turned insights into compelling narratives that influence decision-making.
Showcase Your Skills: Don’t forget to mention your proficiency in R, advanced Excel, and any experience with DisplayR. We want to see how you’ve used these tools to create engaging visualisations and narrative-led reports in your previous roles.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language to explain your analytical skills and how you’ve collaborated with multidisciplinary teams to drive behaviour change.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates regarding your application status.
How to prepare for a job interview at Ipsos in the UK
✨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 prowess 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 stories about how you 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 insight generation. Be ready to discuss how you've used AI in your previous roles to improve efficiency and deliverables, as this aligns with the company's focus on innovation.