York, England, United Kingdom and 2 more (Hybrid)
Trending
Job Description
Are you an early‑career data enthusiast who loves turning survey responses into clear, actionable insights? Do you enjoy cleaning and shaping data, automating reports, and working with cross‑functional teams to improve employee experience across large organisations? Join a specialist team where your technical skills make real impact.
About the role:
Join Ipsos Karian & Box as a Junior Data Analyst and help shape how we collect, process and present employee experience data for FTSE100 and other major clients. Working in a multidisciplinary team of business psychologists, consultants, data scientists, designers and project managers, you’ll clean and transform survey datasets, build schemas and automated reporting pipelines, and produce concise summary tables and visual outputs for internal teams and clients. Day‑to‑day tasks include preparing datasets, documenting project requirements, developing data cleaning processes, creating automated results tables and presenting data clearly to non‑technical stakeholders. This is a hands‑on role ideal for someone who wants to develop technical analysis skills (Excel, Python/R, DisplayR) and learn best practice in survey workflows while contributing to projects that directly improve workplace experience.
About you:
- Strong analytical mindset with comfort handling quantitative survey data and attention to data quality.
- Proficient in Microsoft Excel and experienced with at least one scripting language for data work (Python or R).
- Able to clean, transform and join datasets from multiple sources and document schemas/definitions.
- Clear communicator who can explain data findings to non‑technical colleagues and support project teams.
- Organised and able to prioritise work to meet deadlines while managing own workload.
- Collaborative team player who shares knowledge and works across functions.
- Proficiency in AI use and adoption to speed routine tasks (e.g., data preparation, code snippets, synthesis) and improve deliverables.
Essential skills:
- Strong numerical, analytical and problem‑solving ability.
- Advanced Excel skills (pivot tables, formulae, data cleaning).
- Practical experience with Python or R for data manipulation and analysis.
- Experience cleaning, transforming and joining survey datasets.
- Ability to produce clear summary tables and basic visualisations for reporting.
- Good written and verbal communication; ability to present findings to non‑technical audiences.
- Organisational and time‑management skills with a focus on accuracy and data governance.
- Familiarity with survey workflows, questionnaire tooling and survey metadata/schema design.
- Experience automating pipelines or reporting (scripting, scheduled jobs, ETL).
- Exposure to DisplayR or other report‑building/visualisation platforms.
- Background or interest in HR research / employee listening programmes.
- Knowledge of basic statistical concepts or experimental design.
- Experience working with multidisciplinary teams (data scientists, analysts, project managers).
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 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!
About the Team
At Ipsos, we collaborate with the world’s leading organisations to help them grow the right talent, fulfill their brand promises, and optimise financial outcomes.
From corporate strategy to operational excellence, we cover the entire experience landscape. Our research, advanced analytics and advisory solutions enable clients to predict and adapt to change, create enriched, improved, and differentiated experience ecosystems.
Our approach is deeply human-centric, and our global network of expert teams have a rigorous understanding of CX and EX that’s backed by decades of cultural knowledge and industry experience.
So, while our work is powered by insights and driven by technology,it’s always all about people
About Us
Ipsos is one of the world’s largest research companies and currently the only one primarily managed by researchers, ranking as a #1 full-service research organization for four consecutive years. With over 75 different data-driven solutions, and presence in 90 markets, Ipsos brings together research, implementation, methodological, and subject-matter experts from around the world, combining thematic and technical experts to deliver top-quality research and insights. Simply speaking, we help the biggest companies solve some of their biggest problems, serving more than 5000 clients across the globe by providing research, data, and insights on their target markets. And we are proud of our continuous efforts in making Ipsos the best place to work!
Job Info
- Job Identification 7268
- Job Category Data Processing, Analysis & Reporting
- Posting Date 03/06/2026, 09:49 AM
- Locations York, England, United Kingdom London, England, United Kingdom Manchester, England, United Kingdom (Hybrid)
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