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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - **Company:** Ipsos S.A. - **Location:** London, UK - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Application Programming Interfaces (APIs), Data Analysis, Big Data, BigQuery, Data Visualization, Python (Programming Language), Standard Sql, SQL Databases, Data Processing, Google Cloud, Application Enhancement Tool - **Published:** September 9, 2026 - **Apply:** https://ecqf.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/IpsosCareers/job/8637 ## About the Role * A Background and similar experience in a market research agency. * Solid experience in data analysis, with a strong focus on data quality investigations and issue resolution. * Skilled in deep-dive user behaviour analysis, including funnel analysis, cohort studies, user segmentation, and demographic analysis to uncover actionable insights. * High proficiency in leveraging SQL (BigQuery) and Python to explore, clean, and analyse very large datasets. * Practical experience using AI-powered tools for research, data analysis, and automation to enhance efficiency and depth of insight. * Strong Excel skills for data manipulation and ad-hoc analysis. * Proven ability to translate complex data problems and analytical results into clear, actionable recommendations for internal stakeholders. * Experience creating compelling data visualisations and reports to communicate findings effectively. * A proactive and autonomous mindset, with the ability to identify and pursue impactful analytical questions without direct supervision. * Excellent teamwork skills combined with the self-starting discipline to manage your own priorities and tasks. * Knowledge of APIs and data collection/market research principles. ## Description Ipsos's Audience measurement team is recruiting a Data Analyst. If you are a self-starter who loves to dive deep into data, solve complex problems, and see your analysis make a real-world impact, this is the perfect opportunity for you. You will be empowered to manage your own tasks and explore data, all while being a vital part of a collaborative and forward-thinking team. This role sits in Ipsos's Audience Measurement team that uses a deep understanding of people to make sense of audiences and how they consume media. We use these insights to influence media strategy, helping clients to answer crucial questions, such as how to target audiences, maximise attention across platforms, enhance audience experience, and demonstrate or increase audience value. What is in it for you? This is a fantastic opportunity to work on our flagship digital audience measurement tool. It is a unique opportunity that empowers to work autonomously. You will be working on UKOM, the UK body for online audience measurement, which appointed Ipsos as the new supplier of the UK industry standard for online audience measurement. The new approach, Ipsos iris, has a single-source high quality nationally representative panel at its heart and will provide the industry with an unrivalled understanding of online behaviour across PC, smartphone and tablet. The Role We are looking for a curious and proactive Data Analyst to join the Ipsos iris team, the industry standard for online audience measurement in the UK. In this role, you are expected to turn our rich, large-scale data into actionable insights that drive business decisions. You will be a key player in understanding our user's online behaviour, uncover trends, patterns, and stories that will provide value for our clients. On a day-to-day basis you will be: * Using your Python and SQL coding skills * Conducting custom data analysis, pulling the data from Big query and Google Cloud. * Analysing data collected from different measurement resources * Understanding the data workflow and the sources of data * Carrying out data analysis, interpreting trends and creating compelling story telling (using the data) * Generating insights and reports generation * Daily and monthly validation within the deadline * Coordinate between the teams - especially between commercial and data science teams to prevent any delays in providing data and communication to the clients. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Making Data Warehouses fast. 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