At a Glance
- Tasks: Transform large-scale data into actionable insights that drive business decisions.
- Company: Join Ipsos, a leader in digital audience measurement with a focus on innovation.
- Benefits: Enjoy 25 days annual leave, flexible working, and professional development opportunities.
- Other info: Hybrid work model with a commitment to diversity and inclusion.
- Why this job: Make a real impact by uncovering trends in online behaviour and shaping industry standards.
- Qualifications: Experience in data analysis, proficiency in SQL and Python, and strong teamwork skills.
The predicted salary is between 35000 - 45000 £ per year.
This is a fantastic opportunity to work on our flagship digital audience measurement tool. It is a unique opportunity that empowers you 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.
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 BigQuery 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 storytelling (using the data)
- Generating insights and reports generation
- Daily and monthly validation within the deadline
- Coordinating between the teams – especially between commercial and data science teams to prevent any delays in providing data and communication to the clients
About you:
- 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
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 realise 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 have a hybrid approach to work and ask people to be in the office or with clients for 3 days per week.
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 Level 1 Disability Confident Committed. We are dedicated to providing an inclusive and accessible recruitment process.
Data Analyst - Audience Measurement in London employer: Ipsos in the UK
Ipsos is an exceptional employer that champions a culture of autonomy and innovation, particularly in the role of Data Analyst for our flagship digital audience measurement tool. With a commitment to employee growth, we offer comprehensive benefits including 25 days annual leave, flexible working options, and professional development opportunities, all within a diverse and inclusive environment that values every voice. Join us in London to turn rich data into actionable insights and make a meaningful impact in the world of online audience measurement.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Audience Measurement in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at Ipsos or similar companies. A friendly chat can open doors and give you insights that might just help you land that Data Analyst role.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analysis projects, especially those using Python and SQL. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your coding skills and data analysis techniques. Use platforms like StudySmarter to refine your knowledge and get comfortable with the tools you'll be using in the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining the team and ready to dive into the exciting world of audience measurement.
We think you need these skills to ace Data Analyst - Audience Measurement in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your Python and SQL skills in your application. We want to see how you can turn data into actionable insights, so don’t hold back on showcasing your experience with data analysis and visualisation.
Tell Your Story:When writing your application, think about how you can tell a compelling story with your experiences. Use examples that demonstrate your ability to uncover trends and patterns in data, and how those insights have driven business decisions.
Be Proactive:We love a proactive mindset! In your application, mention instances where you've taken the initiative to solve complex data problems or pursued impactful analytical questions without being prompted. This will show us you're a self-starter.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this fantastic opportunity. Plus, we want to make sure you get all the details about the role and our company.
How to prepare for a job interview at Ipsos in the UK
✨Know Your Data Tools
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in data analysis and generating insights. This will show that you're not just familiar with the tools, but that you can leverage them effectively.
✨Understand the Audience Measurement Landscape
Familiarise yourself with UKOM and Ipsos Iris. Knowing the ins and outs of online audience measurement will help you demonstrate your genuine interest in the role. You could even mention recent trends or challenges in the industry to show you're engaged and informed.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical data problems or analyse a dataset. Practice explaining your thought process clearly and concisely. Use examples from your experience where you turned data into actionable insights, as this aligns perfectly with what they’re looking for.
✨Show Your Team Spirit
Since the role involves coordinating between teams, be prepared to discuss your teamwork experiences. Share examples of how you've collaborated with others, especially in a data-driven environment. Highlight your ability to communicate complex findings to non-technical stakeholders, as this is crucial for success in the role.
