Data Analyst in City of Westminster

Data Analyst in City of Westminster

City of Westminster Full-Time 36000 - 44000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Dive deep into data, solve complex problems, and generate impactful insights.
  • Company: Join Ipsos, a leading global research company with a collaborative culture.
  • 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: Empower yourself to work autonomously on cutting-edge digital audience measurement tools.
  • Qualifications: Experience in data analysis, Python, SQL, and strong teamwork skills required.

The predicted salary is between 36000 - 44000 £ per year.

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.

  • 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.
  • 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 (Big Query) 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.

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!

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.

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Data Analyst in City of Westminster employer: Ipsos S.A.

Ipsos is an exceptional employer that fosters a collaborative and innovative work culture, particularly within the dynamic field of audience measurement. Employees benefit from comprehensive training and development opportunities, ensuring continuous growth in their careers while working alongside talented professionals in a data-driven environment. Located in the UK, Ipsos offers a unique chance to contribute to cutting-edge research initiatives that shape industry standards, making it a rewarding place for those seeking meaningful employment.

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Contact Details:

Ipsos S.A. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst in City of Westminster

Get Involved in Data Science Meetups

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Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst at Ipsos S.A..

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Ipsos S.A..

Apply Directly through Our Website

When you find a suitable opening like Data Analyst at Ipsos S.A., make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Analyst in City of Westminster

Python
SQL
BigQuery
Data Analysis
Data Quality Investigations
User Behaviour Analysis
Funnel Analysis

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Ipsos S.A., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Ipsos S.A.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Ipsos S.A.

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Ipsos S.A.!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.