Marketing Data Analyst: AI-Driven Growth Insights in London

Marketing Data Analyst: AI-Driven Growth Insights in London

London Full-Time 34650 - 42350 £ / year (est.) No working from home possible
Cafeyn

At a Glance

  • Tasks: Analyse B2C marketing data to drive growth and make data-driven decisions.
  • Company: Join Cafeyn, a forward-thinking company in London focused on AI-driven insights.
  • Benefits: Enjoy competitive pay, flexible working, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and career advancement.
  • Why this job: Be at the forefront of AI technology and influence marketing strategies.
  • Qualifications: Experience in data analysis and a passion for marketing insights.

The predicted salary is between 34650 - 42350 £ per year.

Cafeyn is seeking a Marketing Data Analyst to join our team in London.

You will own and analyze key B2C marketing data, helping Marketing understand performance, identify growth opportunities and make data-driven decisions.

You will build self-serve reporting and AI-powered data products while ensuring tracking remains accurate and compliant.

You will collaborate with Marketing, Product and Data stakeholders to drive growth strategy and autonomous data capabilities across the organization.

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Marketing Data Analyst: AI-Driven Growth Insights in London employer: Cafeyn

At Readly, we pride ourselves on being an exceptional employer, offering a dynamic and collaborative work environment in the heart of London. Our commitment to employee growth is evident through our supportive culture, competitive benefits including generous holiday allowances and mental health resources, and the opportunity to shape the future of digital content alongside some of the UK's leading brands. Join us to experience real ownership and autonomy while making a meaningful impact in a fast-growing international setting.

Cafeyn

Contact Details:

Cafeyn Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Marketing Data Analyst: AI-Driven Growth Insights in London

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Cafeyn!

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 Marketing Data Analyst: AI-Driven Growth Insights at Cafeyn.

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 Cafeyn.

Apply Directly through Our Website

When you find a suitable opening like Marketing Data Analyst: AI-Driven Growth Insights at Cafeyn, 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 Marketing Data Analyst: AI-Driven Growth Insights in London

Communication Skills
Problem-Solving Skills
SQL
Python
Attention to Detail
Automation
Data Governance

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 Cafeyn, 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 Cafeyn. 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 Cafeyn

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 Cafeyn!

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.