Product Analyst, Consumer Growth & Insights (Stock Options) in London

Product Analyst, Consumer Growth & Insights (Stock Options) in London

London Full-Time 45000 - 60000 £ / year (est.) No working from home possible
SumUp

At a Glance

  • Tasks: Analyse user behaviour and measure product impact through data analytics.
  • Company: Join SumUp, a leading fintech company in London.
  • Benefits: Stock options, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and career development.
  • Why this job: Make a real impact on consumer growth with data-driven insights.
  • Qualifications: Strong SQL skills and experience with BI tools; interest in AI/ML is a plus.

The predicted salary is between 45000 - 60000 £ per year.

Sum Up is seeking a Product Analyst to join the Consumer tribe in London.

You will partner with Product Managers, Designers, and Engineers to understand user behavior, measure product impact, and inform strategy through robust data analytics.

You will own core metrics, run funnel/cohort analyses, design and evaluate experiments, and build dashboards that stakeholders rely on.

Strong SQL and BI tool experience are essential, with an interest in AI/ML for insights.

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Product Analyst, Consumer Growth & Insights (Stock Options) in London employer: SumUp

At SumUp, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture in the heart of London. As a Senior iOS Engineer, you'll enjoy generous leave, comprehensive health insurance, and the chance to grow your skills while making a meaningful impact in the fintech space. Join us to be part of a diverse team dedicated to enhancing consumer banking experiences and shaping the future of financial technology.

SumUp

Contact Details:

SumUp Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Product Analyst, Consumer Growth & Insights (Stock Options) 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 SumUp!

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 Product Analyst, Consumer Growth & Insights (Stock Options) at SumUp.

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 SumUp.

Apply Directly through Our Website

When you find a suitable opening like Product Analyst, Consumer Growth & Insights (Stock Options) at SumUp, 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 Product Analyst, Consumer Growth & Insights (Stock Options) in London

Data Analytics
SQL
Business Intelligence (BI) Tools
User Behaviour Analysis
Funnel Analysis
Cohort Analysis
Experiment Design

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 SumUp, 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 SumUp. 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 SumUp

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 SumUp!

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.