Product Data Analyst: Insights & Dashboards in London

Product Data Analyst: Insights & Dashboards in London

London Full-Time 40000 - 50000 £ / year (est.) No working from home possible
SumUp

At a Glance

  • Tasks: Generate insights and reports to support decision-making across teams.
  • Company: Join SumUp, a dynamic company in the heart of London.
  • Benefits: Enjoy private health insurance and generous time off.
  • Other info: Be part of a diverse team with exciting growth opportunities.
  • Why this job: Make an impact by translating complex data into actionable insights.
  • Qualifications: Strong SQL skills and experience with BI tools like Tableau.

The predicted salary is between 40000 - 50000 £ per year.

SumUp is seeking a Data Analyst to join the Consumer tribe in London. This role involves generating insights and reporting, supporting decision-making processes across teams. You'll own key performance metrics and collaborate with cross-functional teams.

The ideal candidate has strong SQL skills, experience with BI tools like Tableau, and is eager to translate complex data into clear, actionable insights.

Join a diverse team and enjoy benefits including private health insurance and generous time off.

Product Data Analyst: Insights & Dashboards in London employer: SumUp

At SumUp, we pride ourselves on being an excellent employer that fosters a collaborative and inclusive work culture in the heart of London. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment where your insights can drive impactful decisions. With benefits like private health insurance and generous time off, we ensure our team members feel valued and empowered to thrive both personally and professionally.

SumUp

Contact Details:

SumUp Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Product Data Analyst: Insights & Dashboards 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 Data Analyst: Insights & Dashboards 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 Data Analyst: Insights & Dashboards 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 Data Analyst: Insights & Dashboards in London

SQL
Business Intelligence (BI) Tools
Tableau
Data Analysis
Insight Generation
Reporting
Collaboration

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.