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- Tasks: Influence product strategy by defining metrics and analysing data with cross-functional teams.
- Company: Leading fintech company in London with a focus on innovation.
- Benefits: Opportunities for growth, impactful work, and a dynamic team environment.
- Why this job: Make a meaningful impact on product success from day one.
- Qualifications: Strong communication skills, data interrogation experience, and SQL knowledge.
The predicted salary is between 43200 - 72000 £ per year.
A leading fintech company in London seeks a Product Data Scientist to influence product strategy and success. This role involves collaborating with cross-functional teams to define metrics, collect data, and perform analyses. Strong communication and data interrogation skills, along with experience in SQL, are crucial. Join a dynamic environment that fosters growth and provides opportunities to make a meaningful impact from day one.
Product Data Scientist — Lead Product Metrics & ROI in London employer: Checkout Ltd
Contact Detail:
Checkout Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Data Scientist — Lead Product Metrics & ROI in London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those working at companies you're interested in. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analyses and metrics work. Use real-world examples to demonstrate how you've influenced product strategy in the past. This will make you stand out when we review candidates.
✨Tip Number 3
Prepare for the interview by brushing up on your SQL skills. We love seeing candidates who can talk through their thought process and problem-solving techniques. Practice common data-related questions to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our dynamic team.
We think you need these skills to ace Product Data Scientist — Lead Product Metrics & ROI in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Product Data Scientist role. Highlight your experience in SQL and any relevant projects that showcase your data interrogation skills.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about product strategy and how you can contribute to our success. Be specific about your past experiences and how they relate to the role.
Showcase Your Communication Skills: Since strong communication is key, make sure your application clearly conveys your thoughts. Use clear language and structure to demonstrate your ability to collaborate with cross-functional teams.
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application gets to the right people and shows us you're serious about joining our dynamic team!
How to prepare for a job interview at Checkout Ltd
✨Know Your Metrics
Before the interview, brush up on key product metrics and ROI concepts. Be ready to discuss how you’ve defined and measured success in previous roles, as this will show your understanding of the impact your work can have on product strategy.
✨Showcase Your SQL Skills
Prepare to demonstrate your SQL knowledge during the interview. You might be asked to solve a problem or analyse data on the spot, so practice writing queries and interpreting results. This will highlight your technical expertise and ability to interrogate data effectively.
✨Communicate Clearly
Strong communication skills are essential for this role. Practice explaining complex data insights in simple terms, as you’ll need to collaborate with cross-functional teams. Think of examples where you successfully communicated findings to non-technical stakeholders.
✨Emphasise Collaboration
This position involves working closely with various teams, so be prepared to discuss your experience in collaborative environments. Share specific examples of how you’ve worked with others to achieve common goals, showcasing your ability to influence product strategy through teamwork.
