Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Explore data ecosystems and deliver actionable insights for product development.
- Company: Leading training platform in the UK with a focus on innovation.
- Benefits: Flexible working model, competitive salary, private health insurance, and fitness gear allowances.
- Why this job: Make a real impact by driving insights that enhance products for runners.
- Qualifications: 3+ years of data analytics experience and advanced SQL skills.
- Other info: Join a dynamic team with opportunities for personal and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading training platform in the UK is seeking an experienced Data Analyst to explore data ecosystems and deliver actionable insights. You will build high-quality data models and dashboards, collaborating with stakeholders across the business.
The ideal candidate should have at least 3 years of experience in data analytics and advanced SQL skills.
This role includes a flexible working model, competitive salary, and numerous benefits including private health insurance and annual allowances for fitness gear.
Data Analyst: Drive Product Insights for Runners employer: Runna
Contact Detail:
Runna Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst: Drive Product Insights for Runners
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the data analytics field. They can provide insider info about the company culture and even refer you for the role, which can give you a leg up.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data models and dashboards. This is your chance to demonstrate your advanced SQL skills and how you can deliver actionable insights that drive product decisions.
✨Tip Number 3
Prepare for the interview by brushing up on common data analysis scenarios. Think about how you would approach real-world problems and be ready to discuss your thought process with the interviewers.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Analyst: Drive Product Insights for Runners
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your advanced SQL skills in your application. We want to see how you can manipulate and analyse data, so don’t hold back on showcasing your experience with complex queries and data models.
Tailor Your Experience: When writing your application, tailor it to the role of Data Analyst. We’re looking for someone who can deliver actionable insights, so include examples of how you've done this in previous roles. Specifics are key!
Collaborate Like a Pro: Since this role involves working with various stakeholders, mention any collaborative projects you've been part of. We love to see how you’ve worked with others to drive product insights and improve outcomes.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important details about the role!
How to prepare for a job interview at Runna
✨Know Your Data
Before the interview, brush up on your data analytics skills, especially SQL. Be prepared to discuss specific projects where you've built data models or dashboards. This will show that you not only understand the theory but can apply it in real-world scenarios.
✨Understand the Business
Research the training platform and its target audience, particularly runners. Familiarise yourself with their products and how data insights can drive improvements. This knowledge will help you tailor your answers and demonstrate your genuine interest in the role.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems using data. Practice articulating your thought process clearly. Use the STAR method (Situation, Task, Action, Result) to structure your responses, showcasing your analytical skills and decision-making abilities.
✨Showcase Collaboration Skills
Since the role involves working with various stakeholders, be ready to discuss how you've successfully collaborated in the past. Share examples of how you’ve communicated complex data insights to non-technical team members, highlighting your ability to bridge the gap between data and business needs.
