At a Glance
- Tasks: Support data initiatives, analyse trends, and present insights to drive product decisions.
- Company: Join a leading cryptocurrency launchpad revolutionising the Solana blockchain.
- Benefits: Enjoy competitive salary, healthcare, remote work flexibility, and awesome perks.
- Other info: Dynamic, collaborative environment with opportunities for growth and learning.
- Why this job: Be part of a fast-growing industry and make a real impact on product development.
- Qualifications: Curiosity and analytical mindset; SQL skills and experience with data visualisation tools preferred.
The predicted salary is between 36000 - 60000 £ per year.
The employer is a cryptocurrency launchpad for the Solana blockchain that enables users to create tokens and trade them immediately on the platform, as well as to launch them onto decentralized exchanges. Over 6 million meme coins launched on the platform, it is one of the fastest-growing crypto applications and one of the biggest drivers of the explosive growth in memecoins on the planet.
MISSIONS
- As a Data Analyst, your role is to support data initiatives across the company's product, helping teams make informed decisions through clear analysis, reporting, and insight generation.
- Assist in designing, running, and analyzing A/B tests to help improve our consumer product experience.
- Investigate product metrics to uncover trends, issues, and opportunities.
- Build, update, and maintain dashboards to track KPIs and present insights.
- Write SQL queries to extract and analyze data from our data warehouse.
- Support the development of basic models or analytical frameworks to understand user behavior.
- Collaborate with product and engineering teams to support data needs.
- Present clear, concise insights to stakeholders across the company.
- Contribute to improving data processes, documentation, and best practices.
Requirements
- 1–2+ years of experience in a data analyst, BI analyst, or data-related role (internships and project work count).
- Solid SQL skills (BigQuery experience is a plus).
- Familiarity with Python or R for data analysis.
- Experience building dashboards or visualisations (e.g., Looker, Grafana, Tableau).
- Understanding of basic A/B testing concepts and experimentation frameworks.
- Ability to transform data into clear insights and actionable recommendations.
- Strong communication skills and willingness to collaborate closely with cross-functional teams.
Preferred Qualifications
- Experience working with consumer or product analytics data.
- Familiarity with tools like FullStory or event-tracking platforms.
- Exposure to statistical concepts (hypothesis testing, confidence intervals, etc.).
- Experience with data pipelines or ETL tools is a plus.
- Interest in cryptocurrency, blockchain, fintech, or consumer tech.
- Curiosity about machine learning concepts (no deep expertise required).
Contract: Permanent role (Hybrid remote) in London (UK) or New York (USA). Remote first company: flexibility to work fully remotely or at an office location of your preference within the European Union.
Work essentials: MacBook Pro, iPhone, AirPods, screens, headsets, and cables are provided on Day 1.
Benefits: healthcare and life insurance, retirement plan, sponsored transportation, gym, lunch card, home office equipment, and other perks. Competitive salary and equity/tokens package. Collaborative, fast-paced environment. Opportunity to directly contribute to the growth of our industry/product.
Data Analyst in London employer: Startup Talents
Contact Detail:
Startup Talents Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. The more people you know, the better your chances of landing that Data Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, dashboards, and any A/B tests you've run. This will give employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on SQL and data visualisation tools. Be ready to discuss your analytical mindset and how you've tackled problems in the past. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in our company and the exciting world of cryptocurrency. Your passion could be the key to landing that job!
We think you need these skills to ace Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Analyst role. Highlight your SQL skills, any experience with A/B testing, and your ability to turn data into insights. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for data analysis. Share why you're excited about the role and how your curiosity drives you to solve problems. Let us know why you want to be part of our fast-growing crypto application!
Showcase Your Projects: If you've worked on relevant projects or internships, make sure to include them in your application. We love seeing practical examples of your work, especially if they involve building dashboards or using tools like Python or R. It helps us understand your hands-on experience!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re proactive and keen to join our team!
How to prepare for a job interview at Startup Talents
✨Know Your SQL Inside Out
Since solid SQL skills are a must for this Data Analyst role, make sure you brush up on your SQL knowledge. Practice writing queries that extract and manipulate data, as you might be asked to demonstrate your skills during the interview.
✨Showcase Your Analytical Mindset
Be prepared to discuss how you've approached data analysis in the past. Think of specific examples where you uncovered trends or provided actionable insights. This will show your curiosity and problem-solving abilities, which are key traits the company is looking for.
✨Familiarise Yourself with A/B Testing
Understanding A/B testing concepts is crucial for this position. Brush up on the basics and be ready to explain how you would design an A/B test to improve a product experience. This will demonstrate your ability to contribute to the company's data initiatives.
✨Communicate Clearly and Confidently
Strong communication skills are essential for collaborating with cross-functional teams. Practice presenting your insights clearly and concisely, as you may need to explain complex data findings to stakeholders who aren't data-savvy.