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, supportive environment with opportunities for growth and learning.
- Why this job: Be part of a fast-growing industry and make a real impact on crypto products.
- Qualifications: Curiosity and analytical mindset; SQL skills and teamwork are key.
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.
- You’ll work closely with more senior data staff while gradually taking on more ownership as you develop.
- 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
- The company values learners with a strong analytical mindset. The ideal candidate is curious, proactive, and excited to grow into broader responsibilities over time.
- You don’t need to be an expert, just someone who loves solving problems, enjoys exploring data, and is motivated to build their skill set in a supportive, high-autonomy environment.
- 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 employer: Startup Talents
As a leading cryptocurrency launchpad based in London, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to take ownership of their projects and drive impactful results. With a strong focus on personal and professional growth, we offer extensive training opportunities in cutting-edge technologies, alongside competitive benefits such as healthcare, retirement plans, and fully funded attendance at industry conferences. Join us to be part of a fast-paced environment where your contributions directly influence the future of the crypto landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨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 Startup Talents!
✨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 Data Analyst at Startup Talents.
✨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 Startup Talents.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at Startup Talents, 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 Data Analyst
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 Startup Talents, 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 Startup Talents. 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 Startup Talents
✨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 Startup Talents!
✨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.
