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Open nowPosted 225 days ago

Data Analyst

Startup Talents179 open roles

Where
London, City of London, United Kingdom
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Your applicationOpen nowData AnalystStartup Talents · London, City of London, United Kingdom

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Startup Talents's own form.

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 225 days ago

The posting

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. With 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 You will : 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. 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) Benefits 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, AirPods, 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 Flexible work arrangements Professional development budget Collaborative, fast-paced environment Opportunity to directly contribute to the growth of our [industry/product] Recruitment process : Recruiter/HR interview. Data Manager interview Final Interview - CEO

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