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As a Data Analyst, your role is to <\/span><\/span>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
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- Assist in designing, running, and analyzing A/B tests to help improve our consumer product experience
<\/span><\/li> - Investigate product metrics to uncover trends, issues, and opportunities
<\/span><\/li> - Build, update, and maintain dashboards to track KPIs and present insights
<\/span><\/li> - Write SQL queries to extract and analyze data from our data warehouse
<\/span><\/li> - Support the development of basic models or analytical frameworks to understand user behavior
<\/span><\/li> - Collaborate with product and engineering teams to support data needs
<\/span><\/li> - Present clear, concise insights to stakeholders across the company
<\/span><\/li> - Contribute to improving data processes, documentation, and best practices
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<\/div><\/span>RequirementsThe 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 analysisExperience building dashboards or visualisations (e.g., Looker, Grafana, Tableau)Understanding of basic A/B testing concepts and experimentation frameworksAbility to transform data into clear insights and actionable recommendationsStrong communication skills and willingness to collaborate closely with cross -functional teamsPreferred QualificationsExperience working with consumer or product analytics dataFamiliarity with tools like FullStory or event -tracking platformsExposure to statistical concepts (hypothesis testing, confidence intervals, etc.)Experience with data pipelines or ETL tools is a plusInterest in cryptocurrency, blockchain, fintech, or consumer techCuriosity about machine learning concepts (no deep expertise required)BenefitsContract : 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 packageFlexible work arrangementsProfessional development budgetCollaborative, fast -paced environmentOpportunity to directly contribute to the growth of our [industry/product]Recruitment process : Recruiter/HR interview.Data Manager interviewFinal Interview - CEO
