Role overview

Qualifications

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)

Responsibilities

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

Key facts

Remote from: United Kingdom
Full time
Mid-level (2-5 years)
Data Analyst
English

Other skills

Collaboration
Communication
Teamwork
Proactivity
Analytical Thinking
Curiosity
Problem Solving

About the company

Startup Talents

Staffing & Recruiting

Startup Talents is a startup centric recruitment boutique. We assist with efficient recruitment and provide bespoke solutions for Scale Up Startups and drive readiness for the next critical milestone (investment/exit/acquisition)Our tailored and strategic direct approach sourcing execution, along with a thorough discovery of your unique environment drives our obsession for delivering recruitment efficiency, retention and ultimately confidence and visibility for all startups growth dynamics whether nationally or internationally.Contact us : hello@startuptalents.tech

Company details

Company typeStartup

IndustryStaffing & Recruiting

Company size2 - 10

Links

Website LinkedIn See all jobs

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Job description

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