Senior Data Analyst, Product and Business

TL;DR

Senior Data Analyst, Product and Business (Product and Business Analytics): Define product and business metrics, design rigorous experiments, and build governed analytics for an eSIM travel product with an accent on funnels, retention, experimentation, and revenue impact. Focus on connecting product data to financial outcomes, improving instrumentation and governance, and guiding roadmap prioritization through complex analysis.

Location: Remote within the United Kingdom or Spain. English is the main working language.

Company

hirify.global is a global eSIM product that helps travelers access affordable mobile data in more than 200 countries and regions.

What you will do

• Partner with product teams to define success metrics, design experiments, and evaluate feature impact.
• Develop product-level KPIs and connect product, operational, commercial, and customer experience metrics to business outcomes.
• Conduct deep-dive analyses of funnels, retention, cohorts, opportunities, and revenue impact.
• Collaborate with engineering on event taxonomy, tracking requirements, data quality, and governance.
• Build and maintain governed LightDash dashboards and support self-service analytics across cross-functional squads.
• Interpret metrics and experiment results with product leaders and inform roadmap prioritization and strategic decisions.

Requirements

• 4+ years of experience in product, commercial, data science, or quantitative analytics roles with senior-level impact.
• Deep product analytics experience in a B2C, marketplace, or transactional environment, including funnels, retention, user lifecycle, and revenue metrics.
• Strong experimentation expertise, including A/B testing, decision frameworks, and common failure modes.
• Strong SQL and Python or R skills, with regular hands-on analysis and query development.
• Experience with data visualization and BI tools such as LightDash, Looker, Tableau, or similar.
• Excellent communication skills, autonomy, structured problem-solving, and comfort working in ambiguity; professional English communication is required.

Nice to have

• Experience in marketplace, telecom, travel, or subscription and usage-based businesses.
• Experience with causal inference, experimentation tools, and product analytics platforms such as Amplitude, Mixpanel, or Firebase.
• Familiarity with dbt, LightDash, or similar semantic and BI layers.
• Experience using AI tools to accelerate exploration, code generation, and insight development.

Culture & Benefits

• Fully remote work in a distributed organization spanning more than 60 countries.
• Trust, ownership, autonomy, and limited bureaucracy.
• Opportunities to learn, take on new challenges, and make an impact from anywhere within the eligible locations.
• Full-time permanent employment with company benefits.