Data Analyst

SBC Performance drives scalable growth for brands ready to expand globally.

Working across eCommerce, health & wellness, education, and entertainment, our team helps brands acquire customers faster and scale across 26+ global markets. We combine data-driven paid media, performance creative, and advanced analytics to turn marketing into a predictable revenue engine.

Trusted by 200+ companies, managing $150M+ in ad spend.

Scale faster. Grow smarter.

We’re looking for a Data Analyst who transforms data into growth opportunities and drives high-impact business decisions.

Key Responsibilities

• Build and optimize full user funnels: landing pages, onboarding, activation flows, paywalls, CRM, and retention loops
• Analyze user behavior, identify bottlenecks, and run A/B tests to improve conversion rates
• Develop positioning and benefit-driven messaging for new features and updates
• Ensure messaging consistency across ads, landing pages, product screens, and CRM
• Lead GTM strategies for feature releases and product rollouts
• Prepare detailed briefs and collaborate closely with product, marketing, design, analytics, and creative teams
• Conduct user research, interviews, surveys, and JTBD analysis
• Track market and competitor trends in web & mobile apps, AI, and EdTech
• Own lifecycle flows: onboarding, activation, reactivation, upsell, churn reduction
• Monitor key funnel metrics and prepare performance reports
• Produce briefs for creative assets: landing pages, paywalls, product videos, ad creatives
• Translate complex product features into simple, compelling visuals and copy

Requirements

• 2+ years of experience as a Data Analyst, Data Engineer, or in a similar role in web marketing or product analytics;
• Proficiency in SQL and experience working with large datasets;
• A deep understanding of key marketing metrics (CAC, LTV, ROAS, payback period);
• Experience with cohort analysis, LTV modeling, and revenue forecasting;
• Experience using Tableau/PowerBI/Metabase/etc. to create dashboards and visualize data;

Nice to have

• Knowledge of marketing analytics and attribution
• Experience with subscription-based business models
• Development of predictive models for evaluating marketing investments
• Ability to take ownership and deliver end-to-end solutions

What We Offer

• Remote work
• Competitive compensation
• Flexible working hours (start between 9:00–11:00 CET)
• All necessary equipment
• Paid vacation and sick leave
• Educational support: reimbursement for certifications, courses, and training
• Company events and internal knowledge-sharing activities
• Transparent communication and an open feedback culture

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