Data Analyst

• 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

Senior Data Analyst

• Propojovat svět dat a uživatelského výzkumu.
• Převádět otázky z výzkumu do datových hypotéz a datům naopak dodávat lidský kontext.
• Ověřovat hypotézy o chování uživatelů spolu s výzkumníky.
• Pracovat s nástroji jako Keboola, Snowflake a Databricks.
• Tvořit v Tableau přehledné a srozumitelné výstupy.
• Pomáhat týmům chápat, co data znamenají.
• Přetvářet insighty do doporučení, která ovlivňují směřování produktů.

Research Data Analyst – Insight, Storytelling

• Independently process and evaluate business data (ideally from several sources and through various tools)
• Analyze data and interpret the results in a wider context as a basis for important managerial decisions
• Active cooperation with several departments (product management, controlling, IT, alternative sales channels, marketing)

• Design, develop, and implement advanced analytics and AI use cases end-to-end, tailored to client needs.
• Perform in-depth data analyses (descriptive, diagnostic, predictive) on large datasets and support clients with clear, impactful insights and recommendations.
• Build, train, and validate machine learning models and AI solutions using state-of-the-art tools and frameworks.
• Interpret and visualize analytical results. Present complex findings clearly to both technical and non-technical client stakeholders.
• Work closely with clients to understand their business challenges and data landscape. Advise on analytics strategy, data management best practices, and opportunities to leverage emerging technologies.
• Coordinate project tasks among team members, ensuring timely delivery of high-quality results and mentoring junior analysts.

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Senior Data Analyst

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