Values Value

Values Value is a recruiting company with expertise in game development and subscription-based mobile products. We are currently looking for an experienced Marketing Analytics Lead for a fast-growing, self-sustaining company building and scaling a portfolio of subscription-based mobile products. They are the creators of one of the largest microlearning app, which reached market leadership in ~1,5 year. The company grows fast, makes decisions based on numbers, and is building a “next-level” organization where automation and platformization remove routine work and leave teams focused on high-impact problems.

As the new Marketing Analytics Lead, you will build and lead a centralized marketing analytics function and become a strategic partner to Marketing, User Acquisition, Monetization, and Leadership, driving growth and ROI through measurement, experimentation, insights, and strong data foundations.

For which tasks (responsibilities)?

Strategy & Function Building

• Define the vision and roadmap of marketing analytics aligned with growth and monetization goals.
• Establish best practices for analysis, experimentation, and reporting.

Team Leadership

• Lead, mentor, and develop a team of analysts (2–3+), set standards and workflows, manage priorities in a multi-stakeholder environment.

Measurement, KPIs & Attribution

• Build and continuously improve measurement frameworks, KPI systems, and attribution approaches across UA → monetization funnels.
• Ensure consistent definitions and correct interpretation of results across teams.

Performance Analytics at Scale

• Analyze multi-channel campaign performance and provide clear insights on efficiency, incrementality, and ROI across networks (Google, Meta, TikTok, ASA, etc.).

BI & Executive Reporting

• Design and develop dashboards and executive-level reporting for marketing and monetization.
• Drive stakeholder adoption of insights through clear narratives and data storytelling.

Data Quality & Consistency

• Own data-quality “sanity checks”: validation, consistency, governance across multiple data sources.
• Partner with Data Platform/Engineering understanding the data model and ensure it supports marketing analytics needs.

Experimentation & Impact

• Lead A/B testing and experimentation strategy (acquisition flows, pricing, funnels), ensuring statistical rigor and actionable outcomes.
• Run segmentation and cohort analysis to improve targeting, personalization, and LTV.

Advanced Analytics & Forecasting

• Apply statistical methods for trend detection, forecasting, and strategic planning support.

   

What kind of professional are we looking for?

• 5+ years in analytics with a strong focus on marketing + product monetization for subscription apps.
• Experience leading analytics in a multi-product / multi-app environment.
• Hands-on UA analytics across networks: Google Ads, TikTok, Meta, Apple Search Ads (and similar).
• Deep understanding of UA, attribution, and monetization (subscriptions, IAP, Web2App/Web2Web).
• Strong understanding of creative production flows and the ad lifecycle tied to UA performance.
• Strong experimentation / A/B testing background (design → execution → analysis → business impact).
• Advanced skills in BI/data visualization (Tableau / Superset / Power BI / Looker or similar).
• Experience with product & marketing analytics platforms (Google Analytics, Amplitude or similar).

• Strong cohort/funnel/segmentation and LTV modeling skills.

  Nice to have

  • Cloud analytics stack: AWS (Athena, S3); GCP is a plus.
  • RDBMS knowledge: schema design, indexing, transactional/payment data.
  • Predictive modeling and forecasting.
     

Why do we enjoy working here?

• Market-leading product: one of the largest microlearning apps, achieved leadership fast.
• Self-sustaining company with strong revenue from current products (no “money burning”).
• CEO with proven track record building a similar business at $300M+ ARR scale.
• “Next-level” organization: automation + platformization removes routine work.
• Culture: x1000 mindset, speed & efficiency, decisions by numbers, ownership, experiments.
• High-impact leadership role: influence growth strategy, drive analytics standards, lead a team.
• Work format: remote or office-based (office in Cyprus / co-working in Poland).
• Flexible schedule, equipment provided, paid vacation/sick leave, health insurance in Cyprus, bonus system.