Job Summary

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 apps, 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.

What are you working on?
Genres: Application
Platforms: Mobile

Team size and structure?
150 people

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.

What is important for us in a person?
Systems thinking with a strong understanding of growth economics and ROI trade-offs.

High ownership: can build/transform a function, not just “do analysis.”

Strong stakeholder management in a multi-customer environment (Marketing / UA / Monetization / Leadership).

Ability to translate analytics into clear business decisions and executive narratives.

Prioritization, resilience, and comfort working in a fast-scaling environment.

Proactive, independent, and structured problem-solving mindset.

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 / coworking in Poland).

Flexible schedule, equipment provided, paid vacation/sick leave, health insurance in Cyprus, bonus system.

The selection process
Screening with Values Value Recruiter

Interview with Hiring Manager (acting Head of BI & Analytics)

Interview with key stakeholders (Marketing / Monetization / Leadership) – optional based on process

Offer