
Monetization Analyst - Leaply at SKELAR (Kyiv, Ukraine)
SKELAR· Kyiv, Ukraine·
Role details
SKELAR at a glance
Ukrainian venture builder that co-founds and scales global consumer tech companies, backing each with capital, a shared operating platform, and a network of operators.
SKELAR is a venture builder that co-founds consumer tech startups and helps them scale into global category leaders. It supplies each business with capital from day one, a shared operating platform (finance, legal, hiring, admin), and a network of experienced operators, while founders keep control of every decision. Its products are its portfolio companies, mostly direct-to-consumer subscription apps across EdTech, mental health, petcare, and fashion tech.
Job description
Hi! We’re Leaply — a fast-growing ecosystem of digital and physical products designed to help people build healthier habits and lead better lives. We launched in 2024 and have already seen explosive growth — 10x revenue in the past six months — with strong traction across the US, Europe, and beyond. At Leaply, we challenge traditional career paths — we value ownership over job titles, and impact over process. As we scale, we’re looking for a sharp, data-driven Analyst to refine our ops team, enhance team performance, and implement scalable systems.
Role Overview: As an Analyst, you will be the strategic bridge between raw data and operational excellence. You will join our Operations team to drive efficiency across three key pillars: Monetization, Support, and Online reputation. Your role goes beyond just building reports; you will be expected to uncover hidden patterns, propose data-backed solutions, and actively participate in their implementation, including our upcoming AI-driven automation initiatives.
Technical Stack, that you will work with:
- Data Warehouse: Google BigQuery (Advanced SQL is a must).
- Visualization: Tableau (Creating intuitive, actionable executive dashboards).
- Product Analytics: Amplitude (Analyzing user behavior and funnel performance).
- Innovation: Implementation and optimization of AI/LLM tools for operational workflows.
Key Responsibilities:
- Foundation Building & Data Architecture: As the first analyst in this direction, you will own the end-to-end data flow—from querying and structuring raw data in BigQuery to ensuring a "single source of truth" for the entire Ops department.
- Advanced Analytics & Modeling: Move beyond basic reporting. You will develop antifraud models to mitigate risks and design complex behavioral segmentations to understand user lifetime value and churn triggers.
- Performance Monitoring: Architecting the automated KPI ecosystem and health-check dashboards for Payments, Support, and FirstLook.
- Strategic Insight Generation: Conducting high-level deep-dives into payment failure trends, transaction routing optimization, and operational bottlenecks.
- AI & Automation Integration: Leading the charge in implementing AI/LLM solutions—from automated support ticket classification to predictive routing and fraud detection.
- Actionable Implementation: Working as a strategic partner to Ops Leads to ensure your data models translate into direct business growth and process overhauls.
Potential Candidate Profile:
- Experience: 2+ years of experience in Data or Operations Analytics (preferably in Fintech, SaaS, or high-growth startups).
- SQL Mastery: Proficiency in writing complex, optimized queries (CTEs, Window Functions, etc.).
- Visualization Skills: Proven ability to tell a story with data in Tableau, making complex metrics easy for stakeholders to digest.
- Analytical Mindset: Strong understanding of product funnels (Amplitude) and business unit economics.
- Adaptability: A keen interest in AI/Machine Learning and a willingness to experiment with new automation tools.
- Communication: Fluent in translating data findings into clear business recommendations.
Focus Areas (Your Impact)
- Payments: Minimizing cancell rates, optimizing transaction flows, user segmentation etc.
- Support: Analyzing CSAT, other metrics and identifying high-impact areas for AI chatbot implementation.
- Online reputation: Integrating analytical tools for sentiment tracking across different platforms.
Why This Role?
- Build the Function from Scratch: You aren’t just joining a team; you are establishing the analytical culture in a team. You will have the autonomy to define the tools, the methodologies, and the standards for how Operations uses data.
- Path to Data Science: This role is designed for growth. With our focus on AI, anti-fraud modeling, and complex segmentations, you will have the perfect sandbox to transition into Data Science or Advanced Machine Learning roles in case you want.
- High Visibility & Ownership: As the pioneer analyst in this direction, your insights will directly influence executive-level decisions. You will see the immediate impact of every model you build.
- AI-First Environment: You won't be stuck with legacy processes. You will be at the forefront of implementing AI-driven operations, giving you a massive competitive edge in the future market.
What you’ll get:
- Competitive compensation and a high-impact role.
- Full Ownership: Freedom to optimize and evolve the support function as you see fit.
- Support from the best: Access to internal professional communities (Marketing, Product, Operations) within the SKELAR network.
- A meaningful mission: Help millions of people live healthier lives every day.
Leaply is backed by SKELAR, a venture builder with over 10 successful B2C businesses. Beyond business, we support the SKELAR Foundation, a charitable initiative created by employees to support the Ukrainian Armed Forces. Join us in building the next big thing!
Why work at SKELAR
- Culture: Values include “Be a builder” (ownership), “Stop at never” (resilience), “Assemble talents” (relentless recruiting), and “Grab opportunities” (speed). Emphasis on data, autonomy, and high ambition.
- Work model: Hybrid, remote, and in‑office options available depending on role and location (Kyiv, Lviv, Warsaw). Many roles listed as “Hybrid” or “In‑Office or Remote”.
- Growth trajectory: Rapid headcount growth (+56% YoY), 306 open positions, and a track record of 50‑60% annual growth.
- Engineering & product culture: Technical roles make up 17% of workforce; strong focus on product, analytics, and marketing. Opportunities to work across multiple products and geographies.
- Perks: Platform support (legal, finance, hiring) means less administrative burden; access to a network of top operators; participation in bootcamps and internal learning events.