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Skelar

Monetization Analyst - Leaply

Kyiv; Lviv; WarsawRemote · Europe
FullTime · Analytics
POSTED 23 SEPTVERIFIED 13M AGO
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Open for
41d
since 23 Sept
Hiring · 30d
113
−4 net · open roles
SQLLLMs

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.

Source · SkelarFirst seen 2 NovOriginal ↗