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Data Analyst - Leaply

SKELAR

Lithuania Remote permanent

Posted: December 22, 2025

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Quick Summary

We are looking for a Data Analyst to join our team in Lithuania, responsible for analyzing data to inform business decisions and drive growth.

Job Description

SKELAR is a venture builder that builds international IT product companies according to the rules of the venture capital world. Together with our co-founders, we assemble strong teams to launch tech businesses and win in global markets.

We are currently looking for a first Data Analyst for Leaply (e-commerce direction).

We are Leaply, an ecosystem of digital and physical products designed to help people build healthy habits and improve their quality of life. We operate in global markets - the US, Tier 1, Europe, and beyond.

In June 2024, we launched an app focused on habit-building, using a subscription-based monetization model and a performance-first marketing approach (Meta, Google, TikTok). Within the first two months, we achieved positive unit economics and are now on track to grow 10x by the end of the year.

Our team is building its third business together, with successful exits behind us and a deep understanding of our niche and target audience. We move fast, communicate openly, and set ambitious goals.

The Role

We are aggressively scaling our physical product direction across Shopify (DTC) and Marketplaces (Amazon, etc.).

We face a complex data challenge: connecting the dots between aggressive Ad Spend (Meta/TikTok), Web Funnel Performance (Shopify), and Physical Operations (Logistics/Inventory). We need a strong Data Analyst to build the "Single Source of Truth" for the business.

You will not just be building charts; you will be the architect of our commercial intelligence. You will help us understand exactly how a creative view on Instagram translates into net profit, accounting for shipping, COGS, and return rates.

What you’ll do:

• Data Unification: Lead the effort to integrate fragmented data sources (Meta Ads, Shopify, Amazon Seller Central, and other sources of data) into a unified analytical view.

• Marketing & Creative Analytics: Deep dive into ad performance. Move beyond basic ROAS to understand the holistic impact of traffic sources on total ecosystem revenue.

• E-commerce Funnels: Analyze user journeys to our Shopify store. Evaluate A/B tests on landing pages, checkout flows, and bundles to maximize Conversion Rate and AOV.

• Operations & Inventory: Build dashboards to monitor stock levels and predict inventory depletion. Help us answer "When do we reorder?" and "How much capital is frozen in stock?"

• Reporting Ecosystem: Design and maintain automated dashboards (Tableau) that provide real-time visibility into P&L and Contribution Margin for the Founders and Brand Managers.

This role is for you if...

• You have 3**+ years** of experience in Data Analytics

• You have strong SQL skills (Window functions, CTEs, complex joins across disparate datasets are second nature to you).

• You have experience working with Digital Marketing data (Meta Ads, Google Ads, etc.).

• You are proficient with BI Visualization tools (Tableau, Looker, or PowerBI) and know how to tell a story with data.

• You are autonomous. As a Middle+ specialist, you identify gaps in data and fix them without waiting for a ticket.

• You have confident English level (both colloquial and written).

SKELAR is an environment for self-realization of people who are able to create successful companies. We call such companies the next big everything. We believe in their power and scale.

To do this, we have created all the opportunities within our venture builder:

• 8 infrastructure teams that help businesses close any issues: from recruiting and communications to finance and legal issues;

• A community of founders who have already launched more than one business and can share practical experience;

• Internal clubs by professional areas: marketing, development, finance, recruiting, brand ambassadorship;

• Trainings, courses, attending conferences;

• Health insurance.

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