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Data Analyst - Leaply

skelar

Híbrido Kyiv, Lviv, Warsaw
Data

Job Score

90 pts
Hybrid model (+80) Data (+10)

Hi! We’re Leaply — a product ecosystem in the Health & Wellness niche. Our mission is to create a platform users can fully trust with their health, so they can live healthier on autopilot. 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 Marketing Analyst to bring structure and clarity to how we make marketing decisions.

Role Overview:

We're looking for a Data Analyst to own and elevate marketing analytics across Performance Marketing. The Marketing team at Leaply is highly data-driven and focused on developing at-scale, measurable marketing programs designed to improve the lifetime value of Leaply customers.

This is a high-impact individual contributor role for someone who thrives in complex environments and brings structure, clarity, and insight where systems are still evolving.

You'll be the primary analytical partner for the Performance Marketing team, with broad ownership over measurement frameworks, reporting, A/B test evaluation, LTV prediction, analytical culture development, and strategic decision support. Your job is to improve processes that already work and unlock the zones we haven't gotten to yet.

What You Will Do:

  • Partner with the marketing team to sharpen day-to-day decision-making — from spend allocation to creative testing to channel mix

  • Drive analytical culture across the marketing team — through training, self-service tooling, and enablement that turns data into a team capability, not an analyst service

  • Prioritize and lead deep-dive research into our audience and how each segment translates into long-term unit economics

  • Build out our AB test evaluation framework across funnels — set methodology, raise the quality bar, accelerate decision velocity

  • Design and own the monitoring layer for key metrics and early warning signals — dashboards, AI assistants, Slack alerts.

  • Design and evolve scalable, resilient data pipelines that consolidate marketing, product, and payment data into analytics-ready models

  • Partner with engineering on the quality and transparency of our tracking — from event taxonomy to attribution integrity

  • Shape team-level standards: which tools we use, how we approach recurring analytical problems, what "good" looks like for us

What You’ll Need to Succeed:

  • 2+ years in analytics for consumer apps or digital products, ideally subscription-based

  • Strong analytical mindset — you decompose metric behavior naturally, separate cohort from calendar effects, and explain complex concepts in plain language

  • Strong SQL with hands-on experience on large datasets (BigQuery would be a plus)

  • Proficiency with BI tools (Tableau preferred; Power BI, Looker). A track record of building automated reporting layers would be a plus

  • Solid grasp of core marketing economics — CPM, LTV, CAC, ROAS — and how they connect to business decisions (performance marketing background would be a plus)

  • Comfort with experimentation methodology and statistical fundamentals — A/B test design, sample sizing, significance, power, common pitfalls

It’s great if you have:

  • Working-level Python for data manipulation and lightweight scripting

  • Hands-on Amplitude experience — both dashboard building and tracking design

  • Experience with a data transformation tool (dbt, Dataform, SQLMesh)

  • Data Science fundamentals — forecasting, clustering, basic ML approaches

  • Experience running monetization experiments (significant plus in a subscription context)

  • A natural teacher instinct — you proactively level up the team around you, not just deliver numbers

Why This Role

Scale the function. You'll help evolve how Leaply does marketing analytics — the tools, the pipelines, the standards behind every decision.

Decisions drive spend. With marketing budgets scaling fast across multiple channels, every measurement choice compounds. You'll build the data foundation behind every major spend call.

Two paths forward. As the analytics function grows from a small team to a full guild, you can go deep on IC complexity (LTV forecasting, attribution, brand evaluation) or grow into a Marketing Analytics Lead role.

Real AI investment. We're actively building AI-powered solutions across the business — you'll shape the analytics-side foundations the rest of the company will rely on.

What You'll Get

  • Competitive compensation and a high-impact role

  • Full ownership of the marketing analytics function

  • Direct partnership with the CMO and close mentorship from our Data Analytics Lead

  • Access to internal SKELAR communities across Analytics, Marketing, Product, and Engineering

  • A meaningful mission: help people live healthier lives every day

Leaply is backed by SKELAR, a venture builder with 13+ 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!

About Data

The Data field has undergone a radical transformation with the rise of Generative AI. Data professionals are fundamental for evidence-based decision-making across all industries.

Key specializations include Data Engineering, Data Science, Business Intelligence, Machine Learning Engineering, and Analytics. Tools like SQL, Python, Spark, dbt, and cloud platforms (AWS, GCP, Azure) are essential.

The data market continues with high demand and salaries among the most competitive in the technology sector, with many remote work opportunities.

Discover Other Areas

Understand the scope of work, key skills, and tools used in different career areas.

About Information Security

The Information Security area is one of the most strategic and in-demand fields in the technology market. With the rise of cyberattacks, data breaches, and regulations like LGPD and GDPR, companies of all sizes invest heavily in professionals who can protect their digital assets.

Key specializations include Network Security, Cloud Security (AWS, Azure, GCP), Offensive Security (Penetration Testing, Red Team), Defensive Security (SOC, Blue Team), AppSec, and Security Governance. Tools like SIEM (Splunk, QRadar), firewalls, EDR, and Vulnerability Management platforms are essential.

Certifications like CISSP, CEH, OSCP, CompTIA Security+, and AWS Security Specialty are important differentiators. Information security professionals are among the highest-paid in the sector, with growing demand especially in fintechs, healthtechs, and large enterprises.

About Marketing

The Marketing area is strategic for the growth and positioning of any company. It encompasses traditional marketing, brand management, market research, trade marketing, product marketing, and market intelligence. Marketing professionals are responsible for planning and executing strategies that connect brands to their target audience.

Key skills include brand management, market research, competitive analysis, product marketing, trade marketing, pricing, relationship marketing, and channel development. Knowledge of research tools (Nielsen, Kantar, Ipsos), BI, and advanced spreadsheets is a differentiator.

Marketing professionals in technology companies are highly valued, especially those who master product marketing, go-to-market strategy, and data-driven marketing. The field offers opportunities from analyst to CMO, with a focus on growth, brand positioning, and return on investment.

About Engineering

Software Engineering goes beyond traditional development, focusing on scalability, performance, and system architecture. Software engineers are responsible for designing infrastructures that support millions of simultaneous users.

Skills include microservices architecture, DevOps, cloud computing, application security, and performance optimization. Knowledge of containerization (Docker, Kubernetes) and CI/CD is increasingly required.

Senior software engineers are rare and highly compensated professionals, with opportunities at major global tech companies.

About Content

The Content and Social Media area is essential for building digital presence and audience engagement. Professionals create content strategies, manage social networks, and develop impactful brand narratives.

Key skills include copywriting, storytelling, community management, metrics analysis, audiovisual production, and knowledge of each platform algorithms.

With the growth of influencer marketing and social commerce, this area continues to generate new career opportunities.

About Web Designer

The Web Designer is the professional responsible for creating visual interfaces for websites, web applications, and landing pages, combining aesthetics, usability, and user experience. They transform business needs into functional and responsive layouts that communicate brand identity.

Key skills include UI design, responsive design, prototyping (Figma, Sketch, Adobe XD), wireframing, design systems, accessibility (WCAG), information architecture, and basic HTML/CSS knowledge. Knowledge of UX design, motion design, and front-end is a differentiator.

Web Designers in technology companies are highly valued, especially those who master design systems, design tokens, and can create interfaces that convert and engage. The field offers opportunities from junior web designer to product designer and design lead.

Career Guides

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Design Career Guide

UX/UI, Graphic Design, Product Design. Portfolio, tools, interviews, and growth in the Design field.

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Marketing Career Guide

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Finance Career Guide

Financial market, investments, corporate finance, certifications, and strategies to grow in the financial field.

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Communication Career Guide

Journalism, PR, Corporate Communication, Content Marketing, and Multimedia Production.

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Administration Career Guide

Business Management, HR, Logistics, Consulting, Project Management, and Entrepreneurship.

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Data Career Guide

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Product Career Guide

Product Management, Product Ownership, Agile, Scrum, and OKRs. From strategy to execution.

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Expert Tip

The 2026 AI Boom: The Most Valuable Tech Careers and How to Land Six-Figure Remote Jobs

We are halfway through 2026, and one thing is crystal clear: the "experimental" phase of Artificial Intelligence is officially over. While 2023 and 2024 were characterized by awe over chatbots drafting emails and generating images, 2026 has solidified AI as the core infrastructure of global enterprises. The transition from standalone "AI tools" to Autonomous Agents and Multi-Agent Systems has radically transformed the job market.

For Tech, Design, and Digital Marketing professionals across the United States, 2026 represents the greatest window of opportunity of the decade to secure top-tier, 100% remote roles with highly lucrative six-figure compensations.

In this article, we will break down the current AI job landscape, backed by recent data, and list the top careers that startups and Fortune 500 companies are desperately trying to fill.

The Current Landscape: 2026 Data and Projections

The market isn't just hiring standard developers anymore; it's hiring intelligence orchestrators. According to recent Future of Work reports:

  • Exponential Growth: The World Economic Forum (WEF) 2026 update highlights that roles focused on AI, Machine Learning, and Big Data have grown by 45% compared to 2024, cementing them as the fastest-growing fields nationwide.
  • Corporate Adoption: Data published by Gartner earlier this year reveals that over 80% of Fortune 500 companies are now running Generative AI applications in production environments. This has created a massive demand for AI maintenance, ethics, and governance.
  • The Remote Premium: An internal analysis from Mondywork's database (which tracks integrations with major ATS platforms like Greenhouse and Ashby) shows that 73% of US-based AI roles are Remote-First. The average salary for senior specialists in these roles currently exceeds the $140,000 to $180,000 annual range, plus equity.

The 5 Hottest AI Opportunities in 2026

If you want to tailor your resume and LinkedIn profile to be easily captured by modern recruiting algorithms, these are the positions with the highest talent deficit in the US market right now:

1. MLOps and LLMOps Engineers (Operations Engineering)

Large Language Models (LLMs) are like Formula 1 engines: they need a full pit crew to avoid crashing on the track. The industry has realized that putting AI into production is vastly different from running a local model.

  • What they do: Manage infrastructure, oversee the model lifecycle, handle fine-tuning with proprietary company data, and ensure the AI does not suffer from large-scale hallucinations.
  • Hot Search Terms: MLOps, LLMOps, Platform Engineering, Data Ops, Kubernetes for AI.

2. Prompt Engineer & AI Interaction Designer

The profession many thought would be a passing fad has heavily evolved. The 2026 Prompt Engineer is not just someone who "talks well to machines"; they are complex logical system designers.

  • What they do: Sitting at the intersection of Software Engineering and UX Design, these professionals design system prompts for Autonomous Agents, build RAG (Retrieval-Augmented Generation) flows, and structure how AI safely interacts with end-users.
  • Hot Search Terms: Prompt Engineering, NLP, AI Behavior Design, UX Writer for AI.

3. Analytics Engineer / Structured Data Specialist

AI is completely useless without clean data. The classic Data Scientist role has yielded massive ground to the Analytics Engineer, the professional who bridges the gap between raw data engineering and business analysis.

  • What they do: Prepare, model, and transform chaotic data lakes into crystal-clear sources so enterprise AI models can consume data and generate real-time insights.
  • Hot Search Terms: Analytics Engineer, dbt, Snowflake, Computer Vision, BigQuery.

4. AI Product Manager (AI PM)

Companies are tired of building AI features "just because." Now, they need these features to drive serious revenue (ROI). The AI-focused Product Manager is the conductor of this orchestra.

  • What they do: Understand the technical limitations of modern LLMs, translate user pain points into viable AI solutions, and manage the product roadmap while ensuring the technology complies with strict privacy laws (like CCPA and GDPR).
  • Hot Search Terms: AI Product Manager, CPO, Product Ops, AI Governance.

5. AI Growth Marketer / High-Performance Media Buyer

In the digital marketing realm, 2026 is the year of autonomous campaign orchestration. Marketers still relying on 100% manual campaign creation are rapidly losing ground to those who can direct predictive AI.

  • What they do: Leverage Machine Learning and advanced AI tools for autonomous Conversion Rate Optimization (CRO), automated A/B testing, mass content generation, and predictive consumer behavior analysis.
  • Hot Search Terms: Growth Marketing, Media Buyer, Programmatic, AI Copywriting, Martech.

How to Prepare and Get Found (Beating the ATS Filters)

US companies utilize incredibly rigorous Applicant Tracking Systems (ATS) like Workday, Greenhouse, and Lever. They configure recruiting bots to filter resumes using fine-mesh keyword grids.

If you want to land these highly competitive roles, the golden rule is to mirror the exact industry jargon:

  • Don't just write "Data Analyst"; use "Data Ops" or "Analytics Engineer".
  • Don't just list "Cloud Support"; highlight "FinOps", "Cloud Architect", or "Platform Engineer".
  • Replace the outdated "Digital Marketer" with "Growth Ops" or "Performance Manager".

Mondywork Does the Heavy Lifting for You

The US market is fiercely competing for top-tier talent. Startups and tech giants are looking for highly skilled professionals ready to collaborate across different time zones in fully remote environments. That is exactly why Mondywork exists. Our proprietary algorithm scans the largest global Job Boards to find verified, high-paying, and 100% remote Tech, Design, and Marketing opportunities.

Don't miss the chance to ride the biggest technological revolution of our generation.

👉 Subscribe now to Mondywork's Job Alerts


Macroeconomic Reference Sources:

  • World Economic Forum - The Future of Jobs Report 2026 Update.
  • Gartner - Hype Cycle for Artificial Intelligence, 2026.
  • McKinsey Global Institute - The Economic Potential of Generative AI (Revisited 2026).