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Marketing Analyst - Leaply

SKELAR·Salary not specified

Primary stack

MarketingSQL

Nice to have's

PythonAmplitudedata transformation toolsdata science fundamentalsmonetization experiments

Job description

Description language:

About the Position

Marketing Analyst - Leaply

Any of our Offices (Kyiv / Lviv / Warsaw)

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.

Responsibilities

  • 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

Requirements

  • 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

Nice to 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

We Offer

  • 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

About the Company

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!

© SKELAR. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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