Marketing Data Analyst

TL;DR

Marketing Data Analyst (Marketing Analytics): Support analytics across user acquisition and marketing performance by working with marketing data, ensuring consistency of key metrics (LTV, CAC, ROI), and providing insights to support decision-making with an accent on marketing funnels and channel performance. Focus on analyzing large-scale datasets, attribution data from sources like Meta and Google Ads, and A/B testing results.

Location: Remote or Hybrid work. The choice is yours!

Company

Young tech company focused on mobile apps from pet care to lifestyle, creating meaningful digital experiences worldwide.

What you will do

• Analyze marketing performance across channels like Meta and Google Ads
• Work with core datasets including spend, revenue, LTV, and attribution
• Ensure consistency of key metrics (LTV, CAC, ROI) across reports
• Support development and validation of LTV calculations
• Analyze funnel performance from click to install, payment, and retention
• Assist with A/B test analysis and results interpretation
• Identify data quality issues and collaborate with data engineering
• Prepare reports and dashboards for marketing and product teams
• Collaborate with marketing and data science teams on LTV prediction

Requirements

• Strong SQL skills (BigQuery or similar)
• Solid understanding of marketing metrics: CAC, LTV, ROI/ROMI, payback
• Experience with large-scale datasets (transaction-level, event-level)
• Experience with BI tools (Tableau)
• Ability to work with attribution data and marketing sources (Meta, Google Ads, etc.)
• Strong analytical thinking to translate data into business insights
• Experience in A/B testing analysis

Nice to have

• Experience with subscription-based products
• Experience with payment data (Stripe, PayPal, refunds, chargebacks)
• Python skills
• Familiarity with ML models and data science
• Experience with Amplitude, AppsFlyer

Culture & Benefits

• Unlimited out of office days
• Remote or hybrid work option
• Sport, education, psychologist, and language courses compensations
• Co-working compensation
• Health insurance and 100% sick leave compensation
• Team buildings and offsites (Spain, Italy, Poland, and others)
• Merch and birthday presents

Hiring process

• HR interview
• Interview
• Team fit interview
• Offer