Data Analyst

nove8 is a young tech company focused on mobile apps, from pet care to lifestyle. We build products that help people live, work, and connect in meaningful ways. Today, we explore new directions, experiment, and create meaningful digital experiences for people around the world. We care about what we build and how we build it, value fairness and trust, and believe that teamwork and curiosity help us move forward together.

About the Role

We are looking for a Data Analyst (Marketing) to support analytics across user acquisition and marketing performance. The role focuses on working with marketing data, ensuring consistency of key metrics (LTV, CAC, ROI), and providing insights to support decision-making. This position involves working with large datasets, analyzing marketing funnels, and helping the team better understand performance across channels.

What We’re Looking For

• Strong SQL skills (BigQuery or similar)

• Solid understanding of marketing metrics: CAC, LTV, ROI/ROMI, payback

• Experience working 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 and ability to translate data into business insights

• Experience in A/B testing analysis

What You’ll Do

• Analyze marketing performance across different channels (Meta, Google, etc.)

• Work with core datasets (spend, revenue, LTV, attribution)

• Support consistency of key metrics (LTV, CAC, ROI) across reports

• Support development and validation of LTV calculations

• Analyze funnel performance (click → install → payment → retention)

• Assist with A/B test analysis and interpretation of results

• Identify data quality issues and collaborate with data engineering to resolve them

• Prepare reports and dashboards to support marketing and product teams

• Work closely with marketing and data science teams to support LTV prediction development and validation

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

Recruitment process

HR interview - Interview - Team fit interview - Offer

Our Benefits

• Time-off Policy - unlimited Out of office days

• Remote or Hybrid work. The choice is yours!

• Sport and education compensations

• Psychologists compensation

• Language courses compensation

• Co-working compensation

• Health insurance

• 100% Sick Leave Compensation

• Team buildings and offsites (Spain, Italy, Poland and other)

• Merch

• Birthday presents

Take a look at our Instagram to get a feel for our team and culture 💫