Data Analyst

nove8

Polska

Hybrid

PLN 110,000 - 170,000

Full time

3 days ago
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Benefits offered by this job

Remote work option
Hybrid work option
Wellness compensations
Psychologists compensation
Language courses compensation
Co-working compensation
Health insurance
100% Sick Leave Compensation
Team buildings and offsites

Job summary

nove8 is seeking a Data Analyst (Marketing) to support analytics across user acquisition and marketing performance. You will work with marketing data, ensure consistency of key metrics (LTV, CAC, ROI), and provide insights to guide decision-making.

The role involves handling large datasets, analyzing marketing funnels, and helping the team understand performance across channels. You will collaborate with marketing, data science, and engineering to improve LTV prediction and reporting, with a

Qualifications

  • Strong SQL skills and experience with marketing metrics.
  • Experience with large-scale datasets and attribution data.
  • Familiarity with BI tools and marketing channels attribution.
  • Experience in A/B test analysis.

Responsibilities

  • Analyze marketing performance across 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 with marketing and data science teams on LTV prediction development and validation.

Skills

SQL
Marketing metrics
LTV
CAC
ROI/ROMI
A/B testing
Attribution data
BigQuery
Tableau
Python
ML concepts
Amplitude
AppsFlyer
Stripe/PayPal data

Tools

Tableau

Job description

About Us

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 aData 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!
  • Wellness compensations
  • Psychologists compensation
  • Language courses compensation
  • Co-working compensation
  • Health insurance
  • 100% Sick Leave Compensation
  • Team buildings and offsites (Spain, Italy, Poland, Portugal and others)
  • Merch
  • Special Occasions Presents

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

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