
Growth Analytics Lead
Stellartech Research Corporation
full-time
Posted on:
Location Type: Hybrid
Location: Limassol • 🇨🇾 Cyprus
Visit company websiteJob Level
Senior
Tech Stack
AirflowAmazon RedshiftETLPandasPythonSparkSQLTableau
About the role
- Develop and maintain LTV models for subscription-based products (web & mobile)
- Analyze historical user behavior data (payments, retention, churn)
- Build LTV forecasting models using statistical methods (Cohort, Retention-based, Pareto/NBD, BG/NBD) and machine learning (e.g., XGBoost, CatBoost, LightGBM)
- Design experiments and validate LTV models
- Create Python-based data pipelines (using SQL, Pandas, Airflow, etc.)
- Collaborate with product analytics, CRM, marketing, and BI teams
- Visualize LTV and ROI metrics via BI tools (e.g., Tableau, Superset)
Requirements
- Strong Python and SQL skills (data analysis, automation, pipeline development)
- Solid understanding and hands-on experience with classic statistical LTV models (cohort-based, retention curves, etc.)
- Experience with modern ML-based LTV prediction methods (regression, gradient boosting, feature engineering, model validation)
- Previous work with subscription-based monetization (web or mobile apps)
- Ability to build models with 30/90/180/360-day horizons
- Strong grasp of unit economics, CAC, churn rate, ROI, and payback periods
- Skilled in delivering actionable insights and building dashboards
- Nice to have: Experience with different product types (one-time, subscription, freemium)
- Familiarity with BI tools (Metabase, Tableau, PowerBI, Superset, etc.)
- Experience in building end-to-end prediction pipelines (ETL, feature stores, forecasting, reporting)
- Knowledge of Airflow, dbt, Spark, Redshift, or similar analytics stacks
Benefits
- Health insurance package for hybrid mode (Cyprus, Poland)
- Health corner in the Cyprus office
- 21 days of annual leave
- 10 bank holidays
- AI solutions: Cursor/Claude Code/ Chat GPT subscription and other tools
- Flexible paid time off
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonSQLLTV modelsCohort analysisRetention-based modelsPareto/NBDBG/NBDXGBoostCatBoostLightGBM
Soft skills
data analysisautomationcollaborationactionable insightsdashboard building