Solid working experience with Python (data analysis, pandas and numpy) and SQL (3+ years experience).
Experience with time series forecasting frameworks (ARIMA, Prophet) and/or machine learning models.
Strong analytical and programming skills to translate raw data into actionable insights.
Strong business acumen gained from working closely with business units and knowledge in pricing and unit economics optimization.
Proficiency with Excel or Google Sheets and data visualization tools.
Creative problem-solving abilities and clear communication of complex issues.
Willingness to learn and take initiative.
Responsibilities:
Planning and Forecasting Usage and Subscribers, focusing on product utilization by subscribers monthly.
Involvement in challenges related to Subscriber Pricing, Clients Pricing, Partners-Plan allocation, Planning and Forecasting of main KPIs, A/B Testing.