We are seeking a Data Retention Analyst to analyze subscriber behavior, churn, renewals, and customer lifecycle trends. The ideal candidate should have strong SQL skills, basic Python knowledge, and the ability to translate business problems into actionable insights.

Key Responsibilities

- Analyze customer behavior, churn, renewals, and retention trends.
- Identify opportunities to improve customer retention and conversions.
- Evaluate retention campaigns and A/B testing results.
- Write SQL queries or accurate SQL pseudocode for data analysis.
- Perform basic Python analysis using Pandas and NumPy.
- Support forecasting, reporting, dashboards, and business insights.
- Collaborate with Product, Finance, and Data Engineering teams.

Required Skills





- 3+ years of experience in Data Analytics, Business Analytics, or Consulting.
- Strong SQL skills (query writing or pseudocode).
- Knowledge of churn, retention, and subscriber analytics.
- Experience with A/B testing and campaign analysis.
- Basic Python (Pandas, NumPy).
- Robust analytical and problem-solving skills.
- Excel, reporting, and communication skills.

Preferred Skills

- Subscription-based business or customer lifecycle analytics.
- Retention optimization and forecasting.
- Dashboard automation or AI-assisted analytics.

📌 Data Retention Analyst (Canada)
🏢 Mobile Apps US
📍 Canada