We are hiring a Data Retention Analyst to support the Engagement & Retention team by delivering end-to-end retention analytics across the subscriber lifecycle. The analyst will analyze churn and renewal behavior, identify conversion levers and customer journey pain points, and translate findings into executive-ready insights that guide retention strategy and marketing execution. This role will also measure campaign and A/B test impact, support planning and forecasting, and help modernize reporting by partnering with Data Engineering to automate dashboards and reduce manual reporting.
Remote – Canada
About the Role:
- Analyze subscriber behavior, churn risks, renewal patterns, and lifecycle performance.
- Identify behavioral signals, conversion levers, and customer journey pain points.
- Produce data-driven insights that guide retention strategy and marketing execution; evaluate pacing vs. plan and highlight risks and opportunities.
- Measure the effectiveness of retention campaigns and A/B tests; quantify initiative impact and recommend optimizations.
- Partner with Data Engineering to automate dashboards and reduce manual reporting.
- Maintain accurate, timely reporting for business reviews and leadership updates.
- Prepare clear, concise analytical summaries and visuals for leadership forums; translate complex analysis into simple insights and recommendations.
- Assist in building annual and quarterly retention plans; contribute to forecasting models and help monitor performance against plan.
- Collaborate cross-functionally with Engagement & Retention, Finance, Product, and the broader Analytics org to drive alignment on insights, plans, and performance outcomes.
About You:
- You have 3+ years of experience in analytics, management consulting, investment banking, or similar analytical roles.
- You have strong analytical problem-solving skills and can break down ambiguous business questions into structured analyses.
- You are a self-starter who takes ownership, works with minimal direction, and collaborates effectively with cross-functional partners (e.g., Engagement & Retention, Finance, Product, Analytics, and Data Engineering).
- You have strong attention to detail and consistently deliver accurate, validated outputs.
- You have strong written and verbal communication skills and can translate complex analysis into executive-ready insights and visuals.
- You have experience working with data in tools such as Excel and can work with SQL and Python, leveraging AI tools as needed to accelerate analysis.
Nice to have:
- You have experience analyzing subscriber behavior, churn risks, renewal patterns, and lifecycle performance.
- You have experience identifying behavioral signals, conversion levers, and customer journey pain points.
- You have experience measuring retention campaign effectiveness and A/B test results, quantifying impact, and recommending optimizations.
