Role: Data Retention Analyst
Location : Canada – Remote
Duriation : 6 months
Description
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.
Responsibilities
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 analysing 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, andrecommendingopt
