Data Retention Analyst

Role: Data Retention Analyst

Job Location: Canada - Remote
Mode: Contract

Job description:

Seeking a Data Retention Analyst to deliver end to end retention analytics guide retention strategies and modernize reporting for subscriber lifecycle management

Job Description

Analyze subscriber behavior churn risks renewal patterns and lifecycle performance Identify behavioral signals conversion levers and customer journey pain points Produce datadriven insights that guide retention strategy and marketing execution evaluate pacing vs plan and highlight risks and opportunities Measure the effectiveness of retention campaigns and AB 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 crossfunctionally with Engagement Retention Finance Product and the broader Analytics org to drive alignment on insights plans and performance outcomes Utilize dimensional data modeling techniques to structure data effectively for analytics and reporting Leverage SQL Python Excel and AI tools to accelerate data analysis and support datadriven decision making

Roles and Responsibilities

Conduct detailed analytics on subscriber lifecycle metrics including churn and renewal trends

Identify key behavioral indicators and conversion levers to optimize customer retention

Develop and deliver executiveready insights and visualizations to inform retention strategies

Measure and report on retention campaign and AB test performance recommending improvements

Collaborate with Data Engineering to design and automate dashboards reducing manual reporting efforts

Build and maintain forecasting models and retention plans aligned with business goals

Translate complex data analyses into actionable recommendations for crossfunctional teams

Apply dimensional data modeling principles to enhance data organization and accessibility

Ensure accuracy and consistency in all reporting and analytics deliverables

Mandatory Skills : Dimensional Data Modeling
Good to Have Skills : Business Intellligence