Data Analyst, Engagement & Retention

McAfee

1d•Hybrid

About The Position

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. This is a Hybrid position located in either Waterloo or Toronto, Canada. You must be within a commutable distance of one of those locations. You will be required to be onsite for business reviews, quarterly meetings and other collaboration opportunities; when not working onsite, you will work remotely from your home location. 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.

Requirements

3+ years of experience in analytics, management consulting, investment banking, or similar analytical roles.
Strong analytical problem-solving skills and can break down ambiguous business questions into structured analyses.
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).
Strong attention to detail and consistently deliver accurate, validated outputs.
Strong written and verbal communication skills and can translate complex analysis into executive-ready insights and visuals.
Experience working with data in tools such as Excel.
Can work with SQL and Python, leveraging AI tools as needed to accelerate analysis.
Must be within a commutable distance of Waterloo or Toronto, Canada.

Nice To Haves

Experience analyzing subscriber behavior, churn risks, renewal patterns, and lifecycle performance.
Experience identifying behavioral signals, conversion levers, and customer journey pain points.
Experience measuring retention campaign effectiveness and A/B test results, quantifying impact, and recommending optimizations.

Responsibilities

Support the Engagement & Retention team by delivering end-to-end retention analytics across the subscriber lifecycle.
Analyze churn and renewal behavior.
Identify conversion levers and customer journey pain points.
Translate findings into executive-ready insights that guide retention strategy and marketing execution.
Measure campaign and A/B test impact.
Support planning and forecasting.
Help modernize reporting by partnering with Data Engineering to automate dashboards and reduce manual reporting.
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.