Note: The job is a remote job and is open to candidates in USA. McAfee is seeking a hands-on analytics professional to lead Retention Analytics. The role involves providing data-driven insights into subscriber journeys and lifecycle performance, partnering with various teams to shape plans, and leading business planning and forecasting for retention.

Responsibilities

• Lead the Retention Analytics team at McAfee—own insights that inform strategy and execution for Retention, strengthening outcomes
• Drive the insights and prepare executive‑ready materials for leadership reviews, clearly communicating retention trends, pacing to plan, and progress on strategic initiatives
• Build annual and quarterly plans in partnership with key stakeholders across Engagement and Retention, Finance, and Product
• Own retention forecasting, monitor performance vs. plan, and communicate risks and opportunities
• Measure the impact of retention initiatives and A/B tests, evaluate campaign effectiveness, and optimize messaging based on results
• Modernize data reporting, partnering with the Data Engineering Team to automate dashboards, and reduce manual work to focus on high-value analysis and insights
• Analyze subscriber behavior to uncover churn risks, conversion levers, and journey pain points
• Identify high-value segments for targeting to drive loyalty and reduce churn
• Manage and coach a team of 2-4 analysts, setting priorities, reviewing outputs, and investing in skills development

Skills

• 7+ years in an analytical, management consulting, finance, or similar role—including people-leadership experience (3+ years)
• Proven ability to structure and solve exploratory problems; strong attention to detail and accuracy in analysis and reporting; effective decision-making under uncertainty
• Excellent verbal/written communication; ability to translate complex concepts into simple, executive-ready narratives and visuals
• Advanced Excel and MS Office (PowerPoint, Word, Outlook)
• A self-starter who isn't afraid to get hands dirty—comfortable using SQL, Python, and generative AI tools as needed to access data and deliver analysis, even if not a coding expert
• Thrives in a fast-paced environment; collaborates across time zones; builds strong relationships and cross-functional alignment to accomplish objectives

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