Lead Data Analyst, Audience & Subscriber Insights

Role Overview

The Lead Data Analyst will use behavioral, engagement, and subscription data to uncover what drives conversion, retention, and long-term audience value, and develop actionable audience segments for personalization and targeting.

What You Will Do

Develop and execute analysis of digital audience behavior, engagement, conversion, and retention using large-scale behavioral and subscription data to identify opportunities for audience and subscriber growth.

Why It Might Be a Fit

The ideal candidate combines strong analytical and statistical skills with curiosity about customer behavior and the ability to turn data into business action.

Requirements

• 5+ years of experience in customer analytics, audience analytics, growth analytics, product analytics, marketing analytics, decision science, or a similar quantitative analytical role.
• Advanced SQL skills and experience analyzing large-scale behavioral, transactional, subscription, or customer-level datasets.
• Experience developing behavioral or customer segments and using data to identify meaningful differences in engagement, conversion, retention, churn, or lifetime value.
• Experience applying statistical methods to real-world business problems, using Python or R in addition to SQL.
• Experience with digital behavioral data and event-based analytics platforms such as Google Analytics, Mixpanel, Amplitude, or Adobe Analytics.
• Experience with experimentation and A/B testing, including interpreting results and helping stakeholders translate findings into decisions.
• Excellent communication and data storytelling skills, with the ability to explain complex analysis to non-technical stakeholders and turn findings into actionable recommendations.

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• Paid time off
• Retirement plan
• Life insurance
• Disability insurance

Tagged as: Data Analysis