Senior Data Analyst, Lifecycle Marketing

Thrive Market is hiring a Senior Data Analyst, Lifecycle Marketing to turn data into strategic insights that guide business decisions. The role leads analytics projects and supports lifecycle and retention marketing through campaign measurement, dashboards, segmentation, and actionable insights.

Responsibilities:

• Lead high-impact, end-to-end analytics projects that inform key business and product strategies
• Partner cross-functionally with stakeholders to align on priorities and translate questions into analytical frameworks
• Deliver clear, data-driven insights that influence decision-making across the organization
• Design and maintain dashboards, models, and datasets that empower business teams to self-serve and track performance
• Identify data quality issues and help resolve inconsistencies across source systems
• Support lifecycle and engagement analytics to inform retention, LTV, and user journey improvements
• Collaborate with Finance to measure and forecast the financial impact of product and business decisions
• Respond to ad hoc analytical requests with accuracy, efficiency, and business context
• Bring thought leadership to Thrive Market’s data practices — recommending new ways to enhance our analytical toolkit and processes
• Partner with the Retention Marketing team to evaluate customer journey touchpoints, measuring the effectiveness of email, SMS, and app engagement campaigns
• Build dashboards and models to monitor lifecycle KPIs (churn, reactivation, engagement rates), identifying opportunities to improve retention and loyalty
• Deliver insights that inform personalization strategies and CRM segmentation, enabling more relevant, data-driven communications that enhance customer lifetime value

Requirements:

• 7+ years of experience in data analytics, with a strong track record of business impact
• MBA with a focus in analytics, strategy, or a related quantitative field
• Ability to translate business questions into analytical frameworks and provide actionable, prescriptive insights to stakeholders
• Proficiency in SQL and data visualization tools (e.g., Domo, Looker, Tableau) with a focus on self-serve dashboard governance
• Advanced SQL skills with experience in cloud data warehouses (Snowflake, BigQuery)
• Experience using DBT and Python for data manipulation, transformation, and processing
• Strong foundation in statistics and multivariate regression
• Expertise in building and interpreting member segmentation models to drive personalized lifecycle campaigns
• Proven track record of designing, executing, and analyzing complex A/B and multivariate tests across channels (email, SMS, push, onsite)
• Strong ability to connect CRM metrics (e.g., retention, LTV, churn, reactivation, ROAS) to overall business impact
• Ability to clearly communicate insights to non-technical audiences and influence decision-making
• Experience collaborating with CRM, product, and data engineering teams to influence experimentation design, campaign strategy, and measurement frameworks
• Strong knowledge of data quality, attribution, and causal inference techniques in the context of CRM performance measurement
• Curious, collaborative, and highly self-motivated — with a bias for action and a business-first mindset
• Experience in eCommerce or subscription businesses is a strong plus