Senior Data Analyst, Lifecycle Marketing

About Thrive Market

Thrive Market was founded in 2014 with a mission to make healthy and sustainable living easy and affordable for everyone. As an online, membership-based market, we deliver the highest quality healthy, and sustainable products at member-only prices, while matching every paid membership with a free one for someone in need.

The Role

At Thrive Market, data is core to how we operate, innovate, and grow. As we continue to scale, we’re looking for a Senior Data Analyst (Lifecycle Marketing) to play a critical role in turning data into strategic insight - guiding decisions for the Lifecycle Marketing team.

Reporting into the Senior Manager, Data Analytics & Engineering, you'll help translate complex data into clear, actionable insights that shape business outcomes. You'll be a trusted analytics partner to leaders across Thrive Market, connecting data to real-world outcomes and helping teams make smarter, faster decisions every day.

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.

Support the Retention Marketing Team:

• 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.

Qualifications

• 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.