Senior Data Analyst, Member Experience

Thrive Market

full-time

Posted on: 9/17/2025

Origin: • 🇺🇸 United States • California

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Salary

💰 $130,000 - $170,000 per year

Job Level

Senior

Tech Stack

CloudJavaPythonScalaSparkSQLTableau

About the role

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.
Leverage external and internal data to uncover category and pricing opportunities.
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 Member Experiences team to analyze the full end-to-end customer journey, identifying friction points across ordering, fulfillment, and post-purchase experiences.
Develop dashboards and reporting that monitor engagement metrics, satisfaction drivers, and support ticket trends, surfacing actionable insights to reduce customer complaints.
Deliver data-driven recommendations to improve customer sentiment and retention, focusing on proactive strategies that lower support volume and enhance overall member experience.
Reports into the Data Engineering Manager.

Requirements

MBA with a focus in analytics, strategy, or a related quantitative field.
7+ years of experience in data analytics, with a strong track record of business impact.
Advanced SQL skills and proficiency in a programming language (e.g., Python, Java, Scala, or C++).
Experience with large-scale data tools such as Hive, Spark, or similar.
Hands-on experience with Snowflake or other modern cloud data warehouses.
Strong foundation in statistics and multivariate regression.
Expertise in data visualization and BI tools (Domo, Tableau, Looker, etc.).
Ability to clearly communicate insights to non-technical audiences and influence decision-making.
Experience in eCommerce or subscription businesses is a strong plus.
Familiarity with A/B testing, web analytics (GA, Amplitude, Mixpanel), and customer journey analysis.
Curious, collaborative, and highly self-motivated — with a bias for action and a business-first mindset.