Senior Data Analyst, Merchandising

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.
Serve as the primary partner to the Merchandising team to hypothesize, develop and deliver insights into product performance, assortment effectiveness, and pricing/promotional impact.
Build and maintain reporting frameworks that track and visualize key insights to monitor category-level KPIs such as sales, margin, sell-through, and inventory turns. Responsible for all team trainings and support.
Design and maintain dashboards that empower Merchandising leaders and teams to self-serve and track the performance of their business.
Execute deep-dive analysis to ensure Merchandising strategies are both competitive, high performance and profitable.
Thought leader and partner in identifying data gap opportunities to allow the Merchandising team to manage their business more effectively and efficiently.

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.