SENIOR DATA ANALYST

Thrive Market
Full-time
Los Angeles or Remote
$130,000 - $170,000
Posted on 3 months ago

Job Description

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 to play a critical role in turning data into strategic insight - guiding decisions across product, finance, marketing, operations, and merchandising. This role goes beyond building dashboards or pulling reports. You'll help translate complex data into clear, actionable insights that shape business outcomes.

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
  • 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

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

Benefits

  • No benefits