Thrive Market is a membership e-commerce platform on a mission to make the world’s highest quality natural and organic products affordable for every American family. For $60/year, Thrive members get access to their favorite healthy snacks, supplements, home, beauty, and baby products at 30-50% off retail value—all shipped to their front door for free.

As part of our Thrive Gives initiative, each paid membership on the site also sponsors a free membership for those in need. Wholesome products at wholesale prices, we're Thrive Market and we can't wait to be connected with you.

As our Data Team continues to grow, we need a leader with the passion, experience, skills, and ability to turn our data into actionable insights. As our Senior Data Analyst, you'll provide expertise in bridging business and product needs with data solutions. As Thrive continues to be a data-informed company, you’ll build the team and processes that ensure the quality of the data and the solutions provided.

Responsibilities

• Contribute to multiple projects and efforts to orchestrate and deliver cohesive data engineering solutions in partnership with various functional teams at Thrive Market
• Collaborate with other technical teams to deliver data solutions that meet business and technical requirements; define technical requirements and implementation details for the underlying data lake, data warehouse, and data marts
• Identify, troubleshoot, and resolve production data integrity and performance issues
• Collaborate with all areas of data management as lead to ensure patterns, decisions, and tooling are implemented by enterprise standards
• Perform data source gap analysis and create data source/target catalogs and mappings
• Develop a thorough knowledge and understanding of cross-system integration, interactions, and relationships to develop an enterprise view of Thrive Market’s future data needs
• Develop a deep understanding of user behavior patterns and insights and correlate engagement metrics with conversion rates, customer lifetime value, and financial performance
• Develop dashboards, visualizations, and granular datasets that provide actionable insights on subscriber acquisition user flow enhancements
• Serve as tactical liaison for Product Management teams to provide the most accurate and relevant information to help drive meaningful business decisions
• Continually design, test, and deploy new reports - all to provide a state-of-the-art reporting environment
• Respond to ad-hoc reporting needs while ensuring data accuracy & integrity
• Adapt and move quickly in a fast-paced environment, with a pragmatic approach to analysis
• Leverage external industry data to identify assortment gaps and category opportunities
• Create price optimization tools & analysis to help category managers make the best pricing decisions vs. competitive sites
• Partner with the Finance team to translate product decisions into member and financial impact for our business
• Develop a deep understanding of user behavior patterns and insights and correlate engagement metrics with conversion rates, customer lifetime value, and financial performance
• Develop dashboards, visualizations, and granular datasets that provide actionable insights on merchandising, category behavior & margin opportunities
• Serve as tactical liaison for Product Management teams to provide the most accurate and relevant information to help drive meaningful business decisions
• Continually design, test, and deploy new reports - all to provide a state-of-the-art reporting environment
• Respond to ad-hoc reporting needs while ensuring data accuracy & integrityAdapt and move quickly in a fast-paced environment, with a pragmatic approach to analysis

Qualifications

• M.S. or Ph.D degree in statistics, computer science, operations research, computational physics, or a related field
• 7+ years of work experience with a proven track record in data science and data analytics
• Proficiency in at least one high-level programming language like Java / Scala / Python / C++ and SQL
• Experience with large-scale data analysis in Hive or Spark is a plus
• Experience in e-commerce and subscription businesses, billing cycles, and payment instrumentsExperience with Snowflake or similar DB, large data ETL, and advanced SQL
• Experience in statistics and multivariate regression
• Strong data visualization skills; and familiarity working with Domo, Tableau, or similar technologies
• Ability to simply and persuasively communicate key insights to non-technical stakeholdersIntellectual curiosity and a strong sense of initiative
• Ability to demonstrate flexibility and integrity: be able and willing to work hands-on, independently or with a small team providing leadership
• Passion for turning data into insights and helping others unlock the power of their data
• Good leadership skills with a positive attitude and a proactive / self-starter mindset
• Be a team player with character, high humility, and integrity, helping build a healthy team environment
• Proven ability to clearly articulate data stories to business and technical audiencesProficiency and solid foundation in statistics
• Proficiency in web analytics tools including Google Analytics, Amplitude, Mixpanel
• Proficiency in business intelligence dashboarding tools like Tableau, Looker, Domo, or similar
• Experience with A|B testing is a plus