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 Thrive Market continues to grow at an incredible rate, you'll have the opportunity to build the data infrastructure at the heart of the business. At Thrive, we've created a transparent, data-centric environment from the beginning and we'll need your help building out our existing data warehouse to provide reporting and data for our Business Departments.

Using your own knowledge of industry best practices, you will influence overall business strategy and product management efforts. You should love business analysis, analytics, data modeling, and accelerating growth. This isn’t a job to own some boring tools or to create charts that nobody uses. This is an opportunity to help revolutionize how Thrive Market leverages its data to make strategic business and product decisions to grow the business. If you are someone who loves empowering others with data analysis and thrives on helping people find and understand the information they need at the moment they need it, then this is a great role for you.

As our Data Team continues to grow, we need a leader who has the passion, experience, skills and ability to turn our data into actionable insights. As our Data Analytics Lead, you'll provide expertise into 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

• Lead multiple projects and efforts to orchestrate and deliver cohesive data engineering solutions in partnership with various functional teams at Thrive Market
• Be hands-on and take ownership of the complete cycle of data services, from data ingestion, data processing, ETL to data delivery for reporting
• Collaborate with other technical teams to deliver data solutions which 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 is implemented in accordance with 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 in order 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 with the goal of providing 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 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 with the goal of providing 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

Qualifications

• M.S. or Ph.D degree in statistics, computer science, operations research, computational physics or related field
• 7+ years of work experience with proven track record of data science and/or 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 ecommerce and/or subscription businesses, billing cycles, and payment instruments
• Experience 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 stakeholders
• Intellectual 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 audiences
• Proficiency and solid foundation in statistics
• Proficiency at web analytics tools including Google Analytics, Amplitude, Mixpanel
• Proficiency at business intelligence dashboarding tools like Tableau, Looker, Domo or similar
• Experience with A|B testing a plus