Staff Analyst, User Behavior Analytics

Who we are

Recharge is the leader in powering physical subscriptions, making it one of the most important ecommerce engines. Recharge powers over 50M subscriptions worldwide and has processed more than 10B in transactions. More than 15K brands such as Verve Coffee Roasters, Bokksu, Who Gives A Crap, Billie, and Bite Toothpaste Bits rely on Recharge daily to grow their businesses and delight their customers.

Recharge’s mission is to enable brands and merchants to form strong, lasting relationships with their customers through recurring purchases. As merchants seek ways to drive more direct sales and distribution through their channels and move away from a reliance on traditional online marketing strategies, Recharge has made it possible to grow businesses with seamless, recurring customer transactions.

Bootstrapped until 2020, Recharge is valued at over 2.1B dollars and is a double unicorn with a total raise of 277M dollars. Join us as we work with our merchants to define the future of ecommerce.

Staff Analyst, User Behavior Analytics

Recharge is positioned to be the best Direct-To-Consumer ecommerce brand in the world. We are introducing multiple products that provide merchants with the tools and insights to create optimal shopper experiences to drive their business growth. 

At the core of our new products, we are building a user behavior analytics platform that serves as a foundation. We are looking for an analyst who is outcome and value driven, and passionate about creating the best merchant and shopper experience with data-driven insights. 

As the lead analyst and subject matter expert in user behavior analytics, the candidate will have an unique opportunity to partner with our product management as well as product and data engineering, to define and drive the adoption of shared user behavior analytics platform. 

You will be responsible for developing queries, data visualizations, and dashboards that answer business questions, making sure they function as designed, and are delivered on time. Staff Analysts are expected to guide senior and junior analysts, especially during code review and query design.

What you’ll do

• Lives by and champions all of our core values (#ownership, #empathy, #day-one, and #humility)
• Partner with the product manager, data engineering, and data technical product manager to define company-wide Segment and Amplitude integration strategy and roadmap.
• Work with the data technical product manager to define event logging taxonomy standards and operations.
• Design and create user experience funnel dashboards to extract required insights: 
• To build Recharge’s up-and-cross sell product experience.
• To deliver value-prop data package for Recharge’s product portfolio
• Demonstrate a solid understanding of eCommerce website event logging and management to lead logging requirements with product and engineering function.
• Demonstrate strong understanding of eCommerce business data models and strong SQL skills to draw connection between business outcome and user behavior. 
• Work independently to find creative solutions to difficult problems, and disseminate findings to stakeholders.
• Consistently demonstrate a willingness to lean in as needed when duty calls.
• Be a point of contact with engineering teams and manage multiple projects.
• Communicate priorities and updates clearly through Slack, email, and on video calls.

What you'll bring

• 7+ years of analytical experience in fast paced environments
• 5+ years of experience in user behavior analytics within a fortune 500 company ecosystem 
• 2+ years of experience developing and operating with Segment/Amplitude
• Proven experience leading cross functional teams to ensure the Product’s impact is felt throughout the business (Marketing, Customer Success, Sales, Finance etc.)
• Strong statistical experience looking at the efficiency of product releases (A/B testing, etc.)
• 3+ years of working within an Engineering development cycle
• Expert in translating data findings to broader audiences including non-data stakeholders, engineering, and executive leadership to maximize impact
• Expert in Business Intelligence and data visualization, including tools like Looker, Tableau, etc
• Experience in dimensional modeling in dbt or Azure
• Ability to demonstrate proficient expertise in Python or R around data engineering or data science
• Ability to demonstrate high self-sufficiency to take on complex problems in a timely manner
• Consistently navigates ambiguous technical and business requirements while making flexible technical decisions
• Consistently delivers technically challenging tasks efficiently with quality, spee