We’re building consumer and enterprise systems at the intersection of e-commerce, fintech, and logistics that will change our relationship with the things we purchase. We’re pre-market, envisioning an entirely new consumer finance paradigm and developing its first version. Note that we’re a distributed team collaborating remotely and meet up in person quarterly.

We’re inviting individuals with a deep knowledge in product analytics and data storytelling to join the TipTop core team. As a Product Analyst, you will be responsible for analyzing and interpreting user data to drive product improvements and enhance the overall user experience on our platform. The ideal candidate will have a strong background in SQL, experience in statistical hypothesis testing, excellent data visualization skills, financial forcasting, and a passion for effectively communicating complex data insights.

You Will:

• Utilize a variety of statistical analysis techniques to identify opportunities for product enhancements and inform decision-making processes.
• Design, conduct, and analyze experiments (A/B tests) to evaluate the impact of product changes on user engagement and retention.
• Develop and maintain SQL queries, scripts, and dashboards to collect, aggregate, and transform data from various sources.
• Collaborate with Product Managers, Engineers, Machine Learning and Designers, to define key metrics, goals, and hypotheses for analyzing product performance.
• Build and own company wide dashboards and decks using tools like Amplitude, mParticle, BigQuery.
• Provide metrics and financial forcasting directly to the CEO and Board of Directors.

You Have:

• 5+ years of experience as a product analyst or data scientist analyzing large datasets to identify trends, patterns, and insights related to user behavior, usage patterns, and product performance.
• Exceptional problem-solving skills and the ability to independently analyze and interpret data to derive actionable insights.
• Excellent communication skills with the ability to effectively communicate complex data concepts to both technical and non-technical stakeholders.
• Strong expertise in SQL and Python for data analysis, with a proven ability to work with complex datasets and write efficient queries.
• A desire to experiment, test assumptions, and challenge hypotheses rapidly.
• The ability to see complex problems as solvable challenges.

Even Better:

• Prior experience working in retail or ecommerce.
• Knowledge of statistical analysis techniques and experimental design.
• Familiarity with iOS and mobile app development concepts is a plus.
• Passion for building, bias for action, and are excited by uncertainty.
• You are autonomous and adaptable – own the work, move fast, react quickly.