San Francisco, California, USA
63 days ago
Product Analytics Lead
About Collective:

Collective is on a mission to redefine the way businesses-of-one work. Collective’s technology and team of trusted advisors enables our members to achieve financial independence by taking care of everything from business incorporation to accounting, bookkeeping, tax services and access to a thriving community, all in one integrated platform.  We believe in empowering self-employed people to enjoy the same tax savings that big companies get. 

Featured in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, Techcrunch and more. We’re backed by General Catalyst, Sound Ventures (Ashton Kutcher and Guy Oseary), QED Investors, Google’s Gradient Ventures, Expa and prominent investors who have financed and built iconic companies like YouTube, Substack, Twitch, Box, Hims, Instacart, Lyft, and more.

About the role:

We’re looking for a Product Analytics lead to partner closely with our Product team. At Collective we are building first-of-its-kind, category-defining AI-enabled financial back-office to help millions of solopreneurs run their businesses more effectively. We are backed by top-tier Fintech and AI VCs - General Catalyst, QED, Gradient (Google’s venture fund to invest in AI companies), Expa, and more. 

We pride ourselves in rethinking established paradigms and bringing creative solutions into existence for our customers. As the Product Analytics lead you will help set product strategy, inform the product roadmap, and help drive Collective’s growth through a combination of experimentation, action-oriented data analysis, and customer & product insights.

⚒️Responsibilities: Approach problems from first principles, synthesize large datasets into clear data visualizations + insights to tell compelling stories, get to the “so what” on customer behavior and product initiatives Identify opportunities to drive growth and prioritize them to maximize long term growth Lead experimentation  - all the way from designing tests to analyzing results in order to make launch decisions Use data to understand trends in customer behavior and product usage to influence product strategy Build, monitor, and report on metrics that drive the product strategy and facilitate decision making for key business initiatives  Demonstrate a sense of urgency, attention to detail, and excellent business judgment Define, understand and interpret A/B experiments  Effectively process, cleanse, and combine data sources in useful ways to curate ETL datasets that can be used by the broader team Effectively communicate your work with Product leads and XFN stakeholders regularly
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