Product Analyst

San Francisco, CA /
Product Team /
Remote
Zuma makes an automated sales agent that converses with 100% of inbound leads, ultimately improving the way consumers interact with businesses and organizations. We’ve built this from the ground up using AI, ML, and human support which helps increase sales conversion and support capacity for businesses of all kinds. Zuma is one of the fastest-growing startups in San Francisco, and is well-funded and backed by world-class investors such as Y-Combinator, Joe Montana’s fund (Liquid 2 Ventures), Day One Ventures, Soma Capital, and other notable angel investors including Austen Allred (from Lambda School), YC’s ex-COO Qasar Younis, among others.

Headquartered in San Francisco, USA, we operate nationally and have plans to grow rapidly over the next few years. To do that, we need great people committed to our vision in a big way. We're looking to build a team of rockstars that are equally excited about the opportunity to leverage technology to improve the way customers interact with businesses!



What you'll be doing:

    • Establish a deep understanding of ResidentBoost customers (multifamily apartment complexes) that is informed by data and used to drive renter conversion initiatives
    • Design A/B experiments to evaluate the impact of changes we make to the product
    • Use SQL to develop data pipelines, write complex queries, and perform analysis
    • Break down nuanced, complex data for partners, keeping context at the forefront of communication
    • Develop and automate reports, iteratively build and prototype dashboards to provide insights at scale, solving for business priorities
    • Collaborate with cross-functional stakeholders to formulate and complete full cycle analysis that includes data gathering, analysis, ongoing scaled deliverables, and presentations
    • Define and monitor key metrics; investigate changes in metrics and propose next steps

What we're looking for:

    • Minimum 2+ years professional experience in a product or data analytics role
    • Professional in SQL and experience using Google Sheets/Airtable
    • Experience accessing and manipulating database data using Python preferred
    • Hardworking, personable, organized, excellent communicator, critical problem solver
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status or other protected classes