About the company
Public is an investing platform that allows people to invest in stocks, ETFs, treasuries, crypto, art, collectibles, and more – all in one place. Public’s platform helps people be better investors with access to custom company metrics, live shows about the markets, and real-time analysis. Members control how they invest with a suite of powerful tools, and get insights from a community of millions of investors, creators, and analysts. Since 2019, Public has raised over $300 million. Investors include Accel, Tiger Global, Will Smith's Dreamers VC, The Chainsmokers' Mantis VC, and Shari Redstone's Advancit Capital, as well as renowned figures in business and culture, like Maria Sharapova, Tony Hawk, and NYU Stern professor Scott Galloway.
Job Summary
What you’ll do:
📍Lead analytics solutions end-to-end, including data gathering, modeling, problem-solving, and communication of insights and recommendations. 📍Apply advanced analytical techniques - predictive modeling, user segmentation, and customer LTV analysis - to understand customer behavior, forecast outcomes, and measure success of our growth & lifecycle marketing efforts. 📍Build and manage impactful reporting, dashboards, data models, and tools to support cross-functional teams and further our self-service reporting capabilities. 📍Conduct in-depth analyses of our users and product, identifying opportunities for growth and efficiency that move core business metrics. 📍Participate in code reviews and provide feedback to other data team members to ensure code quality and maintainability. 📍Collaborate across the organization working closely with Marketing, Product, Brokerage, and Finance.
Who you are:
📍5-7 years of experience in a data-professional capacity such as Data Analyst, Data Scientist, and/or Analytics Engineer, with a proven track record of driving business impact. 📍2+ years specifically working in growth and/or marketing analytics. Fundamental understanding of D2C businesses and unit economics. 📍Experience working in fast-paced, high-growth environments, preferably at another consumer fintech. 📍Highly motivated, self-starter who can operate autonomously throughout an organization across all levels and manage multiple projects at once. 📍Expert SQL skills to build datasets that enable ad-hoc analyses and efficient visualization. 📍Advanced Python skills (or another scripting language used for data science & forecasting analysis). 📍Expertise in modern data stack & tools, preferably with Airflow, Fivetran, Snowflake, dbt, Looker, HighTouch, and Segment. 📍Excellent verbal and written communication skills with the ability to collaborate effectively with both technical and non-technical partners.
