In this role, you’ll be responsible for proactively deriving data insights and partnering with engineering, marketing, design, onboarding and other product business teams to inform how we invest in and build Mercury’s future. You’ll be early to building a data-informed culture across Mercury so that we can all determine what's happening, react quickly, and invest intelligently.

Here are some things you’ll do on the job:

Understand funnels, usage patterns, and long term trends to identify opportunities to improve Mercury’s products
Define and analyze metrics that inform tactical decisions and overall strategy for teams that allow us to monitor the health of our products
Educate teams on how to best use data and define best practices for making decisions on prioritization, experimentation, risk models, and more
Use a variety of exploratory, data visualization, and statistical techniques to uncover actionable insights, including A/B testing, cohort analysis, regression modeling, trend analysis, user segmentation, and machine learning
Assess risk and tradeoffs of different approaches in solutions for Growth, Product, Compliance, or other important areas of the business
Influence and partner with engineering, marketing design, onboarding and business teams to implement data-based recommendations that will improve entrepreneurs’ lives and generate revenue for Mercury

You should:

Have 2+ years of experience working with product teams on goaling, experimentation, funnels, and finding new opportunities with minimal guidance
Have fluency in SQL, and other statistical programming languages (e.g. Python, R, etc.)
Have experience finding valuable insights, crafting data pipelines and dashboards that track progress of teams
Have the ability to proactively ask questions, turn them into analyses, and make your case to various stakeholders, including senior leadership
And ideally, the know-how to make cool graphs

Data Scientist