Stori has a standout founder team among fintech startups, leveraging 100+ years of accumulated experience in consumer finance, banking and technology across Mastercard, Intel, Capital One, Morgan Stanley, GE Capital, and HSBC across the US, Mexico and Asia. The team has launched and managed many multi-million-customer credit card products globally, providing a wide breadth of experience and knowledge to our team.

We welcome diversity of background, experience and thinking. Storians are passionate about our mission and take pride in the products we build. Our culture thrives off of a flat structure and an inclusive environment where all of our employees can be their authentic selves, with boundless opportunities for professional growth.

What We Are Looking For

• 1-2 years of work experience in a data-centric or business modeling roles (likely credit, consulting, or banking but we are open to other relevant work experience)
• An analyst who loves digging into large data sets and proactively improving their skillset - our analysts primarily work in SQL & Python, but an understanding of programming and data structures in any language can get you started
• Someone who can effectively draw insights from data, produce visualizations to explain complex concepts, and drive recommendations backed by data
• Someone who is self-motivated, driven, and willing to tackle a problem head-on with a strong desire to continuously & proactively learn and improve
• A team player who knows how to communicate effectively, collaborate cross-functionally, and optimize for the entire company
• A Bachelor’s degree in Economics, Engineering, Math, or other quantitative discipline
• Fluency in English
  
  

Your Role

• Increase Stori’s business and customer understanding through data analysis & visualization, A/B testing, and statistical modeling
• Monitor & evaluate business performance by pulling data from Amazon Redshift and creating dashboards in Amazon Quicksight
• Drive analysis to glean business or customer insights, prioritize and forecast impacts of initiatives or product/feature development, and make strategic recommendations
• Automate data-driven processes to free up time to think about how to drive more value
• Work cross-functionally with other verticals like Product, Finance, Data Science, or Operations to define priorities and implement strategic recommendations