Analyst, Analytics

About Upstart

Upstart is the leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. By leveraging Upstart's AI marketplace, Upstart-powered banks and credit unions can have higher approval rates and lower loss rates across races, ages, and genders, while simultaneously delivering the exceptional digital-first lending experience their customers demand. More than 80% of borrowers are approved instantly, with zero documentation to upload.

Upstart is a digital-first company, which means that most Upstarters live and work anywhere in the United States. However, we also have offices in San Mateo, California;
Columbus, Ohio; and Austin, Texas.

Most Upstarters join us because they connect with our mission of enabling access to effortless credit based on true risk. If you are energized by the impact you can make at Upstart, we’d love to hear from you!

The Growth Analytics team executes on a wide range of end-to-end analytical problems, drives decision analysis, and develops a deep user understanding across several key marketing channels, including Direct Mail, Partnerships, Email, and Digital (which includes Social, Search, SEO, and others).

As a Staff Analyst, Growth Analytics at Upstart, you’ll be responsible for driving understanding, insights, decision making and data infrastructure relating to acquiring and retaining borrowers on our platform. You’ll partner with our Growth Marketing, Product, Engineering and Machine Learning teams to drive Upstart’s growth.

• Partner cross-functionally with channel owners, product and engineering leaders to set the growth strategy and analytics roadmap for multiple products at Upstart
• Effectively use analytics tools to understand user behavior, funnel performance and the outcome of our growth efforts, and make proactive recommendations on how to grow effectively
• Develop appropriate analytical frameworks to drive better decision‑making, such as attribution, lifetime value, ROI analyses, segmentation, etc.
• Design and conduct quantitative analysis to test hypotheses about our users and the way they interact with our product, and collaborate with partners to prioritize the right problems and opportunities
• Collaborate with analytics engineering and software engineering to continuously uplevel our growth data capabilities, making new data available as the business expands, and accelerate time to insights
• Coach and mentor growth analysts on the team

• Strong analytical and quantitative background with at least 6+ years professional experience, preferably with meaningful experience in marketing, growth or product analytics
• Proficiency in data analysis tools (SQL, Python / R, Looker / Mode / Tableau, etc.)
• Degree in Analytics, Data Science, Economics, Engineering, Mathematics or other quantitative field
• Strong communication and analytical storytelling skills, experience deriving actionable insights from analysis, a well‑balanced rigorous and creative approach to solving difficult and unstructured problems

• Deep expertise in applying analytics and data science techniques to drive impacts in growth and marketing organizations, such as attribution models, customer lifetime values, ROI frameworks, AB testing, etc.
• Experience in technology, marketplace, fintech companies with knowledge of consumer financing
• Ability to craft executive‑ready narratives around complex business or performance topics, leveraging visualization and dashboards to successfully influence and drive C‑level decision‑making
• Experience in coaching and mentoring junior team members on technical subjects

This role is available in the following locations:
Remote

As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to still spend high quality time in‑person collaborating via regular onsites. The in‑person sessions’ cadence varies depending on the team and role; most teams meet once or twice per quarter for 2‑4 consecutive days at a time.