Principal Analyst, Growth Analytics

About Upstart

Upstart is a 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 two-thirds of Upstart loans are approved instantly and are fully automated.

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 Team: 

As a Principal Analyst  at Upstart, you’ll be responsible for improving our experimentation frameworks and upleveling experimentation skills and best-practices across the analytics organization. You'll be an expert in causal analysis and  interference modeling, empowering our team  to drive understanding, insights and decision making 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.

How you’ll make an impact:

• Act as the subject matter expert on causality and inference modeling across the analytics organization
• Support the wider analytics team in best-practices for experimentation, developing appropriate analytical frameworks to drive better decision-making and improving the statistical power of our experiments
• Cut experiment results in more interesting ways to aid post-experiment analysis, and in some cases being able to model impact despite low volumes of data
• Collaborate  with machine learning, analytics engineering and software engineering to improve our experimentation infrastructure, ensuring that our capabilities are able to support our business as it expands
• Coach and mentor analysts across the organization

What we’re looking for: 

Minimum qualifications:

• Strong analytical and quantitative background with at least 8+ years professional experience, preferably with meaningful experience in marketing, growth or product analytics or data science
• Proficiency in data analysis tools (SQL, Python / R, Looker / Mode / Tableau, etc.)
• Strong experience with causality and interference modeling to evaluate experiment results and understand business trends
• Strong communication,with experience deriving actionable insights from analysis with a well-balanced rigorous and creative approach to solving difficult and unstructured problems
• Degree in Analytics, Data Science, Economics, Engineering, Mathematics or other quantitative field

Preferred qualifications:

• 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
• 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 coaching and mentoring junior team members on technical subjects

Position location This role is available in the following locations: Remote, USA

Time zone requirements The team operates on the East/West coast time zones.

Travel requirements 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 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.

At Upstart, your base pay is one part of your total compensation package.  The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k).

Upstart is a proud Equal Opportunity Employer. We are dedicated to ensuring that underrepresented classes receive better access to affordable credit, and are just as committed to embracing diversity and inclusion in our hiring practices. We celebrate all cultures, backgrounds, perspectives, and experiences, and know that we can only become better together. 

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email candidate_accommodations@upstart.com

https://www.upstart.com/candidate_privacy_policy