Staff Analyst, Growth Analytics
United States | Remote
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 and Role:
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.
How you’ll make an impact:
- 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 (CLV), ROI analyses, segmentation, etc.
- Design experiments 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 up-level 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.
What we’re looking for:
Minimum qualifications:
- 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.)
- Bachelor's or advanced degree in Analytics, Data Science, Economics, Engineering, Statistics, 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
Preferred qualifications:
- Experience in technology, marketplace and/or 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, A/B testing, etc.
- Experience in coaching and mentoring junior team members on technical subjects
Position location This role is available in the following locations: San Mateo, California; Columbus, Ohio; Austin, Texas; or Remote USA
Time zone requirements The team operates on the East to 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).
United States | Remote - Anticipated Base Salary Range$157,000—$217,500 USDUpstart 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
ApplyJob Profile
Collaborative environment Dental Equity Impactful mission Remote work
Tasks- Analyze user behavior
- Collaborate with partners
- Data Analysis
- Design experiments
- Drive insights
- Mentor analysts
- Set growth strategy
A/B Testing AI Analytical Analytical frameworks Analytics Analytics engineering Attribution Models C Coaching Communication Customer Lifetime Value Data analysis Data Infrastructure Data Science Design Digital-first Drive Economics Engineering Fintech Growth Marketing Growth Strategy Lending Lending marketplace Looker Machine Learning Marketing Marketplace Mathematics Mode Python Quantitative analysis R ROI frameworks Segmentation Software Engineering SQL Tableau Visualization
Experience6 years
EducationAdvanced degree Analytics Bachelor's Bachelor's degree Business Data Science Economics Engineering Marketing Mathematics Quantitative field Statistics
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9