Upstart
Staff Analyst, Product Analytics
Job Summary
The Staff Analyst role at Upstart involves driving insights and decision-making through data analysis related to the Personal Loans product. Candidates will partner with product, engineering, and data teams to develop analytical frameworks such as cohort and funnel analysis, and to optimize product performance. The position requires extensive experience with analytics tools like SQL, Python, and visualization platforms, along with strong communication skills for storytelling and influencing decisions. The role offers remote flexibility within U.S. time zones and includes benefits such as health insurance, parental leave, and equity compensation.
Required Skills
Benefits
Job Description
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 Team:
As a Staff Analyst on the Personal Loans team at Upstart, you’ll be responsible for driving understanding, insights, decision-making, and data infrastructure relating to the development, optimization, and enhancement of our Personal Loans product. You’ll partner with our Product Management, Engineering, Data Science, and Marketing teams to drive Upstart’s product innovation and growth.
How you’ll make an impact:
- Partner cross-functionally with product and engineering leaders to set the product strategy and analytics roadmap for our Personal Loans product
- Effectively use analytics tools to understand user behavior, funnel performance and the outcome of our product efforts, and make proactive recommendations on how to grow effectively
- Develop appropriate analytical frameworks to drive better decision-making, such as cohort analysis, funnel analysis, A/B testing, 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 product data capabilities, making new data available as the business expands, and accelerate time to insights
- Coach and mentor product analysts on the team
What we’re looking for:
Minimum qualifications:
- Strong analytical and quantitative background with at least 8+ years professional experience, preferably with meaningful experience in 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
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 product organizations, such as funnel analysis, AB testing, user segmentation, market analysis/sizing, etc.
- Experience in coaching and mentoring junior team members on technical subjects
Position location This role is available in the following locations: Remote
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 [email protected]
Upstart
A lending platform using AI to provide personal loans and credit solutions with a focus on fair and fast approvals.
See more jobsSafe Remote Job Search Tips
Verify Employer Thoroughly
Research the company's identity thoroughly before applying. Check for a professional website with contacts, active social media, and LinkedIn profiles. Verify details across platforms and look for reviews on Glassdoor or Trustpilot to confirm legitimacy.
Never Pay to Get a Job
Legitimate employers never require payment for applications, training, background checks, or equipment. Always reject upfront payment requests or demands for bank details, even if they claim it's for purchasing necessary work gear on your behalf.
Safeguard Your Personal Information
Protect sensitive data like SSN, bank details, or ID copies. Share this only after accepting a formal, written job offer. Ensure it's submitted via a secure company system or portal, never through insecure channels like standard email attachments.
Scrutinize Communication & Interviews
Watch for communication red flags: poor grammar, generic emails (@gmail), vague details, or undue pressure. Be highly suspicious of interviews held only via text or chat apps; legitimate companies typically use video or phone calls.
Beware of Unrealistic Offers
If an offer's salary or benefits seem unrealistically high for the work involved, be cautious. Research standard pay for similar roles. Offers that appear 'too good to be true' are often scams designed to lure you into providing information or payment.
Insist on a Formal Contract
Always secure and review a formal, written job offer or employment contract before starting work or sharing final personal details. Ensure it clearly defines your role, compensation, key terms, and conditions to avoid misunderstandings or scams.