• Designing, implementing, and managing complex data analysis initiatives that support revenue cycle performance and organizational financial objectives • Balancing multiple concurrent requests from a wide range of stakeholders while maintaining accuracy, consistency, and timely delivery of analytical outputs

• Lead development of analysis specifications, develop programs, and conduct analyses while providing technical guidance for Real World Data (RWD) research. • Ensure quality standards and methodological rigor across projects through development of patient cohorts and validation of key variables. • Leadership of RWD analysis strategy and execution. • Lead development of technical specifications and study methodology. • Statistical programming proficiency (R, SAS, SQL., Python). • Oversight of quality control processes. • Cross-functional team collaboration. • Management of project timelines and deliverables. • Development of best practices and standards. • Demonstrated ability to communicate complex analyses to non-technical stakeholders.

Staff Data Analyst Location: United States, Remote Data Analytics About Upstart At Upstart, we’re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence. As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that’s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 1,800 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress. We’re proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn’t mean distant. We’re intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City (opening Summer 2026), you’ll have the support to work in the way that works best for you. If you’re energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we’d love to hear from you. The Team: Upstart’s Servicing Analytics team partners closely with Operations, Product, and leadership teams to improve borrower outcomes and operational effectiveness across the servicing lifecycle. The team combines deep business understanding with analytical rigor to drive strategy, operational insights, experimentation, and scalable reporting solutions. As a Staff Data Analyst at Upstart, you will serve as a strategic analytics partner to Operations and Product leaders, helping shape servicing strategy through data-driven insights and scalable reporting solutions. You will work across ambiguous and evolving business problems, independently identifying opportunities, diagnosing trends, and influencing decision-making with clear analytical recommendations. How you’ll make an impact - Partner with Operations, Product Management, and leadership teams to define success metrics, evaluate operational performance, and influence servicing strategy through data-driven insights - Build and maintain scalable dashboards, reporting frameworks, and business review materials that enable self-service analytics across Operations teams - Diagnose changes in borrower and operational performance metrics by conducting root cause analyses and identifying actionable recommendations - Lead analytical support for product experiments and operational initiatives, including measurement design, performance evaluation, and strategic recommendations - Identify opportunities to improve operational efficiency and borrower outcomes by connecting insights across servicing workflows, agent performance, and payment behaviors - Translate complex analytical findings into clear business narratives for senior stakeholders, including regular presentations to leadership audiences Minimum Qualifications - Bachelor’s degree in Analytics, Engineering, Mathematics, Statistics, or a related field (or its equivalent) plus 6 years of experience - 8+ years of experience in data analytics, business analytics, or a related analytical function supporting business operations or product organizations - Advanced SQL experience, including building complex queries and transforming large datasets for analytical and reporting use cases - Experience building dashboards and automated reporting solutions using BI tools such as Tableau, Looker, or similar platforms - Experience conducting root cause analysis, defining performance metrics, and delivering data-driven recommendations to cross-functional stakeholders Preferred Qualifications - Knowledge of consumer lending, servicing operations, collections, or other financial services domains - Experience supporting product experiments, operational experimentation, or A/B testing initiatives - Ability to navigate ambiguous business problems and independently prioritize analytical opportunities with measurable impact - Skilled in communicating analytical insights and business trends to senior leadership audiences - Experience leveraging AI-enabled tools or automation techniques to improve reporting workflows, analysis, or operational efficiency Position location: This role is available in the following locations: Remote US 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. #LI-REMOTE 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 USD 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). Canada | Remote - Anticipated Base Salary Range $140,300—$175,000 USD What you'll love At Upstart, our benefits are designed to support your health, financial well-being, family, and personal growth. Here’s what you can expect: - Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly - Retirement benefits to help you plan for the future, including a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually (USD in the US, CAD in Canada) - Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only) - Comprehensive health coverage designed to support you and your family, including medical, dental, vision, and wellness resources for US and supplemental health coverage for Canada. - Health Savings Account contributions from Upstart for eligible plans (US only) - Income protection benefits, including life insurance and disability coverage for added financial security - Paid time off, sick leave, and company holidays, in line with local requirements - Paid family and parental leave to support caregiving and major life moments (duration varies by country) - Family-centered benefits to support fertility, parenthood, and caregiving needs - Employee Assistance Program (EAP) offering mental health support and life-centered resources - Financial wellness resources, including access to financial planning tools and a financial concierge service (US Only) - Annual wellness allowance to support your physical and emotional well-being and personal development, based on what matters most to you - Annual productivity allowance to invest in relevant tools and resources you need to do your best work, no matter where you work from - Connection and community through team events, all-company updates, and employee resource groups (ERGs) - Onsite perks, including catered lunches and fully stocked micro-kitchens when working from one of our offices in the Bay Area, Austin, Columbus, and New York City (opening Summer 2026!) For roles based in Canada, please note that we are not currently able to hire in Quebec. Upstart is a proud Equal Opportunity Employer. Just as we are dedicated to improving access to affordable credit for all, we are committed to inclusive and fair hiring practices. 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

Title: Data Analyst I in Patient-Centered Research Location: Remote Mexico Full time Remote The Data Analyst I provides extensive statistical and data programming support across multiple projects within the Patient-Centered Research (PCR) group. The PCR group largely conducts survey (questionnaire) research with sample sizes ranging from quite small (less than 50 patients) to thousands of patients. You would be joining an industry-leading team of 20+ analysts dedicated to PCR science and covering a wide range of projects (e.g., statistical analysis of clinical endpoints, psychometric analysis of patient-reported outcome instruments, discrete choice modelling of patient preferences). The Data Analyst I will primarily conduct descriptive analyses and statistical modelling of clinical outcome assessment data from clinical studies. This role is integral to the success of the organization and works closely with a variety of stakeholders. Essential Responsibilities: - Manage and analyze research data - Review and provide input into statistical analysis plan (SAP), study reports, and other relevant documentation for internal or external communication - Attend regular meetings with research teams Required skills: - Master's degree or equivalent degree in Epidemiology, Health Economics, Biostatistics or related field, or BA/BS degree with at least 3 years of work experience - Minimum of 3 years of SAS and/or R programming experience - Strong written and oral communication skills in English - Advanced knowledge in several of the following methods: Statistical testing (eg t-test, chi-2 test) and analysis of variance/covariance (ANOVA/ANCOVA); Exploratory/confirmatory factor analysis (EFA/CFA); Mixed effects modelling; Various regression techniques (eg linear, logistic, multinomial, ordinal, Poisson); Survival analysis (time-to-event data); Item-response theory (IRT); Data imputation; Multiple testing; Latent class analysis. Desired skills: - Work experience with healthcare or clinical-trial data - Experience of data management following CDISC standards (eg, SDTM, ADaM)