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 plays a critical role of providing analytical capability for Upstart's servicing functions to enable data-driven decision making. We leverage our analytical and technical skills to support our partners with a multitude of services.. As the Staff Data Analyst on the Servicing Analytics team, you will play a pivotal role in influencing Upstart’s success. Partnering closely with our Servicing product management, operations, engineering, and ML teams, you’ll work directly with key stakeholders, helping drive understanding, insights, decision-making, and data infrastructure relating to the development, optimization, and enhancement of our recoveries and collections strategy. You’ll contribute to key areas such as identifying areas of opportunity via business reviews with leaders and product experiments, and driving operational efficiency. This role involves conducting in-depth analyses, building business intelligence pipelines, designing A/B tests, and collaborating with cross-functional teams to drive impacts. How you’ll make an impact Lead the development of analytical capabilities to support servicing initiatives and drive efficiency improvements.Create regular executive level presentations to communicate findings and strategic recommendations. Design experiments and conduct quantitative analysis to test hypotheses about our users and the way they interact with our servicing initiatives, and collaborate with partners to prioritize the right problems and opportunities. Collaborate with analytics engineering and software engineering to continuously up-level our servicing data capabilities, making new data available as the business expands, and accelerate time to insights. Develop and maintain business intelligence tools to support reporting and decision-making. Mentor junior team members while fostering a culture of excellence in data and analytics, positioning the team as a hub of expertise and innovation Minimum Qualifications - 8+ years work experience in increasingly senior analytical roles in technology and finance industry - Strong background in payments, product, or operations analytics, with hands-on proficient in SQL, Python and/or R - Exceptional track record of deriving actionable insights from analysis and analytical storytelling - Experience working with large datasets, unstructured data, data modeling, and data pipelines using tools like Databricks, DBT, Looker, Snowflake, Redshift, Tableau, Mode - Degree in Economics, Statistics, Mathematics, Engineering, Data Science or other quantitative fields, providing a solid grounding in analytical and problem-solving skills essential for success Preferred Qualifications - Strong analytical and quantitative background with experience in conducting and evaluating A/B tests, ideally in Financial and/or Operational related fields - Expertise in consumer lending, and knowledge of post origination servicing and/or operations - Skilled at crafting executive-ready narratives around complex business topics and successfully influence VP+ decision making - Demonstrated ability to work collaboratively and in deep partnership with cross-functional teams - Demonstrated ability to balance multiple workstreams and priorities; experience influencing up and cross functionally to maximize positive impact to the organization - Experience in coaching and mentoring junior team members on technical subjects Position location This role is available in the following locations: Remote 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 #LI-MidSenior 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 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 - Generous 401(k) plan with Upstart matching $2 for every $1 contributed, up to $15,000 per year - Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees - Affordable medical, dental, and vision coverage, with multiple plan options - Upstart covers 90% to 100% of the cost depending on the plans you choose - Health Savings Account contributions from Upstart for eligible plans - Income protection benefits, including company-paid Basic Life, AD&D, and Short- and Long-Term Disability coverage, with options to purchase supplemental coverage - Paid time off, sick and safe time, and company holidays - Paid family and parental leave to support caregiving and major life moments - Family-centered benefits through Carrot and Cleo, supporting fertility, parenthood, and caregiving - 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 - 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 and onsites, all-company updates, and employee resource groups (ERGs) - Onsite perks, including catered lunches and fully stocked micro-kitchens when working from one of our four offices, located in the Bay Area, Austin, Columbus, and New York City (opening Summer 2026!). 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

• Lead the development of analytical capabilities to support servicing initiatives and drive efficiency improvements. • Create regular executive level presentations to communicate findings and strategic recommendations. • Design experiments and conduct quantitative analysis to test hypotheses about our users and the way they interact with our servicing initiatives, and collaborate with partners to prioritize the right problems and opportunities. • Collaborate with analytics engineering and software engineering to continuously up-level our servicing data capabilities, making new data available as the business expands, and accelerate time to insights. • Develop and maintain business intelligence tools to support reporting and decision-making. • Mentor junior team members while fostering a culture of excellence in data and analytics, positioning the team as a hub of expertise and innovation

Title: Data Analyst (TPS 4) Salary $78,912.00 - $106,104.00 Annually Location Thurston County – Olympia, WA Job Type Full Time - Permanent Remote Employment Remote Optional Job Number 26DOT-HQ-04026 Department Dept. of Transportation Division Headquarters Job Description: About WSDOT Washington State Department of Transportation (WSDOT) is a multimodal organization with a global reputation for excellence! Our dedicated workforce is responsible to plan, design, build, and operate an integrated transportation system that safely and efficiently moves people and goods throughout the state. In addition to maintaining over 18,000 lane miles of state highway and 4,100 bridges, WSDOT manages the world's longest floating bridge, executes an award-winning Active Transportation Plan, holds a record for the world's widest tunneling project, and operates the largest ferry system in the nation! The Opportunity WSDOT is seeking a detail-oriented Transportation Planning Specialist 4 to serve as a Data Analyst. This primarily remote position leverages advanced data analysis expertise to lead transportation-related studies and evaluations, supporting the Public Transportation Division's (PTD) mission. In this role, you will conduct in-depth analysis of PTD programs, oversee the collection and management of data, and transform complex information into clear, actionable insights. Your work will directly support internal and external partners in making informed, data-driven decisions; evaluating program effectiveness; communicating program impacts; and meeting state and federal reporting requirements. You will also play a key role in advancing PTD's data capabilities by identifying opportunities to improve data collection, management, and accessibility. This includes developing and implementing data systems that support public transportation programs, projects, and policies, as well as enhancing colleagues' access to meaningful data products. This position may lead cross-functional teams, collaborate with contractors, and serve as a trusted resource in strengthening data-informed decision-making across the agency. What to Expect Among the varied range of responsibilities held within this role, the Data Analyst will: - Lead efforts to collect, manage, and analyze public transportation datasets. - Develop data dashboards, automated reporting scripts, compelling graphics and data visualizations, survey data analysis, and maps. - Lead efforts to apply theoretical and practical statistical analytics, determine evaluation methods, and implement evaluation methods of data sets. - Support PTD colleagues' work with data-specific expertise such as assisting with outcome measurement planning, survey design, data collection and integration, data visualization, updating and applying fund allocation formulas, and other work as needed. - Supervise one Transportation Planning Specialist 3 (TPS3 / Data Analyst). Qualifications To be considered for this opportunity, the following are required: - Advanced Data Analysis & Program Evaluation: Demonstrated ability to apply advanced principles of data analysis, including statistical methods, performance measurement, and program evaluation, to assess public transportation programs and inform decision-making within a public-sector environment. - Data Governance & Quality Management: Demonstrated experience developing and applying data collection methodologies, ensuring data quality, and implementing data governance best practices, including compliance with federal and state laws, policies, and industry standards. - Data Product Development & Visualization: Proven ability to design, develop, and maintain data products such as dashboards, automated reports, visualizations, survey analyses, and geospatial tools that effectively support decision-making, transparency, and accountability. - Program Evaluation & Outcome Measurement: Demonstrated ability to apply program evaluation frameworks and outcome measurement techniques to assess program effectiveness and support funding allocation and policy decisions. - Database & Data Systems Management: Experience supporting database design, documentation, security, and accessibility, including working within enterprise data systems and shared data environments to ensure reliable and usable data. - Organizational & Policy Acumen: Knowledge of and ability to navigate organizational structures, decision-making processes, and policy development within a transportation or public-sector agency to align data efforts with strategic priorities. - Leadership & Supervision: Demonstrated ability to supervise, mentor, and develop staff in data-focused roles, including assigning work, reviewing deliverables, managing performance, and fostering technical skill growth. - Analytical Project Leadership: Proven ability to lead complex data analysis efforts from concept through implementation, including selecting appropriate methodologies and translating results into actionable insights. - Communication & Data Storytelling: Demonstrated skill in communicating technical concepts, analytical findings, and recommendations clearly and effectively to both technical and non-technical audiences through reports, presentations, and discussions. - Collaboration & Cross-Functional Coordination: Demonstrated ability to collaborate with internal and external partners, including data specialists and contractors, to ensure alignment with agency standards, data integrity, and successful project outcomes. - Workload Management & Adaptability: Proven ability to manage multiple priorities, respond to ad hoc analytical requests, and deliver high-quality work in a fast-paced, deadline-driven environment. - Strategic Decision Support: Ability to apply analytical expertise to provide data-informed recommendations that support transportation planning, policy development, and continuous program improvement. - Data Stewardship & Compliance: Demonstrated ability to ensure data integrity, accessibility, and appropriate use while balancing transparency, security, and regulatory compliance. - Independent Judgment & Problem Solving: Ability to exercise independent judgment in selecting analytical approaches, prioritizing work, and resolving complex data-related challenges. - Leadership Through Influence: Demonstrated ability to lead and coordinate work across teams and disciplines, including influencing outcomes without direct authority. - Equity, Inclusion & Organizational Values: Ability to contribute to and promote a work environment that values respect, inclusion, collaboration, and continuous improvement. - Growth Mindset: Actively demonstrates a commitment to learning and growth. - Service-Oriented: Takes action to meet the needs of others. It is preferred that qualified candidates also demonstrate: - Data Analysis & Program Evaluation: Demonstrated ability to apply progressively responsible professional experience in data analysis, program evaluation, or performance measurement to assess and improve public-sector or transportation-related programs. - Data-Informed Decision Support: Proven experience leading or supporting data-driven decision-making for public transportation, infrastructure, or other government programs, providing actionable insights that inform policy, funding, or operational strategies. - Analytical Product Development: Demonstrated ability to design, develop, and maintain dashboards, automated reports, surveys, or other analytical tools that measure program outcomes, track performance, and support evidence-based decision-making. - Leadership & Mentorship: Experience supervising, mentoring, or developing professional or technical staff, or leading data-focused initiatives through influence without direct authority, promoting accountability, skill growth, and team effectiveness. - Complex Data & Systems Management: Demonstrated experience working with large, complex datasets, shared data systems, or enterprise-level data environments to ensure accuracy, accessibility, and integrity of data used in program evaluation and reporting. - Public Transportation Knowledge: Familiarity with public transportation programs, funding structures, and reporting requirements at the state or federal level, and ability to apply this knowledge to data analysis, evaluation, and decision-making. Important Notes - This recruitment may also be used to fill additional positions per business needs. - This position is eligible for remote work up to 100%, per supervisor approval. - To review the full Position Description, please follow the directions in the "Contact Us" section of this posting. - In addition to base salary, employees may be entitled to other forms of compensation depending on the type, duties, or location of the position. For union-represented positions, more information on other forms of compensation can be found in the applicable Collective Bargaining Agreements. Information on other compensation types for non-represented positions can be found in Chapter 357-28 of the Washington Administrative Code. - WSDOT does not use the E-Verify system, therefore we are not eligible to extend STEM Optional Practical Training (OPT). For more information, please visit www.uscis.gov. Why WSDOT - Work-Life Balance - We offer flexible work schedules that allow you time for your life outside of this excellent opportunity. - Paid Leave - In addition to 12 paid holidays, full-time employees may earn up to 25 paid vacation days per year! - Tuition Assistance - Permanent employees have several options for assistance with education expenses, including tuition reimbursement programs, government discounts at participating colleges throughout the state, and eligibility for federal student loan forgiveness. - Plan For Your Future - WSDOT offers a comprehensive benefits package that includes a variety of healthcare options. Employees also have their choice of state retirement programs, and much more. Go to State Benefits for more information. Check out this video to learn more: Why WSDOT? WSDOT is an equal opportunity employer. We value the importance of creating an environment in which all employees can feel respected, included, and empowered to bring unique ideas to the agency. Our diversity and inclusion efforts include embracing different cultures, backgrounds and viewpoints while fostering growth and advancement in the workplace. All persons, regardless of race, ethnicity, age, veteran status, sexual orientation, and/ or gender identity, are encouraged to apply. Persons with disabilities needing assistance in the application process, or those needing this job announcement in an alternative format may contact the recruiter listed. Contact Us For inquiries about this posting, you may contact the assigned Recruiter, Amanda Strebeck. Please be sure to reference Data Analyst #04026 in the subject line.

• Analyze, evaluate, and improve the quality of multilingual text classifier outputs. • Partner with linguistics and engineering teams to develop and refine language-specific parsers. • Translate and validate taxonomy content such as Skills, Titles, and Occupations from English to German (and/or German to English as needed). • Identify patterns in data errors and contribute to ongoing improvements in rules, logic, and workflows. • Document findings clearly and follow established processes to ensure consistency and quality.