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 As a Senior Analytics Engineer at Upstart, you will design and develop robust and scalable data models for analytical stakeholders to empower them to retrieve meaningful insights. Our analytics engineering team is centralized within the company and partners closely with data engineering, data platform, software engineers, ML engineers and cross functional analytics squads to stitch together datasets to create data models that are ready for consumption. In addition to architecting data models, we implement Analytics Engineering best practices around Data Governance, Data Quality, Data Orchestration and pipeline optimization. We enable analysts to think like software engineers by defining, documenting and ensuring adoption of best practices when making contributions to the analytical code-base. Position Location - This role is available in the following locations: Remote, San Mateo, Columbus Time Zone Requirements - Travel Requirements - This team has regular on-site collaboration sessions. These occur 3 days per quarter at an Upstart office. If you need to travel to make these meetups, Upstart will cover all travel related expenses. How you’ll make an impact: Understand how data is produced and consumed at a deep level - you will need to be extremely collaborative with the teams that produce and consume the data to create an end-to-end solution that maximizes the value of our data Lead efforts to design data models and build curated data sets that are the foundation of reporting and analytics at Upstart Collaborate with data engineers and data platform teams to create analytics pipelines Meet consumers of data where they are by wearing an educator’s hat and training them on how to use BI tools and dashboards Be a close strategic partner to analytics squads to participate in decision making on the analytics road map for Upstart What we’re looking for: Minimum requirements: 5+ year(s) of experience as a Data Engineer / Analytics Engineer / BI Engineer Strong understanding of data modeling concepts in both transactional and analytical databases Proven ability to lead cross-team projects to create data models for analytics/reporting purposes Excellent communication and collaboration skills, particularly when explaining technical or complex matters to less technical co-workers Expertise in SQL, Python, and ETL optimization techniques Preferred qualifications: Familiarity with business intelligence visualization tools such as Mode, Looker, Tableau, Power BI, etc. Experience creating curated data models using a data mesh architecture Experience with cloud computing platforms such as Amazon Web Services (AWS), Azure and/or Google Cloud Experience with building Looker data models (LookML), analytics engineering frameworks like dbt, orchestration tools like Airflow, schema design, and dimensional data modeling Thorough understanding of data lake/warehouse architectures (BigQuery, Databricks, Redshift) #LI-REMOTE #LI-Associate 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 $163,600 — $226,400 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

Comcast Advertising is driving the TV advertising industry forward, from delivering ads to linear and digital audiences to pioneering the tech that makes it possible. We help brands connect with their audiences on every screen using advanced data, technology, and premium video content. Our media sales division helps local, regional, and national brands reach potential customers through multiscreen TV advertising. Our ad tech division FreeWheel provides comprehensive adtech that makes it easier to buy and sell premium video advertising across all screens, data types, and sales channels. Job Summary The Sr. Talent Analytics & Insights Partner is a data-driven storyteller who designs and delivers scalable measurement and metrics to help demonstrate the effectiveness and ROI of our talent and learning strategies. They leverage advanced analytics and predictive modeling to identify trends, anticipate talent challenges, and inform proactive interventions that drive business impact. This operates at the intersection of data, strategy, and storytelling, turning complex workforce data into actionable insights and a compelling narrative that influences decisions at all levels. Job Description Core Responsibilities Design scalable measurement frameworks for talent and learning programs to showcase impact and ROI. Tell the holistic talent and learning story through dashboards, reports, and presentations that help drive decision making. Analyze and interpret workforce data to uncover trends, risks, and opportunities across the talent lifecycle. Develop predictive analytics models to identify potential hot spots and inform proactive talent interventions. Partner with HR, Talent, Learning & Performance, and business leaders to translate insights into strategies that future-proof our workforce. Ensure data integrity and compliance while driving innovation in talent analytics practices. Other duties and responsibilities as assigned. What We're Looking For: Expertise in data analytics, visualization, and predictive modeling (SQL, Python/R, Power BI/Tableau). Understanding of HR and talent metrics (engagement, retention, learning effectiveness, performance). Ability to connect data to business outcomes and craft a clear, compelling narrative. Experience with measurement strategy for learning and talent initiatives. Curiosity, adaptability, and a passion for leveraging data to shape the future of work. This role is virtual but it requires you to be located in the Wayne, PA area. Employees at all levels are expected to: Understand our Operating Principles; make them the guidelines for how you do your job. Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services. Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences. Win as a team - make big things happen by working together and being open to new ideas. Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers. Drive results and growth. Support a culture of inclusion in how you work and lead. Do what's right for each other, our customers, investors and our communities. Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We’re looking for a Director, Pipeline Analytics on the Commercial Effectiveness team to help us expand what’s possible for patients with serious diseases. Reporting to the Senior Director, Commercial Analytics, you’ll lead the development of advanced analytics-driven insights that inform commercial strategies for pipeline assets. This role will involve commercial analytics, leveraging real-world data and advanced modeling to shape patient journey insights, segmentation, targeting, and launch optimization. You will collaborate with various cross-functional teams, including Marketing, Market Access, Sales, and Medical Affairs, to ensure that strategic decisions are grounded in data-driven evidence. This is a hands-on role where you will execute all aspects of a project, from data manipulation, analytics, through to creating a narrative and driving the company to action. - Build market opportunity assessments that incorporate epidemiology, treatment flows, and payer dynamics to shape launch strategies - Lead patient journey analysis (e.g., co-morbidities, diagnosis, treatment patterns, LOT Analyses, patient adherence) using APLD and real-world data to identify opportunities and barriers to adoption - Develop robust claims data-based patient and HCP market maps - Develop physician, institution, and patient segmentation models to guide targeting strategies - Collaborate with clinical and forecasting teams to translate patient journey insights, late-stage clinical outcomes into robust commercial forecasts with scenario planning focused on market access, competitive landscape and uptake models - Integrate payer landscape analyses into GTM scenarios to anticipate access hurdles and contracting impacts - Partner with Field Strategy & Operations to align targeting/segmentation outputs with field force sizing, structure, call plans - Apply advanced analytics techniques and drive innovative use of APLD, claims, EMR, and patient-level datasets to strengthen commercial insights - Partner with Marketing to shape product positioning strategies based on analytics-driven insights - Work with Market Access to model pricing, reimbursement, and payer adoption scenarios - Serve as the analytics subject matter expert in cross-functional teams and governance bodies Qualifications - Bachelor’s degree - 7 years of commercial experience in pharma/biotech - Extensive knowledge of pharmaceutical data (e.g., sales, specialty pharmacy, payer, promotional & marketing data, longitudinal patient-level data) - Experience with commercialization of pharmaceutical products - Strong blend of technical proficiency, business acumen, and experience informing business decisions with data - Deep expertise with APLD and real-world data (e.g., claims, EMR, patient-level), including patient journey and treatment flow analyses - Experience within the US market (experience with global markets beneficial) - Excellent communication skills and ability to influence without authority - Solid understanding and expertise in conducting analyses with the goal of garnering actionable insights - Proficient in working with distributed teams in a matrix environment, as well as the ability to work autonomously - Technical proficiency in analytics tools (SQL, Python, R, SAS, or similar platforms) - Ability to utilize different data sets (e.g., marketing data, sales, claims, access) in building models to answer key business questions - Strong verbal and written communication skills - Highly organized with a strong attention to detail, clarity, accuracy and conciseness - Proficient in Microsoft Office (Word, Excel, PowerPoint, Outlook) Requirements - Degree in data science, Health Economics, Statistics, Marketing Analytics, or related quantitative field (nice to have) - MBA, MS or other advanced degree (nice to have) - Rare disease / specialty / respiratory experience (nice to have) Benefits - Comprehensive medical, dental, and vision coverage and mental health support - Annual wellbeing reimbursement, and access to our Employee Assistance Program (EAP) - Generous paid time off policies, fertility and family-forming benefits, caregiver support, and flexible work schedules with purposeful in-person collaboration - 401(k) plan with a competitive company match, annual equity awards, and participation in our Employee Stock Purchase Plan (ESPP) - Company-paid life and disability insurance - Company Learning Institute providing access to LinkedIn Learning, skill building workshops, leadership programs, mentorship connections, and networking opportunities - Employee resource groups, service and recognition programs, and meaningful opportunities to connect, volunteer, and give back Travel Requirements - This role requires occasional domestic travel (approximately 5%–15%).

• Lead complex financial pipeline builds • Collaborate cross-functionally • Build financial reporting infrastructure • Design scalable data models • Optimize and monitor • Enable the team • Integrate cross-functional data