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Our mission is to enable effortless credit based on true risk.
Senior Analytics Engineer
Location
United States
Posted
96 days ago
Salary
$163K - $226K / year
No structured requirement data.
Job Description
Senior Analytics Engineer
Upstart
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 - The team operates in all US time zones. 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: - Bachelor’s degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 4 years of experience - 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
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• Design and develop robust and scalable data models for analytical stakeholders • 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
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Date Posted: 2026-03-03Country: United States of AmericaLocation: HCT99: Field Office - CT Remote Location, Remote City, CT, 06101 USAPosition Role Type: RemoteU.S. Citizen, U.S. Person, or Immigration Status Requirements: U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.Security Clearance Type: None/Not RequiredSecurity Clearance Status: Not Required We are seeking a Senior Analytics Engineer to join our Product Lifecycle Analytics team, supporting cutting-edge electro-mechanical systems operating around the world. In this role, you will leverage your deep engineering expertise and strong statistical foundation to help develop and mature an end-to-end digital thread across a portfolio of Collins Aerospace products. As a senior member of the team, you will play a critical role in integrating data across historically siloed business units, transforming complex engineering and operational data into actionable insights. 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Analytics Lead, PLAY
USA TODAY Co.USA TODAY Co., Inc. is a diversified media company with expansive reach at the national and local level dedicated to empowering and enriching communities. We seek to inspire, inform, and connect audiences as a sustainable, growth-focused media and digital marketing solutions company. Through our trusted brands, including the USA TODAY NETWORK, we provide essential journalism, local content, and digital experiences to audiences and businesses.
|Current USA TODAY Co. Employees- Please ensure you are using our abbreviated process on the internal Careers site by logging into Dayforce through MyApps| USA TODAY Co., Inc. is a diversified media company with expansive reach at the national and local level dedicated to empowering and enriching communities. We seek to inspire, inform, and connect audiences as a sustainable, growth focused media and digital marketing solutions company. Through our trusted brands, including the USA TODAY NETWORK, comprised of the national publication, USA TODAY, and local media organizations, including our network of local properties, in the United States, and Newsquest, a wholly-owned subsidiary operating in the United Kingdom, we provide essential journalism, local content, and digital experiences to audiences and businesses. We deliver high-quality, trusted content with a commitment to balanced, unbiased journalism, where and when consumers want to engage. Our digital marketing solutions brand, LocaliQ, supports small and medium-sized businesses with innovative digital marketing products and solutions. USA TODAY Co. open roles are featured on various external job boards. When applying to a position at USA TODAY Co., you should be completing an application on USA TODAY Co. Careers via Dayforce. Job postings directing you to complete an application on other external sites may not be valid. To connect with us, visit www.usatodayco.com About PLAY PLAY is USA TODAY Co.’s emerging casual entertainment hub—bringing games, puzzles, and delightful digital experiences to millions of users. The Analytics Lead will establish the data foundation that drives product innovation, marketing performance, and user engagement. The Analytics Lead for PLAY owns the end-to-end measurement ecosystem that directly drives subscriber and ARPU growth. This role builds the analytical infrastructure and KPI taxonomy tied to monetization (e.g., CAC, LTV, conversion and upgrade rates), then translates behavioral signals into action. Key Responsibilities Measurement Framework & Data Infrastructure - Build and maintain a comprehensive measurement framework for PLAY spanning games, user flows, acquisition, retention, and monetization. - Define KPIs and ensure alignment across product, marketing, and creative teams. - Architect the data structure, tagging plan, and event tracking needed to support deep behavioral analysis. Performance Analysis & Insights - Track and interpret key metrics such as click‑through rates, registrations, subscriptions, retention, and time on site. - Analyze granular gameplay and feature level data to understand engagement, adoption, and drop-off patterns. - Deliver insights in clear, actionable formats to stakeholders across the organization. Analytics Tools & Dashboarding - Leverage Google Analytics (GA4), Big Query, and segmentation tools to inform audience targeting and behavioral analysis. - Build BI dashboards to support realtime reporting for leadership and cross functional teams. - Ensure data accuracy, governance, and consistency across systems. Forecasting & Trend Analysis - Model trends in gameplay behavior, feature adoption, and subscription patterns to inform roadmap planning. - Deliver forward-looking insights on revenue growth, retention, and risk to align creative, product, and marketing priorities. Cross‑Functional Leadership - Act as the analytical expert within the PLAY ecosystem, educating stakeholders on data use and best practices. - Collaborate with Product, Engineering, Marketing, Creative, and Revenue teams to ensure analytics support strategic priorities. Qualifications - 5+ years experience in gaming analytics, product analytics, digital analytics, or related fields. - Expertise with Google Analytics (GA4), experimentation platforms, and BI tools (e.g., Tableau, Looker, Power BI, Google Cloud). - Strong proficiency in SQL, data modeling, and funnel analysis. - Demonstrated ability to translate complex data into simple, actionable insights. - Experience in gaming, subscription products, or digital consumer platforms strongly preferred. - Excellent communication skills and comfort presenting to leadership. - Strong project management skills; able to build frameworks from the ground up. #LI-REMOTE #LI-NR2 The annualized base salary for this role will range between $80,000 and $90,000. Base compensation is reflective of many factors, including, but not limited to, the market in which one lives/works, individual education level, skills, certifications and experience. 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