Senior Analytics Engineer

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.

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.

This role is available in the following locations:
Remote, San Mateo, Columbus.

The team operates in all US time zones.

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.

• 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

• Minimum requirements:
  • 5+ years 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
  • Exper…