Analytics Engineer

Overview

Vouch is the insurance broker that powers ambition. We’re a tech-enabled insurance advisory and brokerage purpose-built for growing companies in technology, life sciences, and professional services. Our clients are ambitious leaders building complex businesses, and we help them manage risk with tailored advice, smart coverage, and responsive service.

Backed by over $200M from world-class investors, Vouch combines deep industry expertise with AI-powered tools to deliver a better insurance experience. Our digital workflows reduce friction, speed up decisions, and give our clients the confidence to move faster.

Why should you join our team and Vouch?

Not only is this an exciting and growing team where you can drive a real impact on our operational scalability, but Vouch is also the preferred insurance provider to customers of Y Combinator, Brex, Carta, and WeWork. We’re a quickly growing startup that believes in transparency and acknowledgment with our team members and cultivating a values-driven company. Our values are "Be Client Obsessed", "Own it together", "Act with integrity and empathy", "Stay Curious and Grow", and "Empower People."

What does a work environment look like at Vouch?

Vouch has employees located across the U.S., with offices in San Francisco, Chicago, and New York City. This role can be based anywhere in the U.S. as long as you can work our Vouch core collaboration hours (8:30 am-2:30 pm Pacific Time) when most internal meetings are held.

Vouch is looking for an Analytics Engineer to join our team. We’re looking for someone who lives and breathes data and gets excited about data warehouses, building infrastructure to manage fast-changing data assets, and maintaining data quality. You will be the bridge between our data platform and the analysts that rely on it. You will be responsible for modeling complex, interconnected datasets in a scalable, auditable, and reliable manner, ensuring that our data warehouse is both robust and adaptable to support data-driven culture.

You will need to balance technical rigor, domain understanding, and stakeholder communication to maintain and enhance the integrity, reliability, and utility of our analytical data assets.

What You ll Do:

• Architect, build and optimize robust data models in dbt to power business reporting processes and analytics use cases
• Effectively speak with, and listen to, business stakeholders, engineers, designers, executives, etc., so that you can understand business context and design and build single-source-of-truth data assets to drive Vouch’s business
• Support analysts and business stakeholders across GTM, Finance, and Product to design and build data assets
• Act as a liaison between Engineering and Analytics to define source and target fields for data assets
• Partner with upstream Engineering teams to develop new and adapt existing data models as our technology and business evolve
• Clearly document specs and data models with source, description, and field definitions to enhance collaboration, scalability, and usability
• Set up tests to ensure data quality, monitor daily job execution, and diagnose/fix issues to ensure SLAs are met
• Perform root cause analysis for data quality issues, and partner with upstream teams and business stakeholders to rectify dirty, incomplete, or unreliable data
• Maintain and enforce consistent data modelling standards, best practices, and design patterns
• Provide and receive constructive feedback through code reviews, technical specifications, and pair programming sessions
• Use software development best practices with a focus on version control, testing, reliability and maintainability
• Work in dbt, SQL, Snowflake, git, Airflow, Python, Stitch, and welcome new ideas

About You:

• 3+ years experience developing ETL/ELT workflows as a data analytics engineer, data engineer, or data analyst, supporting a variety of business domains
• Advanced experience in SQL, dbt, Snowflake, and git
• Intermediate experience building business reporting processes (e.g. for Finance, GTM, etc.)
• Intermediate experience leveraging data pipeline services like Stitch and orchestration tools like Airflow
• Are excited to learn…