Analytics EngineerVouch 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.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.Role Responsibilities: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 casesEffectively speak with, and listen to, business stakeholders, engineers, designers, executives, etc., so that you can understand business context and support analysts/business stakeholders across GTM, Finance, and Product to design and build single-source-of-truth data assets to drive Vouch's businessAct as a liaison between Engineering and Analytics to define source and target fields for data assetsPartner with upstream Engineering teams to develop new and adapt existing data models as our technology and business evolveClearly document specs and data models with source, description, and field definitions to enhance collaboration, scalability, and usabilitySet up tests to ensure data quality, monitor daily job execution, and diagnose/fix issues to ensure SLAs are metPerform root cause analysis for data quality issues, and partner with upstream teams and business stakeholders to rectify dirty, incomplete, or unreliable dataMaintain and enforce consistent data modelling standards, best practices, and design patternsProvide and receive constructive feedback through code reviews, technical specifications, and pair programming sessionsUse software development best practices with a focus on version control, testing, reliability and maintainabilityWork in dbt, SQL, Snowflake, git, Airflow, Python, Stitch, Mode, and we welcome new ideas!About You:3years experience developing ETL/ELT workflows as a data analytics engineer, data engineer, or data analyst, supporting a variety of business domainsAdvanced experience in SQL, dbt, Snowflake, and gitIntermediate experience building business reporting processes (e.g. for Finance, GTM, etc.)Intermediate experience leveraging data pipeline services like Stitch and orchestration tools like AirflowAre excited to learn about Vouch's business models, and dig into our business processes to understand how data is generatedAre energized by business impact & a self-starterAdvanced communication skills and the ability to explain complex concepts to both technical and non-technical audiencesThrive in cross-functional projects that have a heavy combination of technical requirements and user-focused workflowBasic experience with business intelligence tools such as Mode AnalyticsBasic experience in Python, Airflow, Stitch(BONUS) Familiarity with insurance or financial services data modeling(BONUS) Exposure to and passion for early-stage startups and/or high growth environmentsAnalytics Tools & Technologies at Vouch:SQL, dbt, PythonSnowflake, Airflow, Stitch, Mode Analytics, Postgres, Kafka (Confluent)AWS, GitHub, Atlassian Stack (Jira, Confluence)Vouch provides several benefits to help you bring your best self to work:Competitive compensation and equity packagesHealth, dental, and vision insuranceParental leaveFlexible vacation timeWellness allowanceTechnology allowanceCompany-sponsored personal and professional developmentL&D: Partnerships with Ethena and monthly Lunch & LearnsWellbeing: access to many wellbeing perks, including Peloton, Fetch, OneMedical, Headspace care+, etc.Caregiver Support: company seed into the dependent care FSA and company sponsored Care.com membership.Regular performance reviews: Vouch conducts regular performance discussions with all team members, offering goal setting and check-ins, development discussions, and promotion opportunities.What to expect in a typical interview process:(Please note these steps may vary slightly depending on the role)30-minute phone call with our recruiting team60-minute video interview with the hiring managerTechnical screenMeet the team! 30-45 min 1:1 video discussion with 3-4 team members you'd work closely with in the roleOur salary ranges are based on paying competitively for our size and industry and are part of our total compensation package, which also includes benefits and other perks. We also include stock options in all compensation packages and believe all Vouch employees should have the opportunity to become owners in the company. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, skill set, location, and business need. The pay range provided is subject to change and may be modified in the future.Vouch believes in putting our people first, and building a diverse team is at the front of everything we do. We welcome people from different backgrounds, experiences, perspectives, and ranges of abilities. We are an equal-opportunity employer and celebrate the diversity of our growing team. Experience: 3 years required