Senior Data Analytics Engineer

About Vouch:

Insurance... sounds slow, old-fashioned, and unexciting. Exactly. Insurance is broken, and it's failing fast-moving, innovative startups.

Vouch is a new, technology-first insurance company backed with $160M in funding from world-class investors. Like Stripe for payments or Brex for credit cards, Vouch is creating the go-to business insurance for high-growth companies.

We're doing this by making insurance fast, responsive, and focused on our customers -high growth and innovative companies. Instead of printed PDF applications and week-long waits, Vouch is building new technology to solve real problems, writing policies that actually cover relevant startup scenarios, and designing simple experiences in an otherwise frustrating industry.

What does a work environment look like at Vouch?

Vouch is a Virtual First Workplace with office locations in SF, Chicago, and NYC . 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.)

The Job:

Vouch is looking for a Data 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 sets, and maintaining data quality. You will have the opportunity to contribute to Vouch’s data assets and help to shape fundamental aspects of our data-driven culture.

Role Responsibilities:

Working with our business operations, finance, sales, marketing, product, and insurance teams to design and build data sets to drive Vouch’s business
Setting up and maintaining timely and reliable ingestion of external data sources via our data loading platforms.
Providing clean, transformed data that is ready to be piped to our product, CRM, Finance, Underwriting, and other relevant systems
Clearly documenting data models with source, description and field definitions for better collaboration, maintainability and usability.
Establishing engineering best practices and methodologies to ensure data transformations and computations are accurate, efficient, and tested.
Working with dbt, Snowflake, Airflow, Python, Stitch, and git, and we welcome new ideas.

About You:

3+ years experience developing ETL workflows as a data analytics engineer, data engineer, or data analyst
Expert in SQL, capable in Python, and experience with Business Intelligence tools such as Looker, Mode Analytics or Tableau
Experience building business reporting processes (e.g. for finance, sales, or business operations)
Uses software development best practices with a focus on testing, reliability and maintainability
Experience working with cloud-based data warehouses like Snowflake, Redshift, or BigQuery
Experience with data transformation tooling (dbt is preferred), data pipeline services like Stitch and Fivetran, and orchestration tools like Airflow
You can effectively talk (and listen) to engineers, designers, executives, and other stakeholders.

Nice to Have:

Exposure to and passion for early-stage startups and/or high growth environments
Previous experience working in user segmentation, attribution, funnel conversion, or similar business analytics problems
A background in insurance or other regulated categories

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