Analytics Engineer
About The Position
Snout is seeking an experienced and remote Analytics Engineer based in the U.S. to join their fast-growing team. This role is responsible for organizing and integrating databases and software to connect veterinary client data and other sources into powerful, actionable insights. As the sole Analytics Engineer, you will be hands-on in building and maintaining the data infrastructure that powers Snout, including BI integrations, pipelines, and models. You will collaborate with GTM, marketing, CX, and engineering teams to translate business questions into analytics assets. This foundational role is critical for Snout's growth and will directly shape how clinic partners experience the product and how internal teams make decisions.
Requirements
- 5+ years of experience in data analytics, building and maintaining data infrastructure.
- Experience across data and analytics, reporting/visualizations, data warehousing, data testing, and analytics engineering.
- A proven track record of data integration for data model consumption.
- Experience analyzing large datasets from multiple source systems for reporting consumption.
- Hands-on experience with Looker, dbt, SQL, Snowflake, and Fivetran (or similar) and coding with python (or similar).
- Ability to collaborate with various departments in a cross-functional environment to deliver usable insights.
Nice To Haves
- Experience with real-time data streams, cohorting, data classification, and data lineage.
- Experience with cloud-based AWS ecosystems and products.
- Experience at a subscription and/or technology startup.
Responsibilities
- Integrate with veterinary partners' software to develop data pipelines and dbt models to support Snout's data offering, ensuring our infrastructure reliably delivers data to analytics and business systems.
- Understand and translate business needs into executable data transformation models that deliver key technology assets across the organization.
- Provide analytics modeling, data testing, data engineering, and reporting.
- Create algorithms to determine relationships between various data sources and surface insights for end users.
- Discover and deliver insights and reporting to our customers and internal stakeholders.
Benefits
- Day 1 medical/dental/vision benefits
- Flexible time off + 11 Snout calendar holidays
- Paid parental leave
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
