What you’ll do:

• Own and maintain integration between our tools using best practices to ensure a seamless workflow between Snowflake, dbt, and Looker
• Own the dbt infrastructure and maintenance in both dbt Cloud and dbt Core
• Design, build, and improve upon scalable core data models
• Define and implement engineering best practices including peer code reviews, documentation, and testing to ensure successful deliverables and better team alliance
• Engage with cross-functional teams to help understand their requirements at a departmental level; help scope and prioritize these requirements to develop analytics programs and projects
• Create analytics views based on disparate data sets across the commercial functions - sales, marketing, customer success - leveraging business analysts and vendor resources
• Build a partnership with our infrastructure and engineering teams to help drive best practices and continue to build our data infrastructure
• Manage and maintain reporting across commercial teams that drive business insights and create actionable next steps 

What we value:

• 5 years of advanced analytics experience 
• A passion for full stack data modeling and owning the end-to-end process ensuring data quality with a focus on back-end data modeling
• Expert in SQL and relational database design
• Prior experience in design, implementation, and optimization of dbt and Looker models based on business and performance requirements
• Prior experience with CI/CD pipeline and GitHub
• Prior experience with Snowflake and S3 Integrations
• Able to provide ad-hoc data extracts using SQL, Python, R, and Google Sheets
• Advanced problem-solving skills
• A can-do attitude towards examining issues, opportunities, and problems, with the ability to work under their own initiative
• A collective mindset with a proven track record of engaging with multiple stakeholders across different business areas