Senior Analytics Engineer, GTM

Senior Analytics Engineer, GTM 

About the Role

We are building out our Data Platform team at Sigma, with a relentless focus on developing data models that fuel trusted insights across the company. As a Senior Analytics Engineer, you will be responsible for building, documenting, and educating our internal customers on how to best use our data products in Sigma. You will also be challenged to advocate for the vision and direction of our product through the lens of how a data team wants to work with a best-in-class BI tool. If you’re passionate about analytics engineering and the future of analytics, let’s chat!

What You Will Be Doing

• Architect and manage our production data models in Snowflake and how they are consumed in Sigma, including writing documentation and generating data tests. (Tech we use: Fivetran, dbt, Snowflake, Sigma, Hightouch, Metaplane)
• Give power to the people. People are our strongest asset and we need you to work with team members from across the company to get them the data they need to support the business
• Build and maintain corporate reporting assets across respective GTM / Operations domains (e.g., Finance, Customer Success)
• Work cross functionally to accomplish all of the above! You’ll work across Product, Engineering, Sales, Marketing, Partnerships, and with users of all skills and levels

Qualifications We Need

• Strong knowledge of data modeling and warehouse optimizations (bonus points for any public facing repos or bodies of work you can point us to!). 
• Detail oriented. Our data models are production systems and we need someone meticulous to maintain them!
• Strong communication and collaboration skills. You’ll be working with many stakeholders across the company, so we need someone who’s comfortable communicating with the whole company as their audience. In addition, you’ll be supporting other teammates by reviewing their work, providing coverage where needed, and supporting initiatives to grow our team
• Must have a builder mindset. Innate desire to document, templatize, automate and define a process around everything you do that is repeatable and set up for scale
• Ability to thrive in ambiguous environments and get stuff done. We move fast and iterate quickly, and we want you to feel empowered to do exactly that
• Experience building reports and managing stakeholder relationships, particularly in Marketing, Finance or Sales
• Visualization experience (Sigma highly preferred)—you will use Sigma every day!
• 4+ years of relevant experience working in a data role

Qualifications We Want (also, skills you’ll learn!)

• A drive to continuously learn (and share those learnings) about the evolving data ecosystem
• Advanced knowledge of dbt, python, and SQL (bonus points for Snowflake specifically)
• Startup experience
• Experience training and enabling internal teams on best practices within BI tools

Additional Job details

The base salary range for this position is $140k - $165k annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.