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Senior Analytics Engineer

Sigma Computing LogoSigma Computing
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Salary

The base salary range for this position is $140k - $175k annually

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 an Analytics Engineer on the Data Platform team, 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. (Technologies we use: Fivetran, dbt, Snowflake, Sigma, Hightouch)
  • 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.
  • Give power to our customers. Our customers need to analyze their Sigma usage data, too. The models you architect and build will be the ones we integrate into our product externally, too.
  • 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

  • Passionate about ourand how we work together
  • 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 as such
  • A strong communicator. 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
  • 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
  • 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 and SQL (bonus points for Snowflake development specifically)
  • Startup experience
  • Experience training and enabling internal teams on best practices within BI tools

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