Job description preview
From Asana’s original posting
Senior Analytics Engineer The Data Science & Analytics team at Asana is how the company turns data into decisions — defining the questions that matter, surfacing the answers, and making sure insight is at the center of every critical product and business call. As a Senior Analytical Engineer, you sit at the intersection of Data Engineering, Analytics, and Data Science, and you own the data foundations for a business domain end to end. Your mandate is to turn raw data into reliable, business-ready datasets that PMs, analysts, data scientists, and leaders actually trust and use — and to define the business logic and metric standards that make AI-powered self-serve trustworthy. You consume governed Silver tables and produce the Gold layer and semantic layer beneath Asana's most important metrics, dashboards, and Genie spaces. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. What you’ll achieve •…
Open full posting on Asana’s siteSimilar roles on Seoulstart
Senior Software Engineer, Atlas API Experience - DevToolsMongoDB · Dublin · today
Senior Engineer, Field Service - 林口/桃園ASM · Taiwan > Taoyuan/Taipei · today
Focal Senior Technical Support EngineerZscaler · Tokyo, JPN · today