The Data Science & Analytics team at Asana turns data into decisions
Insight is at the center of every critical product and business call
Responsibilities
Own the Gold layer for a business domain (PLG funnel, marketing attribution, revenue, NPI/AWM)
Implement canonical business logic behind core KPIs as governed, versioned metric marts
Build and curate the semantic layer and Genie spaces powering self-serve
Own the metric dictionary for the domain
Author data contracts and SLAs at the Silver→Gold boundary
Build and maintain certified, board-ready dashboards on governed Gold data
Partner with Product & Business, Data Science, and Engineering to turn ambiguous questions into scalable datasets
Requirements
4+ years in analytics engineering, data engineering, or closely related analytics role
Advanced SQL and strong data modeling fundamentals: dimensional modeling, star/snowflake schemas, slowly changing dimensions, semantic layer design
Hands-on with a transformation framework (dbt or equivalent), orchestration (e.g. Airflow), version control (Git), modern warehouse/lakehouse platforms (Databricks preferred)
Experience with data quality testing and observability, schema management, data contracts, query/model performance and cost tuning
Domain fluency in at least one business area (PLG funnels, SLG pipeline, marketing attribution, Product telemetry, revenue/ARR)
Strong cross-functional partnership skills
Curiosity about AI-native analytics — NL2SQL, semantic layers, Claude and Genie