Senior Analytics Engineer

Asana is a leading platform for human + AI collaboration with 13+ offices worldwide. The Data Science & Analytics team transforms data into decisions, providing business-ready datasets and insights. This role supports reliable data foundations and AI-powered self-serve metrics across business domains.

• 4+ years experience in analytics engineering, data engineering, or related analytics roles with ownership of data models.
• Advanced SQL and strong data modeling fundamentals including dimensional modeling and semantic layer design.
• Hands-on experience with transformation frameworks (e.g., dbt), orchestration tools (e.g., Airflow), version control (Git), and warehouse/lakehouse platforms (preferably Databricks).
• Practical skills in data quality testing, schema management, data contracts, and query/model performance tuning.
• Fluency in at least one business domain such as PLG funnels, marketing attribution, or revenue.
• Strong cross-functional partnerships in requirements gathering, documentation, and alignment.
• Curiosity about AI-native analytics tools such as Claude and Genie, and semantic layers for self-serve analytics.

• Own and continuously improve curated dimensional data models for a business domain.
• Implement canonical business logic for core KPIs via governed, versioned metric marts.
• Build and curate semantic layers and Genie spaces for stakeholder self-serve queries.
• Maintain the metric dictionary as a single source of truth for metrics.
• Author data contracts and SLAs at Silver to Gold data boundaries.
• Maintain certified, board-ready dashboards on governed Gold data.
• Partner with Product, Business, Data Science, and Engineering to translate ambiguous questions into scalable datasets and improve data quality.

Please be informed that the data controller is Asana, 633 Folsom Street, Suite 100, San Francisco, California 94107, US. You have rights regarding your personal data including access, rectification, erasure, and objection. Data processing is conducted for recruitment purposes and follows applicable legal obligations. Consent can be withdrawn anytime.