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About This Role
As a Senior Analytical Engineer at Asana, you will own the data foundations for a business domain end to end, turning raw data into reliable, business-ready datasets that teams trust and use.
Key ResponsibilitiesAI-extracted
- 1Own the Gold layer for a given business domain, designing and continuously improving the curated, dimensional data models that downstream dashboards, Genie spaces, and ELT reporting depend on.
- 2Implement the canonical business logic behind your domain's core KPIs, translating KPIs into governed, versioned metric marts that resolve disputes for good.
- 3Build and curate the semantic layer and Genie spaces that power self-serve in your domain, authoring metadata, documentation, and prompt/metric definitions.
- 4Partner with peers across DS&A to keep KPI definitions consistent where domains overlap, and author data contracts and SLAs at the Silver→Gold boundary.
- 5Build and maintain certified, board-ready dashboards on governed Gold data, partnering with Data Science to translate insight requirements into trusted, reusable products.
RequirementsAI-extracted
- 4+ years in analytics engineering, data engineering, or a closely related analytics role, with a track record of independently owning the data models a team relies on for decisions.
- Advanced SQL and strong data modeling fundamentals, including dimensional modeling, star/snowflake schemas, slowly changing dimensions, and semantic layer design.
- Hands-on experience with a transformation framework (dbt or equivalent), orchestration tooling (e.g. Airflow), version control (Git), and modern warehouse/lakehouse platforms (Databricks experience preferred).
- Practical experience with data quality testing and observability, schema management and data contracts, and query/model performance and cost tuning.
- Demonstrated domain fluency in at least one business area and the judgment to translate 'I don't trust this number' into a specific, durable model fix.
Perks & BenefitsAI-extracted
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