Analytical Engineer

Asana is a leading platform for human + AI collaboration with 13+ global offices. Millions of teams rely on Asana to achieve their goals faster. The company has been recognized by Fortune, Fast Company, Forbes, and Gartner for its workplace culture and innovation. The role is based in their Warsaw office with a hybrid work schedule.

• 4+ years in analytics engineering, data engineering, or related analytics roles with experience owning data models.
• Advanced SQL skills and strong data modeling fundamentals including dimensional modeling, star/snowflake schemas, and semantic layer design.
• Hands-on experience with transformation frameworks such as dbt, orchestration tooling like Airflow, version control (Git), and modern warehouse/lakehouse platforms (preferably Databricks).
• Practical experience with data quality testing, observability, schema management, data contracts, and query/model performance tuning.
• Domain fluency in at least one business area (e.g., PLG funnels, marketing attribution, revenue/ARR) and ability to diagnose and fix data model issues.
• Strong cross-functional partnership skills for requirement gathering, documentation, alignment on metrics, and communicating technical tradeoffs.
• Curiosity about AI-native analytics such as NL2SQL and semantic layers using tools like Claude and Genie.

Nice to have:

• Exposure to Unity Catalog, Looker/LookML, or reverse-ETL/activation tools (Salesforce, Marketo, Gainsight).

• Own the Gold layer for a given business domain by designing and improving curated dimensional data models.
• Implement canonical business logic behind core KPIs and maintain governed, versioned metric marts.
• Build and curate semantic layer and Genie spaces to enable self-serve data queries.
• Own the metric dictionary for the domain to ensure consistency and clarity on metric definitions.
• Author data contracts and SLAs with Horizontal Data Engineering; own data quality and on-call support for metric-mart failures.
• Build and maintain certified dashboards on governed Gold data, collaborating with Data Science.
• Collaborate with Product & Business, Data Science, and Engineering teams to translate ambiguous questions into scalable datasets and improve data model quality.

Please be informed that the data controller is Asana, San Francisco, US. Candidates have rights regarding personal data processing according to applicable laws. Providing mandatory data is required for recruitment; refusal may prevent recruitment process. Data is processed for recruitment purposes and with consent for future recruitments. Consent can be withdrawn anytime. Data recipients include Just Join IT and entrusted entities for recruitment processing.