Senior Analytics Engineer — AI-Powered Data Foundations

Asana, Inc.; Vancouver; Hybrid; CAD 106,000 - 120,000; Full time

Benefits offered by this job

Health insurance

Dental

Office catering

Home office budget

Gym membership

Fertility support

Mental health support

Life insurance

MacBook provided

Job summary

Asana, Inc. seeks a Senior Analytics Engineer to own data foundations end to end, turning raw data into reliable datasets used by PMs, analysts, data scientists and leaders. You will define business logic, curate a semantic layer, and ensure trust in metrics across Genie spaces and dashboards.

You will collaborate with Product, Data Science and Engineering to translate questions into scalable datasets, champion data quality, and drive a durable data-modeling discipline across domains.

Qualifications

• 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: dimensional modeling, star/snowflake schemas, slowly changing dimensions, and semantic layer design.
• Hands-on experience with a transformation framework (dbt or equivalent), orchestration tooling (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 data into a durable model fix.
• Strong cross-functional partnership skills: requirement gathering, prioritization, documentation and enablement, aligning metric definitions.
• Curiosity about AI-native analytics — NL2SQL, metadata/semantic layers for self-serve, + Claude/Genie use; exposure to Unity Catalog/Looker LookML is a plus.

Responsibilities

• Own the Gold layer for a given business domain and design data models downstream.
• Implement canonical logic behind KPI metrics and resolve disputes for good.
• Build semantic layer and Genie spaces powering self-serve analytics.
• Own the metric dictionary and ensure KPI consistency across domains.
• Author data contracts and SLAs at the Silver→Gold boundary; own data quality and oncall for failures.
• Build and maintain board-ready dashboards on governed Gold data with data science collaboration.
• Partner with Product, Business, Data Science, and Engineering to turn ambiguous questions into scalable datasets.

Skills

Advanced SQL

Data modeling

dbt

Airflow

Git

Databricks

Data quality testing

Observability

Domain fluency

Cross-functional collaboration

Looker/LookML

Unity Catalog

NL2SQL / AI tools

Tools

Databricks tools

Job description

Asana, Inc. seeks a Senior Analytics Engineer to own data foundations end to end, turning raw data into reliable datasets used by PMs, analysts, data scientists and leaders. You will define business logic, curate a semantic layer, and ensure trust in metrics across Genie spaces and dashboards.

You will collaborate with Product, Data Science and Engineering to translate questions into scalable datasets, champion data quality, and drive a durable data-modeling discipline across domains.