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About the Role
The Data Science & Analytics team at Asana is how the company turns data into decisions — defining the questions that matter, surfacing the answers, and making sure insight is at the center of every critical product and business call. As an Analytical Engineer, you sit at the intersection of Data Engineering, Analytics, and Data Science, and you own the data foundations for a business domain end to end. Your mandate is to turn raw data into reliable, business-ready datasets that PMs, analysts, data scientists, and leaders actually trust and use — and to define the business logic and metric standards that make AI-powered self-serve trustworthy. You consume governed Silver tables and produce the Gold layer and semantic layer beneath Asana's most important metrics, dashboards, and Genie spaces.
This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday, with the option to work from home on Wednesdays and, depending on the work and the teams you partner with, on Fridays.
Why Join Asana
Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Recognized by Fortune, Fast Company, Forbes, and Gartner for workplace culture and innovation, we foster a collaborative environment where multi-dimensional teams thrive.
Key Technical Responsibilities
- check_circle Own the Gold layer for a given business domain (e.g. PLG funnel, marketing attribution, revenue, NPI/AWM): Design and continuously improve curated, dimensional data models for downstream usage.
- check_circle Implement canonical business logic behind core KPIs: Translate KPIs into governed, versioned metric marts that resolve metric discrepancies.
- check_circle Build and curate the semantic layer and Genie spaces that power self-serve analytics, authoring metadata and prompt/metric definitions for stakeholders.
- check_circle Own the metric dictionary for your domain as a single source of truth, partnering with peers to keep definitions consistent across domains.
- check_circle Author data contracts and SLAs at the Silver to Gold boundary, owning data quality, freshness, and on-call rotations for Gold and metric-mart failures.
- check_circle Build and maintain certified, board-ready dashboards on governed Gold data in close partnership with Data Science.
- check_circle Partner directly with Product, Business, Data Science, and Engineering to turn ambiguous questions into scalable datasets.
Prerequisites & Qualifications
- check 4+ years in analytics engineering, data engineering, or a closely related analytics role with a track record of independently owning data models.
- check Advanced SQL and strong data modeling fundamentals: dimensional modeling, star/snowflake schemas, slowly changing dimensions, and semantic layer design.
- check Hands-on experience with a transformation framework (dbt or equivalent), orchestration tooling (e.g. Airflow), version control (Git), and modern warehouse/lakehouse platforms (Databricks preferred).
- check Practical experience with data quality testing and observability, schema management, data contracts, and query/model performance and cost tuning.
- check Demonstrated domain fluency in at least one business area (e.g. PLG funnels, SLG pipeline, marketing attribution, Product telemetry, revenue/ARR).
- check Strong cross-functional partnership skills: requirement gathering, prioritization, documentation, enablement, and explaining technical tradeoffs.
- check Curiosity about AI-native analytics, NL2SQL, metadata/semantic layers for self-serve, and using tools like Claude and Genie.
About Asana Greenhouse Board
Verified hiring organization details.
Asana is a leading enterprise work management platform designed to help teams orchestrate their work, from daily tasks to strategic initiatives. The Vancouver, BC engineering hub contributes to the development of Asana's core SaaS platform, utilizing modern web technologies and scalable architectures to support millions of global users. This hiring entity represents Asana's recruitment operations utilizing the Greenhouse applicant tracking system to onboard top-tier technical talent in Canada.