Description
The Data Science & Analytics team at Asana turns data into decisions, defining key questions, surfacing answers, and ensuring insights drive critical product and business calls.
As a Senior Analytical Engineer, you will own data foundations for a business domain, turning raw data into reliable datasets that stakeholders trust and use. You will define business logic and metric standards for AI-powered self-serve, consuming governed Silver tables and producing the Gold layer and semantic layer for crucial metrics, dashboards, and Genie spaces.
This role is based in our Warsaw office with a hybrid schedule: Monday, Tuesday, and Thursday in-office, with flexibility to work from home on Wednesdays and potentially Fridays.
Key Achievements:
- Own the Gold layer for a business domain (e.g., PLG funnel, marketing attribution, revenue, NPI/AWM)
- Implement canonical business logic for core KPIs
- Build and curate the semantic layer and Genie spaces for self-serve
- Maintain the metric dictionary for your domain
- Author data contracts and SLAs at the Silver→Gold boundary
- Develop certified, board-ready dashboards on governed Gold data
- Collaborate with Product & Business, Data Science, and Engineering to create scalable datasets
Requirements:
- 4+ years in analytics engineering, data engineering, or a related role
- Advanced SQL and strong data modeling fundamentals
- Experience with transformation frameworks (e.g., dbt), orchestration tools (e.g., Airflow), version control (Git), and modern data platforms (Databricks experience preferred)
- Practical experience with data quality testing, observability, schema management, and query performance tuning
- Domain fluency in at least one business area and judgment to resolve data disputes
- Strong cross-functional partnership and communication skills
- Curiosity about AI-native analytics and tools like Claude and Genie
Benefits:
- Generous, transparent, and fair compensation system
- Contract of Employment
- Health insurance with dental and travel coverage
- Breakfast and lunch catering on office days
- Vacation allowance
- Career growth budget
- Home office setup budget
- Gym/Fitness card
- Fertility healthcare and family-forming support
- Mental Health Support
- Group life insurance
- MacBooks with necessary accessories
The estimated base salary range for this role is between 20,833 - 23,700 PLN gross per month.