# Senior Analytical Engineering Manager

**Company**: Asana
**Location**: Warsaw
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: 36,600 - 41,600 PLN gross per month
**Category**: Data Science
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/asana/jobs/8044811?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_a863d578-c13

## Description

Asana's Data Science team helps inform strategy, define success metrics, and identify new ways to deliver user value. As an Analytical Engineering Manager, you lead a team of Analytical Engineers who own the data foundations for the business: the Gold layer, canonical metrics, certified dashboards, and semantic layer.

This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays.

## What you’ll achieve

- Lead, grow, and develop a team of Analytical Engineers: Own hiring, coaching, performance, and career growth, setting a high bar for data-model quality and stakeholder trust.

- Own the Gold layer and semantic-layer strategy across your team's domains, taking accountability for curated data models, canonical metrics, dashboards, and Genie spaces.

- Treat every recurring insight as a product with an owner, a cadence, and an SLA, building a catalog of trusted, versioned data products.

- Drive self-serve enablement by prioritizing Gold tables, governed metric definitions, and metadata that make Claude and Databricks Genie trustworthy for stakeholders.

- Partner with Data Science, Data Engineering, Data Infrastructure, and business teams to author data contracts and SLAs.

- Manage prioritization, run-rate, and cost as first-class metrics, making explicit build-vs-buy and trade-off decisions.

## About you

- Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them.

- 3+ years managing or leading a team of analytics engineers, data engineers, or analysts.

- A strong analytical-engineering technical foundation: advanced SQL, data modeling, semantic layer design, dbt or equivalent frameworks, and modern warehouse/lakehouse platforms.

- A track record of shipping trusted data products that meaningfully reduce ad-hoc work and earn stakeholder trust.

- Strong stakeholder management skills with senior cross-functional partners and leadership.

## What we’ll offer

- 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

## Skills

### Required
- advanced SQL
- data modeling
- semantic layer design
- dbt
- Databricks
- stakeholder management

### Nice to have
- AI tools
- emerging technologies
- Unity Catalog
- Looker/LookML
- reverse-ETL/activation platforms

---

Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/asana/jobs/8044811?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)