# Analytical Engineering Manager

**Company**: Asana
**Location**: Vancouver, BC
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: 157,000 - 178,000 CAD annually
**Category**: Data Science
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/asana/jobs/8177854?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_dae9a734-c68

## Description

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 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 that make Asana's most important numbers trustworthy, and that make AI-powered self-serve through Claude and Databricks Genie actually work.

**What you'll achieve**

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

- Own the Gold layer and semantic-layer strategy across your team's domains (e.g. PLG, marketing, revenue, NPI/AWM): Your team is accountable for the curated data models, canonical metrics, dashboards, and Genie spaces the business depends on.

- Treat every recurring insight as a product with an owner, a cadence, and an SLA: Build a catalog of trusted, versioned data products instead of one-off rebuilds.

- Drive self-serve enablement: Prioritize the Gold tables, governed metric definitions, and metadata that make Claude + Databricks Genie trustworthy, so stakeholders can answer routine questions without coming to your team.

- Partner with Data Science, Data Engineering, Data Infrastructure, and business teams to author data contracts and SLAs at the Silver→Gold boundary, and decide what to build, what to automate, and what to sunset.

- Manage prioritization, run-rate, and cost as first-class metrics , making explicit build-vs-buy and stop-doing trade-offs rather than letting low-value work quietly erode the team's capacity.

**About you**

- Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.

- 3+ years managing or leading a team of analytics engineers, data engineers, or analysts, with a clear trajectory into people management.

- A strong analytical-engineering technical foundation that lets you set the bar: advanced SQL, data modeling and semantic layer design, dbt or an equivalent transformation framework, and modern warehouse/lakehouse platforms (Databricks preferred).

- A track record of shipping trusted data products , governed Gold tables, canonical metrics, and semantic layers , that meaningfully reduced ad-hoc work and earned stakeholder trust.

- Strong stakeholder management with senior cross-functional partners and leadership: translating ambiguous business needs into roadmaps, driving alignment on metric definitions, and explaining technical tradeoffs to non-technical audiences.

- Sound judgment on prioritization, sunsetting low-value work, and managing data cost and run-rate.

- Curiosity about AI-native analytics , NL2SQL, semantic layers for self-serve, and using tools like Claude and Genie to multiply your team's reach rather than replace rigor. Exposure to Unity Catalog, Looker/LookML, or reverse-ETL/activation (Salesforce, Marketo, Gainsight) is a plus.

**What we'll offer**

- The estimated base salary range is between 157,000 - 178,000 CAD annually.

- Our comprehensive compensation package includes additional components such as equity, sales incentive pay, and benefits.

- We strive to provide equitable and competitive benefits packages that support our employees worldwide, including mental health, wellness & fitness benefits, career coaching & support, inclusive family building benefits, long-term savings or retirement plans, and in-office culinary options.

## Skills

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

### Nice to have
- Unity Catalog
- Looker/LookML
- reverse-ETL/activation
- NL2SQL
- semantic layers for self-serve

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/asana/jobs/8177854?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)