Asana

1 day ago

Senior Analytical Engineering Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 27 minutes agoStatus: Live

Job Summary

Lead and grow a team of Analytical Engineers responsible for Asana’s trusted data foundations, including the Gold layer, canonical metrics, certified dashboards, and the semantic layer. Own data product strategy across domains and treat recurring insights as products with cadences and SLAs. Partner with Data Science, Data Engineering, and business teams to define data contracts, enable self-serve analytics with Claude and Databricks Genie, and manage prioritization, run-rate, and data costs.

Location: Warsaw

Workplace: Hybrid

Employment Type: Contract

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•Lead, grow, and develop a team of Analytical Engineers, owning hiring, coaching, performance, and career growth while setting a high bar for data-model quality and stakeholder trust.
•Own the Gold layer and semantic-layer strategy across domains (e.g., PLG, marketing, revenue, NPI/AWM), accountable for curated data models, canonical metrics, dashboards, and Genie spaces.
•Treat recurring insights as products with owners, cadence, and SLAs, building a catalog of trusted, versioned data products instead of one-off rebuilds.
•Drive self-serve enablement by prioritizing Gold tables, governed metric definitions, and metadata that make Claude and Databricks Genie trustworthy for stakeholders.
•Partner across Data Science, Data Engineering, Data Infrastructure, and business teams to author data contracts and SLAs at the Silver→Gold boundary, deciding what to build, automate, or sunset.

Pay and Benefits

Salary: PLN 36,600 - 41,600 monthly

Equity and Bonus:Equity

Perks:Health InsuranceDentalTravel AllowancePaid LeaveLearning BudgetHome OfficeGym MembershipLife InsuranceWork Equipment

Key Requirements

•3+ years managing or leading analytics engineers, data engineers, or analysts with a clear trajectory into people management.
•Advanced SQL, data modeling, semantic layer design, dbt (or equivalent), and modern warehouse/lakehouse platforms (Databricks preferred).
•Track record shipping trusted data products (governed Gold tables, canonical metrics, semantic layers) that reduce ad-hoc work and earn stakeholder trust.
•Strong stakeholder management skills, translating ambiguous business needs into roadmaps and explaining technical trade-offs to non-technical audiences.
•Judgment on prioritization, sunsetting low-value work, and managing data cost and run-rate.

Experience:3+ yearsAnalytics engineeringData engineeringData scienceAI-native analytics

Skills:CuriosityStakeholder managementCoachingPrioritizationJudgment

Languages:English

Tech Stack:SQLData modelingSemantic layerDbtDatabricksDatabricks GenieClaudeNL2SQLUnity CatalogLookerLookMLReverse-ETLActivation platformsGenie spacesSilver→Gold

Company Brief

Asana

Asana provides a work management platform that helps teams coordinate, track, and manage tasks, projects, and workflows. It offers collaboration, task tracking, automation, and reporting tools for organizations of all sizes.

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 500M to 1B

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2008

Glassdoor: 4.2

Website LinkedIn Glassdoor

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Asana

1 day ago

Senior Analytical Engineering Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 27 minutes agoStatus: Live

Job Summary

Location: Warsaw

Workplace: Hybrid

Employment Type: Contract

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•Lead, grow, and develop a team of Analytical Engineers, owning hiring, coaching, performance, and career growth while setting a high bar for data-model quality and stakeholder trust.
•Own the Gold layer and semantic-layer strategy across domains (e.g., PLG, marketing, revenue, NPI/AWM), accountable for curated data models, canonical metrics, dashboards, and Genie spaces.
•Treat recurring insights as products with owners, cadence, and SLAs, building a catalog of trusted, versioned data products instead of one-off rebuilds.
•Drive self-serve enablement by prioritizing Gold tables, governed metric definitions, and metadata that make Claude and Databricks Genie trustworthy for stakeholders.
•Partner across Data Science, Data Engineering, Data Infrastructure, and business teams to author data contracts and SLAs at the Silver→Gold boundary, deciding what to build, automate, or sunset.

Pay and Benefits

Salary: PLN 36,600 - 41,600 monthly

Equity and Bonus:Equity

Perks:Health InsuranceDentalTravel AllowancePaid LeaveLearning BudgetHome OfficeGym MembershipLife InsuranceWork Equipment

Key Requirements

•3+ years managing or leading analytics engineers, data engineers, or analysts with a clear trajectory into people management.
•Advanced SQL, data modeling, semantic layer design, dbt (or equivalent), and modern warehouse/lakehouse platforms (Databricks preferred).
•Track record shipping trusted data products (governed Gold tables, canonical metrics, semantic layers) that reduce ad-hoc work and earn stakeholder trust.
•Strong stakeholder management skills, translating ambiguous business needs into roadmaps and explaining technical trade-offs to non-technical audiences.
•Judgment on prioritization, sunsetting low-value work, and managing data cost and run-rate.

Experience:3+ yearsAnalytics engineeringData engineeringData scienceAI-native analytics

Skills:CuriosityStakeholder managementCoachingPrioritizationJudgment

Languages:English

Tech Stack:SQLData modelingSemantic layerDbtDatabricksDatabricks GenieClaudeNL2SQLUnity CatalogLookerLookMLReverse-ETLActivation platformsGenie spacesSilver→Gold

Company Brief

Asana

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 500M to 1B

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2008

Glassdoor: 4.2

Website LinkedIn Glassdoor