1 day ago

Analytical Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Own the end-to-end data foundation for a business domain by designing and improving Gold-layer dimensional models, metric marts, and semantic layers used in dashboards and Genie spaces. Translate KPIs into governed, versioned metric logic that resolves metric disputes, define metadata and prompt/metric definitions for self-serve querying, and maintain metric dictionaries, data contracts, SLAs, and oncall for data-quality and failure scenarios. Partner across Product, Business, Data Science, and Engineering.

Location: Warsaw

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Design and continuously improve curated Gold-layer dimensional data models for a business domain used by dashboards, Genie spaces, and ELT reporting.
•Implement governed, versioned metric-mart logic for core KPIs to resolve “this number doesn’t match” disputes.
•Build and curate semantic layers and Genie spaces by authoring metadata, documentation, and prompt/metric definitions for plain-language self-serve querying.
•Maintain a domain metric dictionary as a single source of truth for metric definitions, ownership, and discoverability; align with peers on overlapping domains.
•Author data contracts and SLAs at the Silver→Gold boundary and own data quality, freshness, and oncall for Gold/metric-mart failures.

Pay and Benefits

Salary: PLN 20,833 - 23,700 monthly

Equity and Bonus:Equity

Perks:Health InsuranceDentalTravel AllowancePaid LeaveLearning BudgetHome OfficeGym MembershipGroup Life

Key Requirements

•4+ years in analytics engineering, data engineering, or a closely related analytics role, independently owning data models used for decisions.
•Advanced SQL and strong data modeling fundamentals (dimensional modeling, star/snowflake schemas, slowly changing dimensions, semantic layer design).
•Hands-on experience with dbt (or equivalent), orchestration tooling such as Airflow, version control with Git, and warehouse/lakehouse platforms (Databricks preferred).
•Experience with data quality testing and observability, schema management and data contracts, plus query/model performance and cost tuning.
•Demonstrated domain fluency (e.g., PLG funnels, marketing attribution, product telemetry, revenue/ARR) and the judgment to translate “I don’t trust this number” into durable model fixes.

Experience:Analytics engineeringData engineeringData modelingProduct telemetryPLG funnels

Skills:Cross-functional partnershipDocumentationRequirement gatheringPrioritizationTechnical explanation

Languages:English

Tech Stack:SQLDbtAirflowGitDatabricksDatabricks GenieClaudeNL2SQLUnity CatalogLookerLookMLReverse-ETLSalesforceMarketoGainsightSemantic layerELTSilver tablesGold layer

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

Analytical Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: Warsaw

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Design and continuously improve curated Gold-layer dimensional data models for a business domain used by dashboards, Genie spaces, and ELT reporting.
•Implement governed, versioned metric-mart logic for core KPIs to resolve “this number doesn’t match” disputes.
•Build and curate semantic layers and Genie spaces by authoring metadata, documentation, and prompt/metric definitions for plain-language self-serve querying.
•Maintain a domain metric dictionary as a single source of truth for metric definitions, ownership, and discoverability; align with peers on overlapping domains.
•Author data contracts and SLAs at the Silver→Gold boundary and own data quality, freshness, and oncall for Gold/metric-mart failures.

Pay and Benefits

Salary: PLN 20,833 - 23,700 monthly

Equity and Bonus:Equity

Perks:Health InsuranceDentalTravel AllowancePaid LeaveLearning BudgetHome OfficeGym MembershipGroup Life

Key Requirements

•4+ years in analytics engineering, data engineering, or a closely related analytics role, independently owning data models used for decisions.
•Advanced SQL and strong data modeling fundamentals (dimensional modeling, star/snowflake schemas, slowly changing dimensions, semantic layer design).
•Hands-on experience with dbt (or equivalent), orchestration tooling such as Airflow, version control with Git, and warehouse/lakehouse platforms (Databricks preferred).
•Experience with data quality testing and observability, schema management and data contracts, plus query/model performance and cost tuning.
•Demonstrated domain fluency (e.g., PLG funnels, marketing attribution, product telemetry, revenue/ARR) and the judgment to translate “I don’t trust this number” into durable model fixes.

Experience:Analytics engineeringData engineeringData modelingProduct telemetryPLG funnels

Skills:Cross-functional partnershipDocumentationRequirement gatheringPrioritizationTechnical explanation

Languages:English

Tech Stack:SQLDbtAirflowGitDatabricksDatabricks GenieClaudeNL2SQLUnity CatalogLookerLookMLReverse-ETLSalesforceMarketoGainsightSemantic layerELTSilver tablesGold layer

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