Asana

Senior Analytics Engineer

20.8k - 23.7k PLN20 833 - 23 700 PLN/ mies./ mies.UoPUmowa o pracę (brutto)

SeniorHybryda·WarszawaFull-time·Umowa o pracę

#474809·Dodano 10 dni temu·0

Źródło: justjoin.it

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Tech Stack / Keywords

SQLAIData modelingPython

Podsumowanie oferty

Own the Gold and semantic layers for a business domain, turning raw data into trusted datasets and metric definitions for Asana’s dashboards and AI-powered self-serve analytics. Build these data foundations using SQL, data modeling, and tools such as Claude and Databricks Genie.

Wymagania

4+ years of experience in analytics engineering, data engineering, or a closely related analytics role, with a track record of independently owning data models used for decisions.
Advanced SQL and strong data modeling fundamentals, including dimensional modeling, star/snowflake schemas, slowly changing dimensions, and semantic layer design.
Hands-on experience with a transformation framework such as dbt or equivalent, orchestration tooling such as Airflow, version control with Git, and modern warehouse/lakehouse platforms.
Practical experience with data quality testing and observability, schema management and data contracts, and query/model performance and cost tuning.
Demonstrated domain fluency in at least one business area, such as PLG funnels, SLG pipeline, marketing attribution, product telemetry, or revenue/ARR.
Strong cross-functional partnership skills, including requirements gathering, prioritization, documentation and enablement, alignment on metric definitions, and explaining technical tradeoffs to non-technical partners.
Curiosity about AI-native analytics, including NL2SQL, metadata/semantic layers for self-serve, and using tools to extend reach while maintaining rigor.

Nice to have:

Experience with Databricks.
Exposure to Unity Catalog, Looker/LookML, or reverse-ETL/activation tools such as Salesforce, Marketo, or Gainsight.
Experience using Claude and Genie.

Obowiązki

Own and continuously improve curated dimensional data models in the Gold layer for a business domain.
Implement governed, versioned metric marts for core KPIs.
Build and curate the semantic layer and Genie spaces, including metadata, documentation, and prompt and metric definitions for querying governed data through Claude and Databricks Genie.
Own the domain metric dictionary and partner with peers across DS&A to keep overlapping KPI definitions consistent.
Author data contracts and SLAs at the Silver→Gold boundary; partner with Horizontal Data Engineering on inputs and own data quality, freshness, and on-call for Gold and metric-mart failures.
Build and maintain certified, board-ready dashboards on governed Gold data, partnering with Data Science to create trusted, reusable products.
Partner with Product & Business, Data Science, and Engineering to turn ambiguous questions into scalable datasets, anticipate downstream reporting impacts, and raise data-model quality.

Benefity

Base salary and RSUs.
Health insurance with dental and travel coverage (Lux Med).
Breakfast and lunch catering on office days.
Career growth budget.
Home office setup budget.
Gym/fitness card.
Fertility healthcare and family-forming support with Carrot.
Mental health support through Modern Health.
Group life insurance.
MacBooks with necessary accessories.

Udziały pracownicze

Opieka zdrowotna

Ubezpieczenie

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Karta sportowa

Asana

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