Analytics Engineering Lead, Data Enablement

airSlate Inc.

Wrocław

Ibrido

PLN 260.000 - 420.000

Tempo pieno

11 giorni fa

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Vantaggi offerti da questo lavoro

Flexible working
Health coverage
Mental Health Days
Family-friendly
Pet-friendly offices
Junior Club
Donation matching
Courses & conferences
Internal mobility
Equity

Descrizione del lavoro

airSlate Inc. is seeking a hands-on leader to run Data Enablement in a fast-moving environment. You will lead analytics engineers and web analytics specialists, own the semantic layer end-to-end, and turn raw product and event data into curated datasets.

You will design models, automate data curation, and partner across Data Business Partners, Data Science/ML and Data Platform to deliver trusted data for business and AI applications.

Competenze

  • 5+ years in analytics, data or BI engineering, incl. 2+ years leading a team.
  • Expert SQL and Python; production components ownership.
  • Data modeling: warehouse/mart models with semantic layer; cloud stack (AWS) and orchestration (Airflow).
  • Engineering discipline: CI, tests, code reviews, rollout plans.
  • Data quality and fluency; validate data before stakeholders; documentation standards.

Mansioni

  • Lead and grow the analytics team; set priorities and delivery rhythm.
  • Own the semantic layer; design and evolve SQL-based models and metrics.
  • Automate data curation; build reusable, tested datasets with data-quality monitoring.
  • Set standards and partner across the data organization; collaborate with Data Science/ML and Data Platform.

Conoscenze

SQL
Python
Data modeling
Data pipelines
Analytics leadership
Web analytics
Airflow
Data quality
Communication

Strumenti

dbt
AWS Athena
Redshift
Glue
Airflow

Descrizione del lavoro

airSlate Inc. is seeking a hands-on leader to run Data Enablement in a fast-moving environment. You will lead analytics engineers and web analytics specialists, own the semantic layer end-to-end, and turn raw product and event data into curated datasets.

You will design models, automate data curation, and partner across Data Business Partners, Data Science/ML and Data Platform to deliver trusted data for business and AI applications.

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