Data Analytics Team Lead & BI Solutions

Vertiv Group

Italia

In loco

EUR 44.000 - 55.000

Tempo pieno

44 ore fa
Candidati tra i primi
Generatore di candidature

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Descrizione del lavoro

Vertiv Group in Piove di Sacco, Italy seeks a Supervisor Data Analytics to lead a global team of data analysts, owning the full BI delivery chain from ETL with Snowflake to Power BI dashboards, and to govern data access across regions.

This hands-on leadership role combines project management with technical contributions, mentoring analysts, translating stakeholder requirements, and collaborating with IT, Sales and Finance to deliver scalable analytics that drive marketing and product decisions.

Competenze

  • Bachelor's or Master's degree in Engineering, Computer Science, Statistics, Economics or related field.
  • 5+ years of experience in data analysis, BI development, or analytics roles.
  • Proven experience leading or coordinating a team.
  • Advanced Power BI skills: complex data models, DAX, governance, and app deployment.
  • Solid SQL skills and ETL/ELT pipeline design experience.

Mansioni

  • Lead and develop a team of data analysts across locations and time zones.
  • Own BI architecture, ETL pipelines, and reporting layers from data source to end users.
  • Build Power BI dashboards with optimized data models and governance.
  • Coordinate VoC activities and translate results into actionable insights.
  • Support AI/ML initiatives with data readiness and pipeline integration.

Conoscenze

Power BI
SQL
ETL/ELT pipelines
Data governance
Project management
Team leadership
English proficiency

Formazione

Bachelor's or Master's in technical field

Strumenti

Snowflake
Qualtrics

Descrizione del lavoro

Vertiv Group in Piove di Sacco, Italy seeks a Supervisor Data Analytics to lead a global team of data analysts, owning the full BI delivery chain from ETL with Snowflake to Power BI dashboards, and to govern data access across regions.

This hands-on leadership role combines project management with technical contributions, mentoring analysts, translating stakeholder requirements, and collaborating with IT, Sales and Finance to deliver scalable analytics that drive marketing and product decisions.

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