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At LuisaViaRoma we want to be a truly data driven company, that enables every team to self-serve data and analytics from easily accessible tools, push hypothesis driven product development, optimise marketing channels, and deliver one-source-of-truth KPIs and metrics management.

The data team works in an agile and collaborative way interacting with the engineering team, the marketing team, the product team as well as buyers and merchandising teams.

The Data Analyst (focus BI) main responsibility will be to manage and improve our existing offering in Tableau Server by liaising with stakeholders to translate business requirements, work closely with the data engineering team to coordinate improvements and changes to the data warehouse, and develop new dashboards.

In addition to this, as part of the wider data team, the Data Analyst will be involved in other projects including, but not limited to, working on marketing channels data, product analytics and AB testing, customer segmentation and data science.


key responsibilities:

  • Oversight and development of the Tableau dashboards
  • Be the first point of contact for BI requests
  • Coordinate improvements to the data warehouse with the data engineering team
  • Prepare reports, analysis and ad hoc data extractions when needed
  • Build and maintain additional data pipelines and integrations to data sources
  • Be a data quality ambassador in the company.


Must have skills:

  • Proven track record in Business Intelligence, using Tableau or a similar BI tool
  • Strong SQL skills, including window functions and working with nested data
  • Experience working with Google BigQuery or other big data platforms
  • Understanding of database design and ETL/ELT processes
  • Proficiency in English
  • Team working, communication skills and proactive attitude


Nice to have skills:

  • Python, R or JavaScript
  • Experience with Web and App Analytics, especially Google Analytics, Firebase Analytics, Google Tag Manager
  • Machine Learning experience or an interest in

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