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DATA ANALYST (FOCUS DIGITAL)

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 Digital) main responsibility will be to manage and improve marketing automation and attribution models, as well as providing insights on website, CRM and app performance through Google Analytics, Firebase Analytics and other analytics and personalisation tools.

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 dashboards, product analytics and AB testing, customer segmentation and data science.

 

key responsibilities:

  • Analyze data and monitor KPIs for website and app traffic
  • Capture business requirements into actionable analysis and insight
  • Prepare reports and data visualisations to communicate findings to business stakeholders
  • Support the marketing team by providing insights into channels performance
  • Manage tracking and tagging improvements and requests

 

Must have skills:

  • Proficiency with analytics tools, in particular Google Analytics 360, Firebase, Google Analytics 4 properties
  • Familiarity with the main digital advertising reporting tools, in particular Google Marketing Platform
  • Working knowledge of Google Data Studio and data connectors
  • Knowledge of Google Cloud Platform services, including BigQuery. The candidate should be able to retrieve data by writing simple queries in standard SQL
  • Proficiency in English
  • Team working, communication skills, proactive attitude.

 

Nice to have skills:

  • Python, R or JavaScript
  • Experience using Tableau or a similar BI tool
  • Machine Learning experience or an interest in

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