Treviso, ITALY



Job Responsibilities

The candidate will:
? Be responsible for the accurate implementation of the data strategy in the different touch-points and analyses across multiple platforms.
? Translate complex data into easy-to-understand information
? Identify the consumer journey and define the business reporting KPIs (company and channel level)
? Design and build reporting dashboards for different stakeholders (CEO, Top management, operational teams)
? Convert signal coming from the data into action / new opportunities/inspiration for other teams
? Tech and partnership selection
? Prepare insight presentations for business stakeholders

Main Working Areas:
- Data visualization platforms
- Data warehouse, data lake
- Google Analytics
- UX analysis platforms

Job Profile

Main Responsibilities:
? Analysis, insight, product support, and end-user support
? Communication of digital data to the business
? Having a great understanding of how De’Longhi Group works, and proactively using this knowledge to come up with ideas for analysis
? Supporting product, editorial, strategy, and marketing teams with their analytics needs
? Helping to embed a marketing science mindset and methodology within the team
? Evangelizing the power of digital data and analytics across the De’Longhi Group
? Promoting best practices in marketing sciences with respect to digital analytics
? Promoting and supporting a data-driven culture at the De’Longhi Group
? Be responsible for Web Analytics and optimization solutions and systems.
? Identify up-to-date relevant tools to support data management and analysis of campaigns.
? Define, monitor, and implement the Digital Analytics strategy and associated data analysis.
? Provide relevant analytics and systems training to teams where relevant.
? Present key findings of reports, including actionable insights for key stakeholders, and customer profiling data to feed into marketing strategies.
? Develop strong relationships and engage with teams to obtain data for the business and understand the importance of analytics.
? Recommend and implement data modeling techniques for forecasting and insight for the business, including A/B or multivariate testing.
? Understand and implement segmentation such as Behavioural analysis, Model behavior, and Attribution model.