Supply Chain Data Analyst

Established in 1872, Pirelli is among the world’s leading tyre producers. It is the only pure consumer tyre company that includes car, motorbike, and bicycle tyres as well as associated services.

Pirelli has a distinct positioning in high value tyres, characterised by an advanced technology with more than 3,800 homologations obtained, thanks to partnerships with the most prestigious car manufacturers in the world. In order to achieve the highest levels of performance, safety and containment of environmental impact, Pirelli has always been strongly committed to research and development, in which it invested 6% of revenue from high-value products in 2021.

Involved in motorsport since 1907, Pirelli has been the exclusive official tyre partner of the Formula 1™ World Championship since 2011 and has renewed the agreement until 2024.

Pirelli's commitment to the creation of sustainable value, a characteristic of the Company's responsible management and its economic, social and environmental performances has resulted in its inclusion in some of the world’s most prestigious sustainability stock market indices such as the Dow Jones World and Europe Sustainability Indices and Global Compact LEAD of the United Nations.

Role inside the Supply Chain Reporting and Systems team, strongly related to data analysis and development of new data driven tools while also participating on the roadmap of Pirelli’s Digital Transformation roadmap.

This role supports the whole logistics operations of the company in a cross functional way by providing support on data extraction, processing and its usage as well as developing new systems to plan production, stock levels and exports.

Main responsabilities

• Support the implementation of a new cloud based Data Platform (AWS) linking the Supply Chain stream of the company with the IT team
• Spearhead the development of the Supply Chain features of a new Integrated Business Planning system powered by o9 that will allow the creation of a new planning process for mid and long term production and export flows
• Maintaining data policy and guidelines, giving support to data users serving as a Data Steward
• Generation of reports and business intelligence apps to support the supply chain planning and execution

Required Skills

• Capacity to understand fast business requirements and provide insightful information through data analysis
• Knowledge of relational data structures and data models (i.e. star and snowflake schema)
• SQL Programming (knowledge in other programming languages such as Python or R are a plus)
• Experience with business intelligence tools including new app development (preferably Qlik Sense)
• Office suite (mainly Access and Excel)
• Strong statistical knowledge
• Knowledge of data warehousing is desirable