Talend Data Analytics
Pirelli was founded in Milan in 1872 and today stands as a global brand known for its cutting-edge technology, high-end production excellence and passion for innovation that draws heavily on its Italian roots.
With 18 production plants in 12 countries and a commercial presence in over 160, Pirelli has around 31, 300 employees and had a turnover of about 6. 6 billion euro in 2022.
It is among the world's major producers of tyres and associated services and the only one focused solely on the Consumer tyre market, which includes tyres for cars, motorcycles and bicycles.
Pirelli is seeking someone to join its Data Management team as Business Intelligence Analyst.
The candidate will be in charge of:• Designing and implementing strategic BI solutions integrated with the data platform• Interacting with different HQ or local function representatives and stakeholders• Building a solid relationship by a strong understanding of the context in order to promote software solutions compatible with the existing architecture/technology and responsive to the requirements• Handling an entire system or part of it, ensuring its operation and continuous improvement• Collaborating with the competence centre in Bari and Craiova to share know-how and project deliverables in order to support the amsSkills & Competencies• Degree in technical/scientific disciplines• At least 1-2 years of experience • UX design skills for dashboards• Development competencies on QlikSense, Nprinting, Tableau, Qliksense SAS platform• Knowledge of Data Modeling and Operation on DB Oracle, Microsoft, redishift, aurora, rds, postgresql• Programming skills with phyton, spark, nodejs• Experience in cloud environments preferably AWS• Knowledge of data management and data governance issues (data preparation, data lineage, data quality, data cleansing, data masking, etc. )
• Project management and coordination• Experience in the use of ETL tools (Talend for data Integration) is considered a plus• Ability to use Qliksense tools is considered a plus• Strong computer and analytical skills, good knowledge of the above-mentioned softwares. • Fluency in English and Italian
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