AI Automation & Analytics Specialist

AI Automation & Analytics Specialist

 Zoetis Southern Europe is seeking a results-driven AI Automation & Analytics Specialist to join our Business Analytics team. This role will be responsible for collecting and processing large datasets to uncover valuable insights that drive business decisions. This role involves using ETL tools, statistical methods, Machine Learning and data visualization techniques to interpret complex data and present findings to stakeholders.

 Key Responsibilities

·     

Data Engineering & Quality

• Design and maintain automated data pipelines (ETL/ELT) from diverse internal and external sources
• Implement robust data validation, monitoring, and documentation to ensure high data quality and lineage

Analytics & Modeling

• Apply statistical analysis and machine learning to identify trends, segments, forecasts, and drivers of performance
• Build reproducible analytical assets with clear versioning and governance

·       AI

• Leverage AI to automate and improve data analysis, uncovering trends and drivers and embedding insights into workflows
• Identify and deliver high-impact AI use cases, integrating model outputs into workflows and dashboards with clear KPIs and explainability
• Operationalize AI/ML solutions, ensuring Responsible AI practices 

·      

Visualization & Insight Communication

• Develop dynamic, user-centric dashboards and reports; optimize and integrate existing assets for clarity and performance
• Translate analytics into concise, business-ready narratives and recommendations for stakeholders

Performance Management

• Automate target-setting, KPIs, and monitoring workflows

Collaboration & Stakeholder Enablement

• Partner with Business Units, Sales, Marketing, Finance, and Customer Care to deliver data-driven solutions
• Support ad‑hoc deep dives and decision forums with timely, accurate analyses

Continuous Improvement & Governance

• Identify opportunities to streamline processes, enhance scalability, and enforce data/analytics best practices
• Contribute to data governance, integration, security, and compliance standards

Qualifications

• Bachelor’s or Master’s in Data Science, Statistics, Computer Science, Engineering, or related field.
• 3-5 years in analytics, BI, or data engineering roles; experience in commercial/retail/pharma or animal health is a plus.

·       Proficiency in:

• Databases & languages: SQL, Python or R
• ETL/ELT & orchestration: Azure Data Factory and Knime/Alteryx; building and monitoring production pipelines
• Cloud data platforms: hands-on with Azure SQL and modern analytical stores (cloud data warehouse / lakehouse)
• Dashboards: Power BI; DAX and dashboard performance optimization
• AI & automation: practical experience applying AI/ML to commercial analytics and process automation; ability to translate business needs into scalable AI-enabled solutions, with clear business rationale and appropriate controls
• Strong grasp of statistics and ML fundamentals
• Excellent communication skills; able to convert complex analyses into clear business actions.
• Native Italian, Proficiency in English. Spanish is a plus
• Collaborative mindset, team worker.

WHAT WE OFFER:

Permanent contract

Level B2, Chemical - Pharmaceutical NCBA

Starting salary (annual gross): € 44.446,78 - depending on candidate experience

Variable pay

Local benefit package

Any unsolicited resumes sent to Zoetis from a third party, such as an Agency recruiter, including unsolicited resumes sent to a Zoetis mailing address, fax machine or email address, directly to Zoetis employees, or to Zoetis resume database will be considered Zoetis property. Zoetis will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

Zoetis will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. This includes any Agency that is an approved/engaged vendor but does not have the appropriate approvals to be engaged on a search.

Notice: Zoetis Recruiters will contact candidates via email from an address ending in @zoetis.com and may also initially connect with candidates through LinkedIn, including LinkedIn InMail. Zoetis does not use Gmail, Outlook, Yahoo, or other web-based/generic email domains to communicate about job opportunities, interviews, or offers of employment. If you receive a recruitment-related email message claiming to be from Zoetis that does not come from @zoetis.com, please treat it as suspicious. For your security, do not reply, click links, open attachments, share personal or financial information, or send money in response to unexpected or questionable recruitment communications.