AI Automation & Analytics Specialist
Pubblicato il 28-09-2026 - Zoetis in Roma
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 vantaggi package
Full time
Regular
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