Global Data Solutions Delivery Analyst

Campari Group today is a major player in the global branded spirits industry, with a portfolio of over 50 premium and super premium brands, marketed and distributed in over 190 markets around the world, with leading positions in Europe and the Americas.
Headquartered in Milan, Italy, Campari Group owns 25 plants worldwide and has its own distribution network in 26 countries, and employs approximately 4,700 people.
Shares of the parent company Davide Campari - Milano N.V. are listed on the Italian Stock Exchange since 2001. Campari Group is today the sixth-largest player worldwide in the premium spirits industry.
General Description of the Role
In the Technology & Services organization, the Data & Analytics Team enables data-driven decisions by turning data into reliable insights that support business strategy and performance.
The team works with business and technical stakeholders to manage the data lifecycle, deliver analytics solutions, strengthen data governance and literacy, and define value-driven data strategies and use cases.
The team partners with business and technical stakeholders to manage the data lifecycle, deliver analytical solutions, promote data governance and literacy, and support the definition of data strategies and use cases aligned with business priorities.
Within the Data & Analytics team, the Data Solutions Delivery Analyst - Sales & Marketing supports the delivery and evolution of Sales & Marketing data products, reporting solutions and data integrations. The role helps translate business needs into clear requirements, supports delivery activities, monitors data product performance and collaborates with business, technical teams and external partners.
Key Responsibilities and Activities
DataPlatform, Modelling and Architecture Support
Support data integration scope definition and documentation for Sales & Marketing sources such as Nielsen, CRMs, external marketing agencies and commercial enterprise systems
Contribute to data modelling by documenting entities, relationships, business definitions and use-case requirements
Data Reporting and Analytics Delivery
Support delivery and enhancement of Sales & Marketing Data Reporting & Analytics solutions, including Power BI, Azure pipelines and Databricks
Gather and validate reporting requirements, KPI definitions and analytical perspectives with business stakeholders
Support testing, issue resolution, status updates and adoption of reporting enhancements
Data Pipeline Operations and Monitoring
Monitor refresh processes, pipeline execution and reporting availability for assigned data products
Support investigation of data quality, refresh and reporting issues, coordinating with technical teams as needed
Data Product Delivery and Business Alignment
Support backlog, priorities and delivery activities for Sales & Marketing data products
Translate business needs into requirements, user stories, acceptance criteria and functional documentation
Data Engineering, AI Enablement and Stakeholder Coordination
Assist in onboarding new data sources and documenting data flows, ingestion needs and processing logic
Support reuse of semantic models and curated datasets for advanced analytics and AI-enabled use cases
Coordinate working sessions, documentation, action logs and follow-ups with IT, business teams and partners
Required skills and experience
Experience & Background
3-5 years of experience in Data Analytics, BI delivery, CRM analytics, commercial reporting or data product support
Experience with Sales & Marketing, CRM, customer or commercial analytics use cases, preferably in a global environment
Hands-on experience with requirements gathering, tech documentation drafting, testing, issue tracking and stakeholder coordination
Business Skills
Good understanding of Sales & Marketing processes, CRM data, commercial KPIs and analytics-driven decisions
Ability to translate business needs into structured data, reporting and analytics requirements
Strong analytical mindset, attention to detail and clear communication with business and technical stakeholder
Technical Skills and Awareness
Working knowledge of BI and analytics tools, preferably Azure, Power BI and Databricks
Understanding of data pipelines, ingestion, data modelling and data quality controls
Ability to collaborate with data engineers, architects, BI developers and external delivery partners
Key competencies
Analytical mindset and ability to connect data outputs to business questions
Strong attention to detail, accuracy and documentation discipline
Structured problem-solving and ability to investigate issues methodically
Good stakeholder management and coordination skills in cross-functional environments
Ability to communicate data and analytics topics clearly to both technical and non technical audiences
Pragmatic execution focus and ability to follow up on a