Overview In this role you shape end-to-end data and analytics solutions for EUCAN & International, aligning business needs with scalable data products. You partner across commercial teams, IT, and data offices to ensure solution integrity and governance. You drive process improvements and explore AI-enabled approaches to boost efficiency and decision-making.

You will anchor the business-facing analytics function, turning requirements into trusted outputs that support regional strategy and execution. This is a hands-on, cross-functional role with a clear impact on reporting, governance, and data readiness.

Responsabilidades

Translate business needs into structured, scalable requirements and define acceptance criteria

Map requirements, identify data products, and manage scoping for new and evolving solutions

Lead prioritization and traceability of requirements across Business, ADO, and technical teams

Streamline workflows and apply process redesign to improve efficiency

Ensure data products and dashboards are trusted, reusable, and aligned with business outcomes

Model semantic layers, KPI logic, and align reporting semantics

Support data quality, reconciliation, and business validation of data structures

Govern datasets with metadata awareness and readiness for FAIR and AI-ready use cases

Lead end-to-end lifecycle activities for dashboards, reporting enhancements, and data product changes

Drive UAT, validation, go-live readiness, and documentation for business adoption





Promote AI-enabled validation and automated workflows with human-in-the-loop controls

Help standardize definitions, validation approaches, and onboarding across the region

Support governance, continuity, and scalability of the Advanced Analytics & Data Management function

Requisitos principales Bachelors degree in business, Information Systems, Data & Analytics, Life Sciences, or related field

7+ years in business analysis, data/analytics delivery, BI, or related function

Proven ability to translate business needs into data engineering/BI requirements

Strong grasp of data structures, semantic layers, KPI logic, and analytics workflows

Experience with BI/reporting tools, preferably Power BI; initial Power BI development is a plus

Experience with data warehouse solutions, ideally Snowflake; solid SQL skills

Experience supporting UAT, validation, and release readiness

Strong stakeholder management across business and technical teams

Ability to work in complex, cross-functional, matrixed environments

Excellent communication, facilitation, and documentation skills

Structured, analytical mindset with attention to detail

Interest in workflow streamlining and technology-enabled process improvement

Experience applying generative AI in data management or analytics with human-in-the-loop design

Ability to influence without authority and align across integral, regional, and local levels

Fluent in English stakeholder management communication facilitation

Power BI

Snowflake

SQL

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