Overview
La información a continuación detalla los requisitos del puesto, la experiencia esperada del candidato y las cualificaciones correspondientes.
As a Data Foundations Analyst, you will help reshape how organizations leverage data to fuel analytics, AI, and agentic solutions within Supply Chain and Operations. You will build scalable, governed data assets and contribute to data-driven transformation initiatives. You’ll work with cross-functional teams to design AI-ready data products and ensure data quality and lineage. This role offers meaningful impact by enabling trusted data foundations that power analytics and AI across large-scale operations.
Compensaciones / Beneficios
Health, life, and accident insurance
Medical service and wellness programs
Versátil compensation plan and share purchase program
Flexibility programs (working hours, time off, holidays)
Individualized training path
Sustainability programs and Accenture Foundation initiatives
Responsabilidades
Contribute to data-driven transformation initiatives focused on cleansing, harmonization, and enrichment
Design and build reusable, governed, and AI-ready data products for analytics platforms and AI agents
Support implementation of data governance frameworks, including definitions, quality rules, metadata, and lineage




Operate and monitor AI-enabled data solutions ensuring accuracy and reliability
Apply data modeling concepts to design scalable relational structures for supply chain analytics
Build data pipelines and curated datasets using Python, Databricks, Power BI, SQL-based platforms
Collaborate with data engineers, AI specialists, and business stakeholders to deliver robust data solutions
Develop semantic layers, reporting structures, and self-service capabilities for applications and agentic systems
Requisitos principales
1.5+ years of experience in data-related roles
Hands-on experience in data, analytics, or AI via work, internships, xqbhyrx or projects
Strong interest in AI and agentic AI applied to data and business processes
Data modeling concepts, SQL, relational data structures
Understanding of data lifecycle and data management principles
Familiarity with Python and/or analytics tools such as SQL-based platforms, Alteryx, Databricks, Power BI
Strong analytical and problem-solving mindset
Curiosity about data governance, quality, and harmonization
Willingness to learn and work with complex data ecosystems
Data modeling concepts
SQL and relational data structures
Data lifecycle and data management principles

📌 Supply Chain AI&Data – Data Foundations – Consultant / Manager (Barcelona)
🏢 Accenture
📍 Barcelona