Supply Chain Ai&Data – Data Foundations – Consultant / Manager - Accenture

Jobrapido; Barcelona; Presencial; EUR 40.000 - 64.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Medical service

Flexible compensation

Flexible working hours

Training path

Sustainability initiatives

Descripción de la vacante

Jobrapido is seeking a Data Foundations Analyst to reshape how organizations leverage data for analytics, AI, and agentic solutions within Supply Chain and Operations. You will build governed data assets and contribute to data-driven transformation initiatives, working with cross-functional teams to design AI-ready data products and ensure data quality and lineage.

In this role, you will design scalable relational structures, build data pipelines with Python, Databricks, SQL, and Power BI, and

Formación

• 1.5+ years of experience in data-related roles.
• Hands-on experience in data, analytics, or AI via work, internships, or projects xqziphu.
• 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 analytics tools such as SQL-based platforms, Alteryx, Databricks, Power BI.

Responsabilidades

• Design 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.
• 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.

Conocimientos

Data foundations

Python

SQL

Databricks

Power BI

AI

Data governance

Data modeling

Analytics

Problem solving

Curiosity

Herramientas

Python

Databricks

Power BI

SQL-based platforms

Alteryx

Descripción del empleo

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.

• Health, life, and accident insurance
• Medical service and wellness programs
• Flexible compensation plan and share purchase program
• Flexibility programs (working hours, time off, holidays)
• Individualized training path
• Sustainability programs and Accenture Foundation initiatives
• 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
• 1.5+ years of experience in data-related roles
• Hands-on experience in data, analytics, or AI via work, internships, or projects xqziphu
• 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