Techno-Functional Data Analyst – Agro Trading

TECEZE; Porto; Presencial; EUR 42 000 - 62 000; Tempo integral

Resumo da oferta

TECEZE in Porto, Portugal is seeking a Techno-Functional Business Analyst with exposure to Agricultural Commodity Trading to support a strategic program building a centralized Data Lake platform. The role focuses on translating business needs into data models, pipelines, and analytics products with close collaboration across stakeholders.

You will work with data engineers, architects, governance teams and product owners to define data requirements, validate data quality, and enable data products

Qualificações

• Strong understanding of Finance, Accounting & Controlling, Treasury, Risk, and Compliance operations within a trading company.
• Ability to read and interpret accounting and financial data.
• Hands-on experience with Data Lake, Data Warehouse, or reporting implementation projects.
• Basic understanding of software development processes.
• Proven ability to translate business requirements into technical requirements.
• Hands-on experience with SQL and data analysis.

Responsabilidades

• Gather, document, and manage business and data requirements.
• Translate business requirements into data models and data product requirements; write user stories and acceptance criteria.
• Work with data engineering teams to define source-to-target mappings, data pipeline requirements, and metadata definitions.
• Collaborate with business teams, data engineers, architects, product owners, and governance teams; facilitate workshops to identify valuable data use cases and analytics requirements.

Conhecimentos

Finance knowledge

Accounting & Controlling

Treasury basics

Risk & Compliance

SQL

Data analysis

Stakeholder communication

Ferramentas

SAP

Data Lake

Data Warehouse

BI platforms

Descrição da oferta de emprego

TECEZE in Porto, Portugal is seeking a Techno-Functional Business Analyst with exposure to Agricultural Commodity Trading to support a strategic program building a centralized Data Lake platform. The role focuses on translating business needs into data models, pipelines, and analytics products with close collaboration across stakeholders.

You will work with data engineers, architects, governance teams and product owners to define data requirements, validate data quality, and enable data products