Business Analyst

Teceze; Braga; On-site; EUR 42,000 - 65,000; Full time

Job summary

Teceze is seeking a Techno-Functional Business Analyst to drive data requirements and analytics within a strategic Data Lake initiative. The role focuses on translating business needs into data products, working closely with data engineers, architects, and governance teams to ensure effective data governance and value delivery.

Experience with Data Lake/Data Warehouse projects and SAP is highly valued, along with exposure to Agricultural Commodity Trading.

Qualifications

• 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.
• Strong analytical and data interpretation skills.
• Excellent stakeholder communication and workshop facilitation skills.
• Experience working with a back-office ERP system such as SAP.
• Experience or exposure to Agricultural Commodity Trading is preferred.

Responsibilities

• Gather, document, and manage business and data requirements.
• Translate business requirements into Data product requirements and user stories with acceptance criteria.
• Use SQL to analyze and interpret business data.
• Work with data engineering teams to define source-to-target mappings and support data product development.

Skills

SQL

Data analysis

Stakeholder management

Workshop facilitation

Financial data

Data modeling

Tools

SAP

BI platforms

Data governance tools

Job description

Business Analyst – Techno-Functional / Data

• Contract Duration: 1 Year contract
• Location: Porto, Portugal

Job Summary

We are looking for a Techno-Functional Business Analyst with experience or exposure to Agricultural Commodity Trading to support a strategic enterprise program focused on building a centralized and scalable Data Lake platform.

The Business Analyst will work closely with business stakeholders, data engineering teams, architects, governance teams, and product owners to understand business needs, define data requirements, and support the development of high-value data products.

Key Responsibilities

1. Business & Data Requirements

• Gather, document, and manage business and data requirements.
• Translate business requirements into:
• Data product requirements
• User stories and acceptance criteria

2. Data Analysis & Insights

• Analyze data sources to assess:
• Requirement fit
• Use SQL to analyze and interpret business data.

3. Data Lake & Product Enablement

• Work with data engineering teams to define:
• Source-to-target mappings
• Support data product development and implementation.

4. Stakeholder Management

• Collaborate with business teams, data engineers, architects, product owners, and governance teams.
• Facilitate workshops to identify valuable data use cases and analytics requirements.
• Align stakeholders on priorities, scope, and expected outcomes.

Required Qualifications

Must Have:

• 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.
• Strong analytical and data interpretation skills.
• Excellent stakeholder communication and workshop facilitation skills.
• Experience working with a back-office ERP system such as SAP.
• Experience or exposure to Agricultural Commodity Trading is preferred.

Good to Have

• Experience building reports using BI platforms.
• Knowledge of data governance tools.
• Experience working with data engineering and data product teams.