Hybrid Data & Finance Analyst – KPI & Automation

Agap2It Portugal; Porto; Híbrido; EUR 40 000 - 54 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work model

Resumo da oferta

Agap2IT Portugal in Porto seeks a Bi/Data Business Analyst (Hybrid) to support the Global Supply Management Performance Finance team with KPI reporting, analytics, and automation initiatives.

You will collaborate with finance, systems, and regional teams to enhance performance reporting and drive data-driven improvements, while delivering monthly reports and quarterly reviews. Fluent English and advanced Excel/Power BI skills are required.

Qualificações

• Degree educated and/or professionally qualified accountant.
• 3+ years of relevant finance, reporting, or analytical experience.
• Fluent English required; additional languages beneficial.

Responsabilidades

• Support monthly performance reporting including KPI reporting and snapshots.
• Assist in quarterly business reviews, portfolio reporting, reconciliations, stakeholder reporting requirements.
• Continuously improve and automate reporting processes to enhance efficiency and accuracy.
• Provide ad hoc financial reporting and analysis to support business decisions.
• Document finance systems and reporting processes to support standardisation across regions.
• Support the development and implementation of enhanced data management and reporting capabilities.

Conhecimentos

Advanced Excel

PowerPoint

Analytical mindset

Stakeholder management

Financial reporting

Formação académica

Degree in finance or accounting

Ferramentas

Power BI

Descrição da oferta de emprego

Agap2IT Portugal in Porto seeks a Bi/Data Business Analyst (Hybrid) to support the Global Supply Management Performance Finance team with KPI reporting, analytics, and automation initiatives.

You will collaborate with finance, systems, and regional teams to enhance performance reporting and drive data-driven improvements, while delivering monthly reports and quarterly reviews. Fluent English and advanced Excel/Power BI skills are required.