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Portugal
Work type
Hybrid
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Overview

Expleo is a trusted partner for your innovation journey. As a global engineering, technology and consulting service provider, we are ideally positioned to help you achieve your ambitions and future-proof your business. With a smart blend of bold thinking and reliable execution, we’re able to fast-track innovation through each step of your value chain.

We are strategically positioned to build value, with global footprint across 30 countries.
We are as global and local as you need us to be, with strong best-in-class pan-European technological centres and unique best-shoring capabilities.

We leverage a network of high value-adding affiliates in consulting and industrial excellence, and leading partners across multiple sectors to provide you with the most comprehensive services and solutions in an ever-changing environment.

Responsibilities

- 3 to 6 years of relevant professional experience in data analysis, reporting, performance monitoring, or financial/operational analysis.

- Bachelor’s degree (mandatory) in Computer Science, Management Information Systems, Statistics, Mathematics, Management, Economics, or a related field.

- Perform daily analysis of ATM indicators (permanent or temporary cash capacity vs. consumption).

- Generate daily replenishment orders based on consumption needs.

- Prepare performance reports.

- Analyse supplier invoices, validating them against requested orders and other relevant items.

- Prepare content, presentations, documents, and reports for internal and external clients.

- Participate in team meetings.

Essential skills

- Experience in statistical analysis of indicators, identifying trends and patterns.

- Strong knowledge of Microsoft Office, particularly Excel and Access.

- Knowledge of relational databases, including SQL Server and T-SQL.

Desired skills

- Knowledge of programming languages (e.g., VBA).

- Knowledge of Information Systems (IS) and IS integration methods.

- Master's degree (preferred) in one of the following fields:

Computer Science / Management Information Systems.

Statistics.

Mathematics.

Management / Economics.

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