Data Analyst with Development Skills

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 a 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:

We are looking for a data analyst who can also develop practical tools.
The main responsibility is to analyze operational data from tolling and intelligent transportation products.
The candidate will use SQL and Excel to prepare data, investigate results, identify problems and communicate findings.
The candidate will use Python, Linux, and scripting to build small utilities and repeatable workflows.

Essential skills:

Data analysis:

• Practical professional experience analyzing data;


• Good working knowledge of SQL;


• Good working knowledge of Excel, including formulas, filters, pivot tables, and charts;


• Ability to clean, compare, summarize, and validate data;


• Ability to identify inconsistencies, patterns, and outliers;


• Ability to explain findings clearly to technical and non\-technical people.

• Practical experience with Python;


• Familiarity with Linux and command\-line tools;


• Familiarity with scripting and task automation;


• Ability to create or adapt small tools that make analysis faster or more reliable.

• Strong analytical skills and critical\-thinking ability;


• Careful and methodical when handling data;


• Able to question assumptions, assess evidence, and distinguish facts from interpretations;


• Able to document assumptions, steps, and conclusions;


• Highly autonomous and accountable for progressing work independently;


• Comfortable working in an exploratory environment where the problem and expected outcome may not always be fully scoped;


• Comfortable collaborating with software and operations teams;


• Good communication in English, spoken and written.

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