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Data Analyst

MasORange -
Ans

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Vacaturegegevens

Extralegale voordelen

Bedrijfswagen
Elektronische maaltijdcheques

Kwalificaties

Frans
Statistische software
Computerwetenschappen
Power BI
Microsoft Excel
R
Alteryx
Google Cloud Platform
Tableau
SQL
AWS
Databasemanagement
Bachelor
ETL
Managementervaring
Python
Nederlands

Volledige vacaturetekst

Available in 3 locations

Available in 3 locations See allSee all

Data Analyst

Available in 3 locations

ANS, BELGIUM

BRUSSELS, BELGIUM

CHARLEROI, BELGIUM

Ans, Gosselies, Brussels

Category: Other

561773-20136094

Regular

Not Specified

Orange Belgium

Publication date : Jul 07, 2026, 12:00AM

Contract duration :

YOUR MISSON:

As a Data Analyst in the E2E Quality department, you will be responsible for collecting, analyzing, and interpreting complex data sets to help drive data-driven business decisions. You will work closely with various departments to understand their data needs, provide insights, and develop data strategies that improve customer quality and business performance. Your ability to turn data into actionable information will be key in supporting our organization’s quality and efficiency.

Job location: Brussels / Gosselies / Ans.

YOUR MAIN RESPONSABILITIES:

Gather and process both structured and unstructured data from various sources including databases, APIs, and raw data files thats contribute to the company data lake.
Challenge any assumption and perform data exploration, cleaning and preprocessing to ensure data integrity, quality, and relevant usability.
Analyse large data sets to identify trends, patterns, and correlations relevant to business objectives by leveraging on statistical methods and data mining.
Translate complex technical data into simple usable indicators and perform in depth analysis delivering understandable findings that will trigger actionable business recommendations.
Create visualizations and dashboards to represent data findings in a clear and concise manner to stakeholders, including management and other departments.
Collaborate with cross-functional teams to understand business challenges and develop data-driven solutions to improve the customer experience, strengthen the technical leadership and optimize resource allocation.
Automate repetitive tasks and processes using scripts and macros or building simple frameworks.

Your profile:

Bachelor's ormaster's degree in Data Science, Statistics, Mathematics, Computer Science
Minimum 3 years of experience in a similar function
Experience with statistical software and database management(e.g. BigQuery, SQL, Python, R, Excel)
Proficiency in BI tools such as data visualization(e.g. PowerBI, Google Looker, Tableau)
Experience with ETL within Cloud environments(e.g. GCP, DataForm, Matillon, Alteryx, AWS Redshit)
Strong analytical and problem-solving skills with attention to detail and high level of accuracy
Excellent communication and presentation skills
Ability to work independently and as part of a team
Fluent French & English. Dutch would be a plus

Join Our Dynamic Team!

We invite you to work in a collaborative and stimulating environment, engaging with exciting AI projects. Enjoy the flexibility to work from Brussels, Ans, Gosselies, or remotely from home, in accordance with our internal policies.

You will make the difference in this highly innovative vibe. As a result, you will develop your full potential by working with highly skilled colleagues and through continuous training. Moreover, you can count on a highly competitive and versatile compensation (market competitive salary, company car or legal mobility budget, homeworking and net allowance, performance bonus, meal vouchers) and benefits package.

Inspired? Please submit your CV and we will get back to you to discuss the next steps.

At Orange, only your skills matter.

Regardless of your age, gender, background, origin, religion, sexual orientation, disability, neurodiversity, or appearance, we actively encourage diversity within our teams, as it is a collective strength and a driver of innovation.
Orange is a disability-inclusive employer: please feel free to let us know about any specific needs you may have.

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