Data Analyst

MasORange
Ans, Belgium
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Languages
Dutch, English, French
Job source

Tech stack

Microsoft Excel Application Programming Interfaces (APIs) Amazon Web Services Data Analysis Big Data BigQuery Databases Data Integrity Extract Transform Load (ETL) Data Mining Data Visualization R (Programming Language)
+14 more
Python (Programming Language) Raw Data Power BI SQL Databases Tableau (Software) Technical Data Management Systems Unstructured Data Cloud Platform System Data Strategy Data Lakes Information Technology Data Analytics Looker Analytics Alteryx

Job description

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., * 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.

Requirements

  • 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

Benefits & conditions

Pulled from the full job description

  • Company car
  • Food allowance, 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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