Data Analyst F/M/X

Amaris Consulting

Amaris Consulting, an international organization, is looking for a Data Analyst to join their dynamic team in Belgium. The role is critical for interpreting and analyzing data to generate business insights that shape strategic decisions. The team focuses on using statistical tools to address management needs and enhance data-related processes.

In this role you can expect to have the responsibilities:

• Analyze and manage large datasets in collaboration with stakeholders.
• Conduct quality control checks on data and resolve discrepancies.
• Develop reports with trends and actionable insights.
• Coordinate with management to align data solutions with business needs.
• Maintain and update databases, ensuring data integrity.
• Establish procedures for handling and cleaning data.
• Work with IT to create secure systems for data protection.

This role comes with the following benefits:

• International learning environment.
• Extensive training and certifications.
• Access to a R&D laboratory for skill development on innovative projects.
• Opportunities to contribute new ideas to business growth.
• Individual coaching, mentoring, and learning from experts.
• Tailor-made and evolving career path.

This role requires you to have:

• Degree in Mathematics, Computer Science, or Statistics.
• Proficiency in RDBMS such as SQL Server, Oracle, or MySQL.
• Knowledge of statistical software like SAS and visualization tools like Tableau.
• Strong analytical skills with attention to detail.
• Experience in collecting and analyzing significant data with accuracy.
• Excellent verbal and written communication skills in English.

You would benefit from having:

• Knowledge of Dutch or French.
• Experience in queries, report writing, and presenting findings.
• 1 to 7 years of experience in a related field.

Amaris Consulting values agility, international scope, intrapreneurship, and attentive management. The company is committed to diversity and provides an inclusive environment, welcoming all qualified candidates regardless of personal characteristics.