Enthusiast Analytics Talent Class

Enthusiast Analytics Talent for our Class of 2026

As a young graduate at element
61, you will embark on a comprehensive journey through the broad Analytics domains. Over the first 18 months, you will gain hands-on experience in building data pipelines, setting up data platforms, developing machine learning models, performing feature engineering, and creating visualizations. This role offers a unique opportunity to learn and contribute to end-to-end analytics projects across various industries.

Our job offer is there to reflect our different activities within the Analytics team at element
61.

After your application, we ll jointly look for the perfect fit to kickstart your journey. Whether you re more interested in Data Engineering, Data Analysis, Machine Learning, GenAI or ESG, we ve got you covered with one of our roles. As of your start, you ll be onboarded with a dedicated learning program after which you ll be embarking on your first customer engagements.

Following roles can be filled in by our young graduates:

Key Responsibilities and skills you will gain

• Platform Set-Up & Data Engineering:Build and maintain data platforms. Develop data pipelines and ensure data quality and integration.
• Machine Learning & Data Science:Research, develop, and implement machine learning models. Perform data preparation, feature engineering, and model evaluation.
• Generative AI:Research, develop and implement generative AI solutions. You ll be assisting in generating value-added projects with this exciting new technology.
• Analytics & Insights:Use statistical analysis to interpret data sets, discover trends, and generate actionable insights. Design and develop reports and dashboards for business teams.
• Client Engagement:Work closely with clients (~50% of the time on-site) to understand their needs, manage project timelines, and provide coaching and training. Inspire clients with insights and opportunities for new data-driven use cases.
• Project Management:Embrace project management responsibilities, ensuring successful delivery of analytics solutions. Collaborate with client Data Scientists, Data Engineers, and Business Stakeholders.

• Education:University degree in Computer Science, Business Engineering, Management Information Systems, or a related field. A specialized master’s in Machine Learning or AI is a plus.
• Skills:Proficiency in SQL and Python. Knowledge of Spark, Microsoft Azure, Power BI, Databricks, Qlik, Google Cloud, and other analytics tools is advantageous.
• Experience:No prior working experience is required, but any relevant experience is a plus.
• Attributes:Passionate about data, machine learning, and analytics. Eager to learn and enthusiastic about being part of a growing team and industry.
• Fluent in English;
  Dutch or French is a plus.

• Learning & Development:Work with experienced colleagues and gain exposure to a variety of projects across different industries.
• Innovation:Be at the forefront of the latest trends in data science, machine learning, and analytics.
• Impact:Help businesses in Belgium understand and leverage the power of big data, analytics, and AI.

Discover the experiences of our team members, as they share their journey with us.

"I started at element
61 as an Analytics Architect, and my journey so far has been nothing short of transformative. From day one, the onboarding process stood out as it wasn’t just about learning the technical tools or methodologies. Instead, it was a well-rounded introduction to the company’s culture, values, and long-term vision. The structured training in the first month, combined with the expertise around me, immediately gave me the confidence to start these intriguing projects."

Ruben Mertens - Analytics Architect since September 2024. Graduated in 2024 - Master Business Engineering in Data Analytics - UGent

"During my onboarding at element
61, I experienced exceptional guidance and received training in relevant topics from experts within the company. Each new hire was provided with a personalized development plan. This plan proved invaluable in orienting myself during the initial weeks and clarifying where to focus my efforts. Additionally, having a dedicated coach available added a personal touch to the onboarding experience. As I transitioned from onboarding to active involvement in real-life projects, element
61 s supportive environment became even more evident. The gradual increase in responsibilities, coupled with the opportunity to work for actual clients, facilitated continuous learning. The accessibility of experts within the company created a conducive atmosphere for seeking guidance and asking questions at any point."

Pieter-Jan Cnudde - Data Scientist since September 2023. Graduated in 2023 - Master in Business Economics - KU Leuven