Medior Data & Analytics Consultant

#LI-ES1

Joining KEYES means putting your talent to meaningful use

Are you looking for an environment where technology is more than an end in itself—a way to build a sustainable future? At KEYES, we look beyond technical expertise; we seek people who share our values.

Would you like to advance your career and grow with one of Belgium’s leading IT companies?

Join KEYES as a Medior Data & Analytics Consultant!

KEYES supports private and public organisations in Belgium and across Europe in their digital transformation, combining business expertise, technological know-how and a long-term vision.

We help large organisations, the public sector, healthcare providers and SMEs address their digital challenges through Infrastructure & Cloud Solutions, Cybersecurity Solutions, Business Software Solutions, Mainframe Solutions, Data & AI Solutions, Advisory Solutions and Staffing Solutions.

More information: www.keyes.eu

At KEYES, we do more than keep pace with technological developments: we help shape them!

Our strength lies in our complete control over our infrastructure. With our own data centres, we provide our clients with full data sovereignty, enhanced security and compliance with the strictest privacy and governance requirements.

We have also developed our own generative artificial intelligence solution, SophIA, a Large Language Model (LLM) designed to meet businesses’ specific needs. Unlike generic solutions on the market, SophIA can be deployed, configured and customised directly within the client’s environment, ensuring full control over sensitive data and seamless integration with existing business processes.

Joining KEYES means contributing to innovative projects where AI, sovereign cloud and next-generation infrastructure come together to create high-value solutions. It also means growing within a company that values expertise, innovation and autonomy, while making a tangible impact on tomorrow’s technological challenges.

YOUR MISSION

You will work on a strategic client assignment in the financial sector, within a Data Warehouse environment, with opportunities to progress to other technologies and client settings.

Your main responsibilities:

• Analyse and understand business needs through direct interaction with users and IT teams.

• Translate these needs into data models and BI solutions (data marts, DWH).

• Actively contribute to building ETL/ELT pipelines and DWH components.

• Ensure the quality and performance of the solutions delivered within your scope.

• Contribute throughout the delivery lifecycle: analysis, development, testing and production deployment.

• Participate in business workshops, supporting the senior consultant.

• Document delivered solutions and contribute to the team’s knowledge base.

WHAT WE OFFER

• A role offering plenty of responsibility and challenges.

• The opportunity to join a certified Top Employer, recognised for several consecutive years for HR practices that foster an excellent working environment and employee well-being.

• A team of enthusiastic professionals, with a friendly working atmosphere and a culture of sharing expertise.

• A dynamic company focused on innovation.

• Personalised career support aligned with your expectations and ambitions, with opportunities to grow through our various development plans.

• Continuous learning through numerous training and certification opportunities. An innovative e-learning platform offering unlimited access to more than 25,000 technical and soft skills learning resources from Edflex and Udemy.

• Hybrid working: depending on your team assignment, you will work from our offices in the Liège region, Brussels or Heverlee. You can also work from home up to three days a week.

• A comprehensive compensation package.

• As part of our commitment to reducing our environmental impact, KEYES has transitioned to an electric company car fleet.

• Fun moments together—food trucks, barbecues, after-work events, family days and more.

#LI-EA1

#LI-ES1

• 3–5 years of experience in BI and Data, including hands-on experience on at least one end-to-end DWH project.

• Initial experience working directly with business stakeholders, beyond a purely back-end role.

Technical skills

Must Have:

• Strong SQL skills: writing and reading complex queries, joins, aggregations and subqueries—with basic query optimisation skills and an understanding of execution plans.

• ETL/ELT: understanding of data transformation and loading concepts, with hands-on experience using at least one tool—ability to implement and maintain existing pipelines.

• Data modelling: working knowledge of Star Schema and the Kimball methodology—ability to read, understand and extend an existing model, with an initial understanding of fact tables, dimensions and Slowly Changing Dimensions (SCD).

• Knowledge of DWH architectures: understanding of the different data ingestion layers [OF1] and flows from source to consumption—ability to understand how your work fits into the overall architecture.

• Building data pipelines and DWH components: hands-on involvement in implementing ETL pipelines and DWH components under supervision, with a focus on code quality and maintainability.

• Git / version control: basic use in a project setting—commits, branches and pull requests in a collaborative environment.

Nice to Have:

• Data Vault: initial exposure to the fundamental concepts—understanding of the Hub / Link / Satellite structure and how it differs from Star Schema.

• Visualisation and reporting tools: initial experience with at least one tool (SAP BI, MicroStrategy, Power BI or equivalent)—ability to read and modify an existing report.

• ETL tools with advanced automation: initial exposure to tools focused on code generation or metadata automation (WhereScape or equivalent).

• Python: basic scripting knowledge and initial experience in data processing or automation—familiarity with the basics of pandas or equivalent.

• Cloud data platforms: introductory knowledge of at least one modern platform (Microsoft Fabric, Databricks or equivalent)—understanding of basic cloud storage and processing concepts.

• Certification underway or planned: PL-300 Power BI Data Analyst or DP-600 Fabric Analytics Engineer—demonstrating an active commitment to developing skills in modern platforms.

• Data quality: initial exposure to data profiling and the definition of quality rules—awareness of the importance of reliable and consistent data.

• Data lifecycle: basic understanding of data lineage and traceability—ability to document the transformations applied to data within the pipelines you contribute to.

• Multi-project or multi-client environments: initial experience in consulting or service delivery, with exposure to different client contexts.

• Knowledge of the financial or public sector in BeLux: familiarity with typical data structures or sector-specific regulatory requirements.

Functional skills

Must Have:

• Ability to understand business needs: identifying the objectives behind a request and asking relevant questions to clarify expectations and resolve ambiguities.

• Confidence working with non-technical stakeholders: ability to explain technical constraints in simple terms, listen actively and restate expressed needs clearly.

• Thorough and structured approach: ability to work in an organised manner within a cross-functional team, follow documentation standards and produce clear, usable deliverables.

• Basic knowledge of Agile / Scrum methodologies: understanding of how a sprint works, participation in ceremonies (planning, daily stand-ups and retrospectives), and management of your tasks within a backlog.

Nice to Have:

• Initial experience facilitating workshops or requirements-gathering sessions: ability to prepare supporting materials, facilitate discussions and summarise conclusions.

• Experience in multi-project or multi-client environments: ability to adapt quickly to new settings and stakeholders.

• Strong interest in the functional and business aspects of the role, beyond the technical elements.

Interpersonal skills

Must Have:

• Ability to integrate quickly into a demanding client environment: adaptability and the ability to quickly understand a new client’s working practices and constraints.

• Proactivity and a willingness to develop: taking initiative in areas you know well, identifying gaps and actively working to build your skills.

• A thorough approach and a strong commitment to the quality of your deliverables.

Nice to Have:

• An interest in documentation and formalising best practices.

• Curiosity about technology and openness to changes in the technology stack.

Language skills

• Fluency in French is essential for the role. Dutch is an advantage.

• English: professional proficiency required.