LACO

www.laco.be

3 Jobs

243 Employees

About the Company

LACO is a Belgian-based business and data intelligence company with over 35 years of experience. Way back in 1994, we were the first SAS partner in Belgium. Today we are still the largest and most experienced partner. Since 2006, we have successfully expanded with a second entity to Microsoft BI. Our third practice specializes in data governance and advanced analytics also covering some best-of-breed technologies like R, Python and Hadoop. Today, our team of over 110 consultants is dedicated to helping businesses in a wide variety of industries to leverage the untapped power of data and navigate the digital realm.

LACO, the reliable data partner in your digital transformation.

Listed Jobs

Company Name: LACO
Job Title: Data Scientist (Client)
Job Description: Job title: Data Scientist (Client) Role Summary: Data Scientist responsible for developing and improving predictive models and AI-driven solutions within the Microsoft ecosystem. Acts as a bridge between technology and business, translating business questions into actionable insights, coaching colleagues, and enhancing data‑science capabilities across projects. Expactations: • Minimum 3 years of experience in data science or related analytics roles. • Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or equivalent. • Proficiency in Python for predictive modeling (regression, classification, time series) and familiarity with machine‑learning frameworks. • Hands‑on experience or strong interest in Microsoft Fabric and Azure data & analytics services. • Experience working in agile environments. • Strong communication skills in English (written and spoken). Fluent in Dutch and/or French is a plus. Key Responsibilities: - Design, build, and deploy predictive models and AI solutions using Python. - Translate business requirements into data‑science use cases and deliver actionable insights. - Coach and mentor team members; share knowledge through knowledge‑sharing sessions and internal initiatives. - Collaborate closely with business stakeholders to understand challenges and objectives. - Experiment with advanced analytics, machine‑learning, and AI techniques to drive innovation. - Explore and leverage Microsoft Fabric and related Azure data services. - Communicate complex model outcomes clearly to non‑technical audiences. - Contribute to proposals, presentations, and internal best‑practice documentation. Required Skills: - Python programming (pandas, NumPy, scikit‑learn, etc.). - Predictive modeling: regression, classification, time‑series forecasting. - Machine‑learning frameworks (TensorFlow, PyTorch, ML.NET, etc.). - Familiarity with Azure services (Data Factory, Synapse, Azure ML) and Microsoft Fabric. - Knowledge of data‑science tooling (Jupyter, VS Code, Git, CI/CD pipelines). - Agile methodologies (Scrum, Kanban). - Clear written and verbal communication; ability to explain technical concepts to business stakeholders. - Coaching and mentoring mindset. Required Education & Certifications: - Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or related field. - Certifications related to Azure AI/ML or Microsoft Fabric are advantageous.

Company Name: LACO
Job Title: Analytics Engineer
Job Description: Job Title: Analytics Engineer Role Summary: Develop reliable data products by translating business requirements into structured analytics solutions. Focus on data modeling, pipelines, visualizations, and collaboration with stakeholders to drive actionable insights. Expectations: Deliver robust data models and pipelines; create dashboards; uphold governance standards; act as a bridge between technical and non-technical teams. Key Responsibilities: - Translate business needs into data solutions and models. - Design and maintain analytical data models (dimensional, data marts). - Develop and optimize ETL/ELT processes using SQL, Python. - Produce dashboards and reports via BI tools (Power BI, Tableau). - Collaborate with stakeholders to align solutions with business goals. - Ensure governance, documentation, and quality of data assets. Required Skills: - Advanced SQL proficiency. - Data modeling experience (dimensional modeling, star schemas). - Python for data transformation. - BI tool expertise (Power BI, Tableau). - Cloud data platforms (AWS, GCP, Azure). - Business requirement translation and problem-solving. - Clear communication for cross-team collaboration. Required Education & Certifications: Bachelor’s or Master’s in Computer Science, Data Analytics, or related field.

Flemish region, Belgium

Hybrid

14-01-2026

Company Name: LACO
Job Title: Data Analyst
Job Description: **Job Title** Freelance Marketing Data Analyst **Role Summary** Support strategic and operational decisions by analyzing marketing campaign performance, building and maintaining dashboards, and delivering actionable insights that drive customer experience, conversion, and revenue growth within a performance‑focused, data‑driven environment. **Expactations** - Minimum 3 years of experience measuring marketing and communication performance. - Proficiency in French (or Dutch) with passive knowledge of the other language. - Ability to work independently and collaboratively across a cluster of analysts. - Commitment to continuous improvement and fostering a performance‑driven culture. **Key Responsibilities** - Analyze campaign data to inform strategic and operational decisions. - Develop, maintain, and enhance dashboards, reports, and KPIs (e.g., Tableau, Power BI). - Identify optimization opportunities; recommend data‑driven solutions to improve conversion and revenue. - Translate complex datasets into clear business narratives and visualizations. - Document analytical methodologies, tools, and processes. - Provide training and guidance to end‑users on marketing performance analysis. - Contribute actively to building a strong performance culture within the team. **Required Skills** - Strong knowledge of marketing performance KPIs, funnels, and conversion metrics. - Advanced SQL and SAS proficiency. - Expert Excel skills (advanced formulas, pivot tables, macros). - Experience with at least one data‑visualization platform (Tableau or Power BI). - Familiarity with Adobe Analytics, SemRush, and/or Sprinklr. - Excellent analytical, problem‑solving, and communication abilities. - Bilingual: French / Dutch (one fluent, the other passive). **Required Education & Certifications** - Bachelor’s degree in Data Analytics, Statistics, Marketing, Business Intelligence, or a related field (or equivalent professional experience). - Relevant certifications (e.g., Tableau Desktop Specialist, Microsoft Power BI, SAS Base) are a plus but not mandatory.