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Tech Stack
Tools & technologiesCloudETLPythonSQL
About the role
Key responsibilities & impact- Accompany clients in identifying where AI and data can create the most value, scope the right initiatives, and make sure the solutions delivered fit their strategic stakes.
- Act as a trusted advisor on AI transformation, an AI coach for business teams, and a hands-on contributor when needed.
- Work closely with client stakeholders and internal team members to:
- Frame business questions into clear AI and analytics opportunities
- Run discovery and needs-scoping sessions with both business and technical stakeholders
- Translate between business language and technical reality, in both directions
- Identify the right KPIs and the right type of solution for each stake (analysis, model, dashboard, automation, agent, AI workflow)
- Coach business teams on how to use AI tools and AI products responsibly in their day to day
- Structure roadmaps and priorities with clients, from quick wins to longer-term plays
- Build prototypes, dashboards, models, or automations to demonstrate value where relevant
- Communicate findings, trade-offs, and recommendations to both technical and executive audiences
- Support implementation and adoption so that work leads to concrete action
- Complete assignments typically include AI audits, AI roadmaps, use case scoping, hands-on AI delivery, coaching of business teams on AI ways of working, and the more traditional data analytics work that often comes alongside.
- Supervise and coach junior team members on client missions and internal initiatives, helping them grow on the business, consulting, and technical sides of the job.
Requirements
What you’ll need- A master's degree in engineering, computer science, mathematics, statistics, business, or a related quantitative or scientific discipline
- At least 2 to 3 years of professional experience in consulting, analytics, or AI delivery, ideally in a client-facing role
- Fluency in English (our internal working language) is required, plus fluency in French or Dutch. Strong proficiency in Dutch is particularly valued.
- Valid type B driving license (Belgian car license) or equivalent
- Your core skills
- A solid foundation in analytics, statistics, and structured problem solving
- Hands-on experience with Python and SQL for data preparation, analysis, and modeling
- Comfort working with real-world datasets and turning ambiguous business questions into structured analytical or AI work
- Strong ability to frame and scope AI and data initiatives with business stakeholders
- Clear communication, with the ability to adapt your message between operational teams and executive audiences
- Comfort presenting recommendations and challenging assumptions directly with clients
- Nice to have
- Experience designing or scoping AI use cases, including LLM-based products and agents
- Experience with ETL / ELT workflows, cloud data environments, APIs, or analytics engineering
- Experience with BI and reporting tools
- Familiarity with machine learning, forecasting, segmentation, optimization, or experimentation
- Experience with version control, testing, and collaborative development practices
- Familiarity with AI-assisted or agentic coding workflows and tools such as Claude Code, Codex, GitHub Copilot, Cursor, or similar
- We are especially interested in candidates who can show how they use modern AI tools to work faster and better while keeping strong standards of rigor, validation, and documentation.
Benefits
Comp & perks- Competitive package: variable incentives, mobility budget, phone subscription, laptop, and meal vouchers
- Flexibility on remote working options, as long as it fits with our clients' best interests and team coaching needs
- Training and development: a roadmap co-designed with you, balancing your personal interests with the skills required by the role
- Supportive structure and transparency: we practice radical candor. We care personally about everyone, and we challenge each other constructively and directly.
- Modern tools: up-to-date hardware and software so technology is never the bottleneck.
- Visibility and trajectory: senior consultants shape our offerings (AI audits, agentic delivery, AI coaching), represent Agilytic in client and external settings, and have a transparent path toward Manager / Director / Partner.
- Oh, and a little bit of fun too: we take our work very seriously, but we're not afraid to laugh at ourselves. Life is too short.
ATS Keywords
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Hard Skills & Tools
PythonSQLanalyticsstatisticsAI deliveryETLELTmachine learningdata preparationmodeling
Soft Skills
clear communicationstructured problem solvingcoachingstakeholder managementadaptabilitypresentation skillstrust buildingcollaborationcritical thinkingmentoring
Certifications
master's degree in engineeringmaster's degree in computer sciencemaster's degree in mathematicsmaster's degree in statisticsmaster's degree in business
