Lead the design, development and optimization of data solutions that support business-critical KPIs, performance metrics, and forecasting across multiple functional domains.
Translate complex and ambiguous business problems into structured analytics projects, using tools such as SQL, Python, AFO, Alteryx, and Tableau.
Build and maintain data transformation workflows and models using tools like Alteryx or DBT to ensure scalable and reusable analytics outputs.
Apply project management discipline to plan, prioritize and deliver analytics initiatives that align with business priorities.
Own the design, implementation, and maintenance of self-service BI platforms and dashboards with high standards of reliability, performance, and usability.
Collaborate with cross-functional leaders to define analytics strategies and influence decision-making.
Perform deep-dive analyses to identify performance gaps, root causes, and improvement opportunities, presenting clear, actionable recommendations.
Champion data quality, governance, and stewardship practices to ensure data integrity across systems and workflows.
Mentor and review the work of junior / medior analysts, setting technical direction and encouraging skill development.
Contribute to analytics modernization initiatives through process automation, DBT adoption, and lightweight scripting in Python where applicable.
Effectively communicate findings and value propositions to senior management through storytelling, executive-ready presentations, and visual analytics.
Required qualifications:
Master’s degree in Data Science, Analytics, Computer Science, or a related field.
Minimum of 5 years' experience in data analytics, business intelligence, or related fields.
Advanced expertise in SQL, Alteryx, AFO, Excel, and Tableau.
Working knowledge of Python for scripting, automation, or lightweight analysis tasks.
Familiarity with DBT for modular, documented, and version-controlled data transformations.
Strong understanding of data structures, pipelines, and analytics architecture principles.
Proven ability to translate business problems into technical analytics solutions.
Excellent communication and storytelling skills, able to translate complex analysis into clear, persuasive insights for senior stakeholders.
Demonstrated project management skills, including prioritization, stakeholder alignment, and timely delivery of analytics initiatives.
Preferred qualifications:
Experience working with structured and unstructured data sources.
Knowledge of enterprise data governance and data stewardship best practices.
Prior experience in operations or supply chain environments is a plus.
What we offer you:
Attractive benefits package - very competitive salary (including 8% holiday pay, 13th month and yearly bonus)
30 days of annual leave
A very good pension scheme
A stock purchase program
Excellent training/development programmes to influence your career