ELTRONA INTERDIFFUSION S.A.
Luxembourg, STRASSEN
Description des tâches:
Key Responsibilities
Collect, structure, validate, and analyze internal and external data from multiple sources
Transform raw and fragmented data into clear, reliable, and actionable insights for business stakeholders
Ensure insights are presented in a tangible, concise, and audience-appropriate way to support and influence deci-sion-making
Develop, maintain, and evolve analytics assets using R and Python (existing scripts and new developments)
Design and build dashboards, reports, and KPI frameworks covering metrics requested by all departments
Enable and support self-service analytics while ensuring data consistency and quality
Actively contribute to the definition and implementation of the company's Data Warehouse, starting from a non-existent or low-maturity state
Collaborate with IT and business teams to define data models, KPIs, metrics, and data quality rules
Identify trends, patterns, and forecasts using statistical and analytical techniques
Automate data preparation, analysis, and reporting processes where relevant
Document analytics processes, datasets, and assumptions to ensure transparency and reusability
Support management and departments with data-driven analysis and ad-hoc requests
Collaborate closely with the IT Manager and technical teams to align analytics, infrastructure and data strategy.
Technical and Soft Skills
Strong proficiency in R (mandatory) for data analysis, scripting, and automation
Good knowledge of SQL and structured data querying
Knowing Python for analytics, data processing, and automation is an advantage
Experience with BI and data visualization tools (e.g. Power BI, Tableau, Looker or equivalent)
Strong understanding of data modeling, KPIs, metrics definition, and reporting logic
Familiarity with statistical analysis, forecasting techniques, and trend analysis
Ability to design scalable analytics assets aligned with future Data Warehouse architectures
Strong analytical and problem-solving mindset
Ability to communicate complex data insights clearly to non-technical audiences
Comfortable working with ambiguity and evolving requirements
Autonomous, proactive, and results-oriented
Strong sense of ownership and accountability
Ability to manage multiple requests from different departments
Structured, organized, and detail-oriented
Collaborative mindset and ability to work in cross-functional teams
Autres compétences:
Experience in Business Intelligence, Data Analytics, or Analyt-ics Engineering roles
Hands-on experience with R (mandatory) andknowledge with Python for data analysis
Experience designing and maintaining dashboards, reports,and KPI frameworks
Experience working with multiple, heterogeneous data sources
Experience translating business needs into actionable insights Experience contributing to data foundations or analytics plat-form setups (including early-stage Data Warehouse initia-tives)
Experience collaborating with IT and business stakeholders
Αναρτήθηκε 3 εβδομάδα/-ες πριν