Mission and Context
Etex Group with headquarters in Brussels is a leading industrial group, specialized in production and marketing of high-quality building materials and solutions. As international top player, Etex is active in 42 countries in which they can count on the loyalty of more than 12.500 employees.
The data scientist will be part of the business process owner organization responsible to build, optimize and streamline processes in Etex to maximise the business and customer value they deliver.
We have an ambition in Etex to increase the maturity in data analytics and data science, automation, AI and we are looking for a data scientist to drive the roadmap and take responsibility for advanced data analytics and data science to enable the business to make data-driven decisions and predictions.
Part of BPO organization reporting to the Head of Enterprise capability center.
Roles and responsibilities for data science:
The data scientist will together with IT and the BPO organisation design the roadmap for data science capabilities within Etex, building reports and statistical & predictive models and start preparing Etex to enable future AI and machine learning capabilities.
Harness the power of data science, machine learning and business analytics by implementing cases to predict and forecast allowing data-driven decision making.
The data scientist will collaborate with BPO’s and BPM’s ensuring end-to-end coherence in data modelling and data structure combining structured and unstructured internal and external data and reliability in data analysis.
The data scientist will collaborate with BPO’s and BPM’s to aanalyze data sets and bring deep analytics insight that add value to our business.
The data scientist communicates and collaborates amongst the stakeholders and peers (IT, business areas, experts, …) related to the processes within their scope.
Responsible to enable the right data analytics, KPI’s and visualization in dashboards and reports to measure success and improvement and allow data-driven decision making and monitor and assess process adherence and improvement.
Responsible to provide solution for data analysis, related to:
Identify correlation gap, visualization and figures across the processes supported by the BPO organization.
Participate to the continuous improvement cycle of the systems/processes supported.
Technology: automation & governance of data tools together with IT and looking to external best practices and daring to innovate.
Provide training to business process owner organization.
Together with the BPO analyze data sets and build data analysis solution.
The role will be part of BPO Organization reporting to the head of enterprise capability center.
Previous experience in global organization
Min 3 years of experience in a similar role
English: C1 level or higher
Another EU language: B2 or higher
Strong communication skills and ability to present information in a clear and concise manner to a variety of stakeholders
Demonstrated ability to work across all areas in an organization and manage various functions and resources
Ability to drive change and improve
Curious on technologies and innovation and daring to take risks
Functional Knowledge and Skills
Strong analytical skills are a must with a focus on statistical analysis
Knowledge in at least one and ideally several of the main data analytic solution: Tableau, Qlik view or Power Bi
IT savvy and SAP BI knowledge is a plus
Good business process and data skills
Mastering database relationship management system
Proficient with Microsoft Office Products
Excellent organization planning skills
Ability to quickly adapt to change in direction and/or approach
Ability to communicate about complex topics in a simple, easy-to-understand way
We need a data science profile with skills in this data science area: for internal candidate this can mean people with a mathematical or statistical background that want to learn data science skills and become specialized in this area: Azure technology (data lake, data bricks, azure data factory) is a must so the internal candidates should be willing to learn this data science technologies. Knowledge of statistical modelling, predictive modeling techniques, pattern recognition, and programming skills in R and Python.
TRAINING will be provided: external training on data science and collaborate with consultants to learn on the job when we do pilots.
Have a master degree and/or relevant experiences in data analytics
Geographic Context and Travel Requirements
Up to 10%
Mission and Context ● Collects, analyzes and reports management data to support decisions on day-to-day operations, strategic planning and specific business performance issues● Collates, models, interprets and analyzes data; explains variances and trends● Identifies and documents enhancements to modeling techniques Reporting line Roles and Responsibilities Required Experience Language Skills Etex Values and Competencies Connect and CarePassion for ExcellencePioneer to Lead Functional Knowledge and Skills Required Education Required Certificates Attendance to Meeting - Networks Work Location Geographical Context and Travel Requirements Additional Requirements