Operations Analyst at ENGIE

Responsibilities: 

• Create dashboards to monitor the health of operations for the supply chain in EEA (including the 9 markets) by implementing a scorecard model that provides for regular updates through integration of scattered and siloed data sets from various existing platforms into a focal point for data-based decision making. 
• Implement end-to-end personalized visibility for critical inventory data to ensure interconnectedness of supply chain data for key business metrics and events across the supply chain. 
• Capture and provide (close to) real-time data from across the EEA supply chain ecosystem to provide enhanced visibility in a Control Tower for inventory including stock in shops & warehouses, Goods-in-transit (GiT), supply-side stock on hold, open PO in suppliers, liable material in suppliers - examine data closely to figure out root causes and propose solutions and focus areas for continuous improvement in operations. 
• Provide custodianship for all data needs within supply chain and Africa Operations by identifying & prioritizing key business objectives, detecting, developing, and implementing response strategies through data, including the full implementation of periodic reporting cycles of such key metrics (including Finance - Operations metrics). 
• Work closely with business data partners in the data warehouse, and other departmental / country-based data analysts to strengthen data insights for supply chain operations and increase cohesiveness in the general data management community. 
• Implement an automated data-driven management strategy and culture that reduces dependency on people to provide information for key metrics that facilitate operations decision making. 
• Work closely with country operations heads to Identify critical policies in supply chain to support full implementation through data analytics and maintenance of data integrity. 
• Identify operational issues that require further research using data to ensure appropriate measures are implemented to close those identified gaps - conduct research on identified operational constraints and develop various problem-solving modeling strategies to solve the identified gaps. 
• Suggest key improvements in EEAs supply chain operations to ensure in-full implementation of recommendations while working closely with internal stakeholders to further manage supply chain shocks and variabilities through data insights. 
• Provide ad hoc training and support to key stakeholders on critical data management skills to facilitate upskilling within the operations team especially country data teams. 
• Support key projects in operations and supply chain with all data needs including inventory management, warranty, supply chain optimization among others. 

Knowledge and skills: 

Experience: 

• Minimum 5 years of experience in statistics, data science, data management, operations research, and related data analytics roles. 
• Strong immersion into operations / supply chain activities of a business with proven interaction and experience of such data fields is a considerable advantage. 
• Ability to utilize big data to develop and maintain critical business dashboards to facilitate key decision-making using data. 
• Ability to work with multiple data sources and tools for data storage to ensure synthesized data is sensible. 
• Technical knowledge of operations / supply chain processes needed to extract critical KPIs and metrics for measurement. 
• Project management experience is important to manage short-term and long-term data needs to support critical research projects and programs within operations. 
• Able to travel on need basis to support countries to implement necessary data integrity strategies to facilitate regular monitoring of core operations KPIs. 

Qualifications: 

• A bachelor’s degree statistics, operations research, data science or data analysis or related field. 
• Professional certifications in data science and analysis such as SAS, data camp, MATLAB, data cleaning is important. 
• Project Management certifications and skills are an important advantage. 
• Ability to leverage math and analytical thinking especially with big data to identify gaps / problems and propose solutions. 
• Excellent communication and presentation skills to facilitate frequent interaction and collaboration with colleagues to understand findings and execute solutions. 

Language(s):  

• English is needed. 
• French is an added advantage (for West Africa)