Common Concept
You will collaborate with stakeholders in Planning teams, Operations, IT and Data Engineering to develop insights, data models, design and develop metrics reporting. You know and love working with extensive datasets with advanced skills in Excel / R / Python and can partner with business leaders to deep-dive complex business problems.
Key Responsibilities
Plan and execute end-to-end analyses including scoping, designing methodology, collecting, and analyzing data, and presenting key findings and recommendations to business stakeholders
Design, development, and maintenance of new functionalities for Merchandise Planning tools, and managing ongoing performance mechanisms, reports, and dashboards to drive key business decisions with simplification and automation
Own and prioritize project roadmap with key stakeholders
Develop new methodologies and scalable processes to generate insights on a continuous basis
Work cross-functionally with Concept Planning, Operations, IT, Retail and Logistics to understand business complexities, and develop solutions to improve efficiency and productivity, support training, best practices, and shared opportunities
Learn and understand a broad range of LMG’s data resources and know how, when, and which to use
Imagine and develop new ways to present data that adds value and insight
Basic Qualifications
SKILLS AND EXPERIENCE:
Bachelor’s degree in Computer Science, Mathematics, Statistics, or related technical field.
1-2 years of relevant employment experience (in Retail/FMCG), in a business environment with large-scale, complex datasets
1-2 years of experience developing solutions to complex business problems, reporting mechanisms, driving actionable insights and successful completion of 3-4 high business impact projects
1-2years of hands-on experience with R / SQL / Python across multiple platforms
Advanced skills in data visualization and presentation of insights to senior management
Demonstrated ability to manage and prioritize workload
Excellent written and verbal communication skills, including the ability to effectively communicate with both technical and non-technical teams
Preferred Qualifications
MBA/Master’s degree in Supply Chain
Experienced with Demand and/or Supply Planning methodologies/terms and Merchandise Planning systems
Experience in R and/or Python (data extraction, data modelling, manipulation, statistical analysis, and predictive modeling)
Qualifications
The ideal candidate will be detail oriented, analytical, organized, and can work backwards from business problems to deliver both qualitative and quantitative analysis with actionable insights to key stakeholders.
You will collaborate with stakeholders in Planning teams, Operations, IT and Data Engineering to develop insights, data models, design and develop metrics reporting. You know and love working with extensive datasets with advanced skills in Excel / R / Python and can partner with business leaders to deep-dive complex business problems.
Preferred Qualifications
MBA/Master’s degree in Supply Chain
Experienced with Demand and/or Supply Planning methodologies/terms and Merchandise Planning systems
Experience in R and/or Python (data extraction, data modelling, manipulation, statistical analysis, and predictive modeling)
Primary Location: AE-AE-United Arab Emirates
Work location/ موقع العمل: RNA Jafza Office – Dubai RNA Jafza Office – Dubai, , Dubai********
Job: Supply Chain
Organization: Common Concept
Schedule label /الجدول الزمني: Regular
Shift: Standard
Job Type: Full-time
Day Job
Job Posting/نشر تسمية الوظيفة: Jan 31, 2022, 11:18:52 PM
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