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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data collection, analysis, and visualization, with a strong ability to communicate insights effectively to non-technical stakeholders. Proficient in leveraging data-driven recommendations to enhance decision-making processes within the materials demand and supply chain analysis.
Highest-signal resume keywords
Master's DegreeData AnalysisData VisualizationTableauArcGIS
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data CollectionData CleaningData ModellingTrend AnalysisExploratory Data Analysis
Soft Skills
CollaborationCommunicationFlexibilityProactive Problem Solving
Tools & Technologies
TableauArcGIS
Industry Keywords
Materials Demand AnalysisSupply Chain AnalysisStrategic Technologies
Tech Stack
Tools & technologiesTableau
About the role
Key responsibilities & impact- Collect and clean data from various sources
- Analyse datasets to identify trends and patterns
- Collaborate with stakeholders to understand data needs
- Conduct exploratory data analysis to uncover insights
- Recommend improvements based on data insights
- Present data-driven insights and create actionable, decision-oriented recommendations tailored for non-technical audiences and stakeholders
Requirements
What you’ll need- Master Degree + minimum 5 years of relevant professional experience
- Knowledge and expertise on identification, collection, analysis, consolidation and modelling of data relevant to the materials demand and supply chain analysis for strategic technologies
- Experience with data visualization and data mapping tools such as Tableau and ArcGIS
- Ability to synthesize the result of large dataset analysis into communication and dissemination products such as reports, briefs and/or factsheets
- Ability to analyse datasets, detect trends, and deliver evidence-based insights
- Ability to resolve data issues and propose actionable improvements
- Drive to explore new methods, tools, and data sources proactively
- Flexibility to adopt new data platforms, tools, and approaches
- Ability to understand, speak and write English