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Data Analyst
World KinectData Analyst leveraging data, analytics, and technology to optimize performance at World Fuel. Collaborating with pricing, sales, and supply teams for decision-making and insights.
Tech Stack
Tools & technologiesETLPythonSQLTableau
About the role
Key responsibilities & impact- Build and maintain automated data pipelines, tools, and models to support revenue and pricing decisions
- Design and enhance pricing and revenue optimization algorithms
- Analyze large datasets to identify margin and revenue improvement opportunities
- Develop dashboards and reports using tools such as Tableau or Power BI
- Perform ad‑hoc analyses and identify opportunities to automate recurring requests
- Validate and reconcile data across multiple systems to ensure accuracy
- Translate analytical results into actionable insights for business partners
- Support integration of acquisitions into revenue and pricing workflows
- Partner with stakeholders to understand business processes and improve performance through analytics and automation
Requirements
What you’ll need- Bachelor’s or Master’s degree in Computer Science, Management Information Systems, Economics, Engineering, Operations Research, Mathematics, Applied Mathematics, or a related quantitative field.
- Minimum 2 years of relevant professional experience in analytics, data analysis, or a related quantitative role.
- Strong experience working with large datasets and applied analytics
- Proficiency in SQL and Python
- Experience with ETL tools such as Alteryx
- Experience building dashboards and visualizations (Tableau, Power BI)
- Comfort implementing analytical and mathematical models
Benefits
Comp & perks- Opportunity to collaborate in a diverse work environment
- Support for professional growth and development
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data AnalysisAutomated Data PipelinesPricing Optimization AlgorithmsAnalytical ModelsLarge DatasetsAd-Hoc AnalysisMargin ImprovementRevenue ImprovementData ValidationData Reconciliation
Soft Skills
Stakeholder CollaborationActionable Insights Communication