Staff Data Analyst

• →Lead end-to-end analysis of complex supply chain and inventory management problems.
• →Develop analytical frameworks and decision models to improve forecasting accuracy, replenishment efficiency, and inventory optimization.
• →Partner with Product, Engineering, Supply Chain, and Business stakeholders to identify improvement opportunities and define success metrics.
• →Build scalable dashboards, KPIs, and automated reporting solutions to support business visibility and decision-making.
• →Design and execute simulations and scenario analyses to evaluate operational strategies and business trade-offs.
• →Utilize SQL, Python, R, and visualization tools to extract, analyze, and structure large datasets.
• →Drive root-cause analysis and generate actionable recommendations for senior leadership.
• →Mentor analysts and contribute to elevating analytical standards across the organization.

• Problem Solver at Heart: Passionately approaches complex or undefined problems with curiosity, analytical thinking, and a drive to find novel solutions.
• End-to-End Ownership: Proven track record of independently taking projects from initial concept through execution and delivery with minimal supervision.
• Domain & Field Experience: 8+ years of experience leveraging data to drive strategic decisions in Data Analytics, Business Analytics, Supply Chain Analytics, or a related field.
• Education: Bachelor's degree in Statistics, Mathematics, Economics, Engineering, Computer Science, Operations Research, or a related quantitative discipline.
• Advanced SQL & Data Wrangling: Deep expertise in SQL with extensive experience querying, manipulating, and extracting insights from large-scale enterprise datasets.
• Statistical Programming: Proficiency in Python and/or R for data manipulation, exploratory analysis, and statistical modeling.
• Executive Visualization & Reporting: Mastery of business intelligence and visualization tools (e.g., Tableau, Power BI) to translate complex data into clear, intuitive dashboards and executive-ready reporting.
• Stakeholder Influence & Communication: Outstanding ability to translate technical findings into actionable business insights and influence senior stakeholders across functions, backed by professional business-level English communication skills.

• Domain Expertise: Specialized background in eCommerce, Retail, Supply Chain, Inventory Management, Logistics, or Operations Research.
• Advanced Modeling & Optimization: Hands-on experience developing optimization models, forecasting frameworks, or simulation-based analyses to solve operational bottlenecks.
• Machine Learning & Experimentation: Familiarity with predictive analytics, machine learning algorithms, and experimentation methodologies (A/B testing, causal inference).
• Leadership & Mentorship: Demonstrated ability to lead large-scale analytical initiatives and mentor junior and mid-level analysts.
• Global Collaboration: Proven success working collaboratively with cross-functional, globally distributed teams.
• Advanced Degree: Master's degree or PhD in a quantitative or engineering discipline.
  
  

• Hybrid 
  
  

Details to consider 

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