Senior Data Analyst (Business Intelligence)

About the Role

We are seeking a Senior Data Analyst with strong SQL, Python, and business analytics skills to work across diverse business domains including supply chain, education, and energy management. This role demands a professional who can quickly grasp new business contexts, apply rigorous analytical thinking, and translate data insights into tangible financial and operational impact.

Key Responsibilities

• Solve advanced SQL problem statements to extract, transform, and analyze large, complex datasets across varied domains
• Build models and dashboards supporting decision-making in supply chain, education, and/or energy management projects
• Analyze the financial impact of inventory decisions including holding costs, stockout costs, working capital, and cost-benefit of allocation/MOQ strategies
• Calculate and refine Minimum Order Quantities (MOQ) based on demand, lead times, and cost trade-offs
• Design inventory allocation strategies balancing service levels, cost, and financial efficiency
• Analyze new customer acquisition trends, funnel performance, and growth metrics
• Translate business problems into structured analytical frameworks and present findings with clear financial/business implications to leadership
• Partner with cross-functional and cross-project teams, adapting analytical approach to each domain's context
• Write efficient Python scripts for automation, data pipelines, and analysis

Qualifications

• 3-5 years of experience in data analytics; supply chain/inventory analytics background preferred
• Advanced SQL proficiency (complex joins, window functions, CTEs, query optimization)
• Strong Python skills for data analysis (Pandas, NumPy)
• Experience translating operational data (e.g., inventory, resource usage) into financial impact analysis (cost, ROI, working capital, efficiency metrics)
• High adaptability - proven ability to work across different business domains/projects
• Strong business and financial acumen - able to connect data insights to P&L or cost outcomes
• Excellent communication skills for presenting to varied stakeholder groups across projects
• Experience with BI tools (Power BI, Tableau, Looker, or similar)