Senior Data Analyst (SQL & Python)

This role is for one of Weekdays clients Min Experience: 3+ years JobType: full-time 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. 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 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 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/projectsStrong business and financial acumen - able to connect data insights to P&L or cost outcomesExcellent communication skills for presenting to varied stakeholder groups across projectsExperience with BI tools (Power BI, Tableau, Looker, or similar) SQL | Python | Business Analytics | Supply Chain Analytics | Inventory Analytics | Data Modeling | Dashboarding | Financial Analysis | BI Tools | Adaptability | Business Acumen | Communication | Data Engineering | Cloud Platforms |Statistical Modeling Data Analytics, Tableau, SQL Python, Excel, Power BI .