Jobs/Sr. Data Analyst (Nagpur)

Sr. Data Analyst (Nagpur)

Weekday AI

Full–timeData Analyst
Nagpur, Maharashtra, IN
Not disclosed
Aug 21, 2026(August 21, 2026)

Job description

Description This role is for one of Weekdays clients Min Experience: 3+ years Location: Nagpur JobType: full-time We are seeking a Senior Data Analyst with robust 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. Requirements 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 .

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