Jobs/Sr. Data Analyst (Nagpur)

Sr. Data Analyst (Nagpur)

Weekday AI

Full–timeData Analyst
Nagpur, Maharashtra, IN
Not disclosed
2 days ago(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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