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Sr. Data Analyst

Job Description - Sr. Data Analyst

Description

This role is for one of Weekday’s clients

Min Experience: 3+ years
Location: Nagpur
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.



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 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)

 

Required Skills

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

 

Benefits & Perks

  • Direct ownership and close collaboration with the founder.

Must-have skills

Data Analytics, Tableau, SQL

Good-to-have skills

Python, Excel, Power BI

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