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.
RequirementsKey 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.
Data Analytics, Tableau, SQL
Good-to-have skillsPython, Excel, Power BI
Skills Required
- 3-5 years of experience in data analytics
- Advanced SQL proficiency (complex joins, window functions, CTEs, query optimization)
- Strong Python skills for data analysis (Pandas, NumPy)
- Experience translating operational data into financial impact analysis (cost, ROI, working capital)
- Experience with BI tools (Tableau, Power BI, Looker, or similar)
- Supply chain/inventory analytics background (MOQ, allocation, inventory cost analysis)
- Excellent communication skills for presenting to varied stakeholders
- Experience building models and dashboards to support decision-making
- Data modeling and statistical modeling experience
- High adaptability to work across different business domains and projects
- Experience or familiarity with Data Engineering practices
- Experience with Cloud Platforms
What We Do
Weekday is an AI-powered recruitment platform that helps startups hire top-tier engineering and product talent. By leveraging a massive database of white-collar professionals and advanced outreach tools, the company streamlines the hiring process through automated sourcing, AI-driven resume screening, and white-glove contingency services. Their mission is to modernize recruitment by enabling companies to discover and engage passive candidates efficiently, ensuring high-quality hires for critical roles.
