Data Analyst

• Analyze historical sales and order data to identify demand patterns and purchasing behavior
• Develop SKU-level and customer-level demand forecasts
• Build rolling 12–18-month demand forecasts using historical purchasing trends
• Analyze year-over-year demand and growth patterns
• Annualize year-to-date usage where appropriate
• Identify consistent, seasonal, sporadic, declining, and growing demand patterns
• Account for units of measure, product categories, and customer purchasing behavior
• Identify unusual demand changes, including spikes, drops, and zero-usage products
• Build scalable forecasting and inventory analysis models in Microsoft Excel
• Develop formulas, calculations, PivotTables, lookups, and analytical logic
• Create recommendation logic for stocking and customer validation decisions
• Build exception reporting and alerts
• Test forecasting methodologies on representative datasets
• Document formulas, assumptions, calculations, and methodology
• Extract, organize, clean, and validate large datasets from ERP and other business systems
• Identify inconsistencies, missing information, duplicates, and data-quality issues
• Assess how data issues affect forecasting and analytical results
• Establish data-cleaning and validation processes
• Analyze demand trends to support inventory and stocking decisions
• Support inventory planning and replenishment decisions
• Create clear reports showing historical usage, demand trends, forecasts, and recommendations
• Translate complex analysis into practical commercial recommendations
• Present findings to non-technical stakeholders
• Highlight trends, exceptions, risks, and opportunities
• Support customer-facing inventory and demand reports
• Own analytical projects from raw data through final recommendations
• Collaborate with business and supply chain stakeholders
• Communicate progress, challenges, and findings effectively

Data Analyst jobs in Pakistan

Supply Chain Forecasting, Data Analyst