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Savvital

Supply Chain Forecasting, Data Analyst

Savvital

. Analyze historical sales and order data to identify demand patterns and purchasing behavior .

Posted 9/18/2026full-timeIslamabad • PakistanMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in demand forecasting, inventory planning, and data analysis, utilizing advanced Microsoft Excel skills to build analytical models and provide actionable insights. Proficient in communicating complex findings to non-technical stakeholders and collaborating with supply chain teams to optimize inventory strategies.

Highest-signal resume keywords
Demand ForecastingAdvanced Microsoft ExcelData Cleaning and TransformationTrend AnalysisAnalytical Model Development

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Demand PlanningForecasting ModelsPivotTablesXLOOKUPINDEX-MATCHSUMIFSData AnalysisGrowth-Rate CalculationsLarge Dataset ManagementAnalytical Logic
Soft Skills
Analytical ReasoningProblem-SolvingEffective CommunicationCollaborationIndependence
Tools & Technologies
Microsoft ExcelMicrosoft Dynamics 365 Business CentralPower BIERP Systems
Industry Keywords
Supply Chain AnalyticsInventory OptimizationS&OPWholesale DistributionCustomer-Level Forecasting

Tech Stack

Tools & technologies
ERP

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 3+ years of experience in supply chain analytics, demand planning, forecasting, inventory planning, operations analytics, or a closely related analytical field
  • Hands-on experience with demand forecasting and/or supply planning
  • Advanced proficiency in Microsoft Excel
  • Experience with PivotTables
  • Experience with XLOOKUP / INDEX-MATCH
  • Experience with SUMIFS and advanced Excel formulas
  • Experience with data cleaning and transformation
  • Experience with trend analysis
  • Experience with growth-rate calculations
  • Experience with forecasting models
  • Experience working with large datasets
  • Experience extracting, cleaning, and analyzing data from ERP systems
  • Ability to build analytical models from raw transactional data
  • Strong understanding of SKU-level demand and inventory concepts
  • Strong analytical reasoning and problem-solving skills
  • Ability to work independently with incomplete, inconsistent, or imperfect data
  • Strong written and spoken English
  • Ability to communicate analytical findings clearly to non-technical stakeholders
  • Preferred experience with Microsoft Dynamics 365 Business Central, Power BI, inventory optimization, demand planning, supply planning, S&OP, manufacturing, wholesale or distribution, industrial supply chains, customer-level forecasting, inventory replenishment models, exception and anomaly reporting, and customer-facing inventory or demand reporting
  • Experience working with ERP-generated sales-order data and building forecasting or inventory models from transactional data is particularly valuable

Benefits

Comp & perks
  • Premium Internet allowance
  • Electricity allowance
  • Wellbeing allowance
  • Comprehensive health coverage
  • Annual performance-based increments
  • Structured career progression
  • Individual performance-based bonuses
  • Team-based target bonuses