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Savvital
Savvital
51 – 200 Employees
ConstructionInsuranceReal Estate
Savvital provides tailored business services to small and medium-sized companies operating in international markets. Its work spans construction, real estate, insurance, mortgage services, and general business support, with an emphasis on practical delegation and cost-conscious solutions. By combining specialized services with a human-centered approach, Savvital helps clients manage operational needs and pursue growth.
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Supply Chain Forecasting Data Analyst

Turn ERP sales data into demand forecasts and inventory recommendations for Savvital’s customized services to international small and midsize businesses.

GTGuatemalaRemoteFull-timeMiddleSeniorEnglish RequiredData Analyst
ERP

Description

  • Find demand patterns and purchasing behavior in historical sales and order data.
  • Forecast demand by SKU and customer.
  • Create rolling 12–18-month forecasts from historical purchasing trends.
  • Compare demand and growth year over year.
  • Annualize year-to-date usage when appropriate.
  • Classify demand as steady, seasonal, sporadic, declining, or growing.
  • Account for units of measure, product categories, and customer purchasing differences.
  • Flag unusual demand shifts, including spikes, drops, and products with no usage.
  • Build scalable forecasting and inventory analysis models in Microsoft Excel.
  • Create Excel formulas, calculations, PivotTables, lookups, and analytical logic for forecasting.
  • Set up recommendations to validate, maintain, or reduce stock levels.
  • Produce exception reports and alerts for products needing review.
  • Test forecasting methods on representative datasets before wider use.
  • Record formulas, assumptions, calculations, and methods.
  • Extract, organize, clean, and validate large datasets from ERP and other business systems.
  • Find inconsistencies, missing information, duplicates, and other data-quality problems.
  • Assess how data issues affect forecasts and analytical results.
  • Set up data-cleaning and validation processes.
  • Share data-quality concerns with relevant stakeholders.
  • Use demand trends to inform inventory and stocking decisions.
  • Identify SKUs that need higher or lower stock levels.
  • Assess how customer purchasing behavior affects inventory needs.
  • Inform inventory planning and replenishment with data analysis.
  • Recommend ways to balance product availability and inventory efficiency.
  • Report historical usage, demand trends, forecasts, and recommendations clearly.
  • Turn complex analysis into practical commercial recommendations.
  • Present findings to non-technical stakeholders.
  • Call out key trends, exceptions, risks, and opportunities.
  • Contribute to customer-facing inventory and demand reports.
  • Work independently and collaborate with business and supply chain stakeholders.
  • Own analytical projects from raw data through final recommendations.
  • Clarify ambiguous requirements or datasets.
  • Explain analytical methods and reasoning clearly.
  • Adjust forecasting methods as business needs or data patterns change.
  • Communicate progress, challenges, and findings effectively.

Requirements

  • Bring at least 3 years of experience in supply chain analytics, demand planning, forecasting, inventory planning, operations analytics, or a closely related analytical field.
  • Have practical experience with demand forecasting and/or supply planning.
  • Demonstrate advanced Microsoft Excel skills.
  • Have strong PivotTable skills.
  • Use XLOOKUP or INDEX-MATCH confidently.
  • Be proficient with SUMIFS and advanced Excel formulas.
  • Have experience cleaning and transforming data.
  • Have experience analyzing trends.
  • Have experience calculating growth rates.
  • Have experience building forecasting models.
  • Have experience working with large datasets.
  • Have experience extracting, cleaning, and analyzing ERP data.
  • Be able to build analytical models from raw transaction data, beyond maintaining existing reports.
  • Understand SKU-level demand and inventory concepts well.
  • Apply strong analytical reasoning and problem-solving skills.
  • Work independently with incomplete, inconsistent, or imperfect data.
  • Communicate effectively in written and spoken English.
  • Explain analytical findings clearly to non-technical stakeholders.

Benefits

  • Premium internet allowance
  • Electricity allowance
  • Wellbeing allowance
  • Annual performance-based pay increases
  • Structured career progression
  • Individual performance-based bonuses
  • Team target bonuses

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