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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 international small-business services. The role combines supply chain analysis with customer and SKU-level forecasting.

PEPeruRemoteFull-timeMiddleSeniorEnglish RequiredData Analyst
ERP

Description

  • Study sales and order history to uncover demand patterns and buying behavior
  • Forecast demand by SKU and customer
  • Create rolling forecasts spanning 12 to 18 months
  • Track year-over-year demand and growth
  • Annualize year-to-date usage when appropriate
  • Classify demand as steady, seasonal, intermittent, declining, or growing
  • Consider units of measure, product categories, and customer purchasing behavior
  • Flag unusual demand changes, such as spikes, drops, and products with no usage
  • Build scalable forecasting and inventory analysis models in Microsoft Excel
  • Create formulas, calculations, PivotTables, lookups, and analytical logic
  • Develop rules to guide stocking recommendations
  • Create exception reports and alerts
  • Evaluate forecasting methods using representative datasets
  • 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
  • Set up processes for cleaning and validating data
  • Use demand trends to guide inventory and stocking decisions
  • Contribute to inventory planning and replenishment decisions
  • Prepare reports on historical usage, demand trends, forecasts, and recommendations
  • Turn complex analysis into practical commercial recommendations
  • Help produce inventory and demand reports for customers
  • Work independently while partnering with business and supply chain stakeholders
  • Lead analytical projects from raw data through recommendations
  • Clearly communicate analytical methods, progress, challenges, and findings
  • Adjust forecasting methods as business needs or data patterns change

Requirements

  • At least three years of experience in supply chain analytics, demand planning, forecasting, inventory planning, operations analytics, or a closely related analytical role
  • Practical experience in demand forecasting and/or supply planning
  • Advanced Microsoft Excel skills
  • Experience using PivotTables
  • Experience with XLOOKUP or INDEX-MATCH
  • Experience using SUMIFS and advanced Excel formulas
  • Experience cleaning and transforming data
  • Experience analyzing trends
  • Experience calculating growth rates
  • Experience building forecasting models
  • Experience working with large datasets
  • Experience extracting, cleaning, and analyzing ERP data
  • Ability to build analytical models from raw transaction data
  • Strong grasp of SKU-level demand and inventory concepts
  • Strong analytical judgment and problem-solving skills
  • Ability to work independently with incomplete, inconsistent, or imperfect data
  • Strong spoken and written English
  • Ability to explain analytical findings clearly to non-technical colleagues
  • 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, replenishment models, exception and anomaly reporting, or customer-facing inventory and demand reports is preferred

Benefits

  • Internet stipend
  • Electricity stipend
  • Wellbeing stipend
  • Annual increases based on performance
  • Structured career development
  • Individual performance bonuses
  • Team target bonuses

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