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Savvital
Savvital
51 – 200 Darbuotojai
DraudimasNekilnojamasis turtasStatyba
„Savvital“ teikia pritaikytas verslo paslaugas mažoms ir vidutinėms įmonėms, veikiančioms tarptautinėse rinkose. Jos veikla apima statybą, nekilnojamąjį turtą, draudimą, hipotekos paslaugas ir bendrą verslo pagalbą, daugiausia dėmesio skiriant praktiškam darbų delegavimui ir ekonomiškiems sprendimams. Derindama specializuotas paslaugas su į žmogų orientuotu požiūriu, „Savvital“ padeda klientams valdyti veiklos poreikius ir siekti augimo.
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Darbai įmonėje

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.

PEPeruNuotolinisVisas etatasVidutinis lygisVyresnysis specialistasPrivaloma Kalba: anglųDuomenų analitikas
ERP

Aprašymas

  • 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

Reikalavimai

  • 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

Privalumai

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

Susiję darbai

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