Supply Chain Forecasting, Data Analyst

🔥 3 minutes ago

🇵🇪 Peru – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 11%

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Logo of Savvital

Savvital

51 - 200 employees

🏗️ Construction

🏠 Real Estate

🛡️ Insurance

Construction • Real Estate • Insurance

Savvital is a forward-thinking organization that provides diversified services to small and medium-sized businesses in the international market. The company specializes in real estate, mortgage, general business, insurance, and construction, enabling clients to build their future through customized solutions. Savvital's mission is to offer affordable options through strategic task delegation, helping companies grow while emphasizing a human touch in their operations.

📋 Description

• 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 • 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 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 • Establish data-cleaning and validation processes • Analyze demand trends to support inventory and stocking decisions • Support inventory planning and replenishment decisions • Create reports showing historical usage, demand trends, forecasts, and recommendations • Translate complex analysis into practical commercial recommendations • Support customer-facing inventory and demand reports • Work independently while collaborating with business and supply chain stakeholders • Own analytical projects from raw data through final recommendations • Communicate analytical approaches, progress, challenges, and findings effectively • Adapt forecasting methodology as business requirements or data patterns change

🎯 Requirements

• 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

🏖️ Benefits

• Premium Internet allowance • Electricity allowance • Wellbeing allowance • Annual performance-based increments • Structured career progression • Individual performance bonuses • Team-based target bonuses

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