Supply Chain Forecasting, Data Analyst

🔥 0 minutes ago

🇬🇹 Guatemala – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Savvital

WebsiteLinkedInAll Job Openings

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 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 differences in units of measure, product categories, and customer purchasing behavior • Identify unusual changes in demand, 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 to support forecasting • Create recommendation logic for stocking validation, maintaining stocking, and reduction evaluation • Build exception reporting and alerts for products requiring additional review • Test forecasting methodologies on representative datasets before broader implementation • 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 • Determine how data issues may impact forecasting and analytical results • Establish data-cleaning and validation processes • Communicate data-quality concerns to relevant stakeholders • Analyze demand trends to support inventory and stocking decisions • Identify SKUs requiring increased or reduced stocking levels • Evaluate customer purchasing behavior and its impact on inventory requirements • Support inventory planning and replenishment decisions through data-driven analysis • Develop insights balancing product availability with inventory efficiency • 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 key trends, exceptions, risks, and opportunities • Support customer-facing inventory and demand reports • Work independently while collaborating with business and supply chain stakeholders • Take ownership of analytical projects from raw data through final recommendations • Clarify unclear requirements or datasets • Explain analytical approach and reasoning clearly • Adapt forecasting methodology when business requirements or data patterns change • Communicate progress, challenges, and findings effectively

🎯 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 • Strong experience with PivotTables • Strong experience with XLOOKUP / INDEX-MATCH • Strong 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 rather than simply maintaining existing reports • 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

🏖️ Benefits

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