Supply Chain Forecasting & Data Analyst

ABOUT THE COMPANY

Savvital is a forward-thinking organization that provides diversified services to small and medium-sized businesses in the international market, enabling them to build their future while benefiting from our customized solutions. Our team of educated experts are motivated individuals excited to handle tasks that add real capacity to a client's workday.

Our mission is to provide affordable solutions to growing companies through strategic task delegation. We envision creating an ecosystem that resonates with the human touch every business needs.

ABOUT THE ROLE

• Analyze historical sales and order data to identify demand patterns and purchasing behavior.
• Develop SKU-level and customer-level demand forecasts.
• Build rolling 12 to 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 .
• Use advanced Excel functionality to transform raw transactional data into meaningful insights.
• Develop formulas, calculations, PivotTables, lookups, and analytical logic to support forecasting.
• Create recommendation logic that can identify opportunities such as:
• Validate with Customer
• Increase Stocking
• Maintain Current Stocking
• Evaluate for Reduction
• Build exception reporting and alerts for products requiring additional review.
• Test forecasting methodologies on representative datasets before scaling them more broadly.
• Document formulas, assumptions, calculations, and methodology so models can be reviewed and maintained.
• Extract, organize, clean, and validate large datasets from ERP and other business systems.
• Work with raw transactional data and identify inconsistencies, missing information, duplicates, and data-quality issues.
• Determine how data issues may impact forecasting and analytical results.
• Establish appropriate data-cleaning and validation processes.
• Communicate data-quality concerns clearly to relevant stakeholders.
• Analyze demand trends to support inventory and stocking decisions.
• Identify SKUs that may require increased or reduced stocking levels.
• Evaluate customer purchasing behavior and its potential impact on inventory requirements.
• Identify products with declining, inconsistent, or unusual demand.
• Support inventory planning and replenishment decisions through data-driven analysis.
• Develop insights that help balance product availability with inventory efficiency.
• Create clear and easy-to-understand reports showing historical usage, demand trends, forecasts, and recommendations.
• Translate complex analysis into practical commercial recommendations.
• Present findings in a way that can be understood by non-technical stakeholders.
• Highlight key trends, exceptions, risks, and opportunities rather than simply presenting raw numbers.
• Support the development of 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.
• Ask the right questions when requirements or datasets are unclear.
• Explain your analytical approach and reasoning clearly.
• Adapt forecasting methodology when business requirements or data patterns change.
• Communicate progress, challenges, and findings effectively.

We are looking for a highly analytical Supply Chain Forecasting & Data Analyst to support a growing supply chain and distribution operation.

This is a hands-on analytical role focused on turning historical sales and order data into demand forecasts, inventory insights, and actionable business recommendations .

You’ll work with large transactional datasets and be responsible for cleaning and validating data, identifying demand patterns, building forecasting models, analyzing SKU and customer behavior, and translating your findings into recommendations that business stakeholders can understand and act on.

This is not a data-entry or basic reporting role .

We’re looking for someone who can take raw, imperfect data, figure out what it is telling us, determine the right analytical approach, and build a reliable model from the ground up.

WHAT YOU’LL BE DOING

Demand Forecasting & Analysis

Excel Modeling

Data Management & Quality

Inventory & Supply Chain Insights

Reporting & Business Insights

Collaboration & Ownership