Sales Analyst

Job Description

Job Summary:

Assist Sales Managers from the Chains division entering their promotional plans into the AFS system.

Monitor, report, and analyze trade promotion budget and performance.

Review monthly forecast for with Sales Managers and identify differences with TradePro to ensure consistency in the numbers.

Post-promotional analysis.

Provide detailed information on the roll-up of all account activity to assist in the demand planning process.

Proactively identify potential problem areas with regard to trade promotion spending and work with the Sales Managers to make proper adjustments.

Create strategic presentations for customer reviews to maximize the impact in increasing sales and distribution.

Gathers, analyzes, and compares competitor data and pricing.

Maintains market intelligence database and uses computer to examine, analyze, and compile statistical data.

Prepares reports such as distribution, pricing, sales results by market using the different platforms we have available such as Cognos, VIP, IRI, etc.

Sales Information – It may include standardize to proper format the information received from customers and imports / exports data to upload into Cognos.

Other duties as assigned.

Bachelor’s Degree in Business and/or Marketing

Qualifications:

Bachelor’s Degree in Business and/or Marketing

Pivot tables, nested formulas (XLOOKUP/VLOOKUP, IF statements), data validation

Ability to work with large data sets and reconcile multiple data sources

Build executive-ready and customer-facing presentations

Translate complex data into clear, concise, and visually compelling stories

Comfortable creating decks independently for sales leadership and customer reviews

Ability to identify trends, gaps, and risks within trade promotion spending

Diagnose inconsistencies across forecasts, TradePro, and demand planning data

Recommend actionable solutions, not just report findings

Proactively anticipates issues before they impact budget or execution

Applies logic, structure, and business judgment to ambiguous situations

Comfortable challenging assumptions using data