Sales Forecasting Analyst

The Sales Forecasting Analyst plays a key role in driving business performance across Trove Brands’ international accounts through accurate forecasting, data analysis, and actionable insights. This role analyzes sales trends, point-of-sale data, and market dynamics to improve forecast accuracy and support strategic decision-making. Working cross-functionally with Sales, Supply Chain, and Finance, the Sales Forecasting Analyst helps align demand forecasts with broader business and operational plans. This role is ideal for a proactive, analytical problem-solver who thrives in a fast-paced, collaborative environment.

Key Responsibilities

Develop and maintain accurate sales forecasts using historical sales, point-of-sale trends, market dynamics, and retailer performance data.

Analyze performance across products, retailers, and international accounts, translating findings into actionable business insights and recommendations.

Monitor forecast accuracy, identify drivers of forecast variance, and recommend adjustments to improve future performance.

Support promotional, seasonal, and new product launch planning by anticipating changes in demand and sales volume.

Partner cross-functionally with Sales, Supply Chain, and Finance to align sales forecasts with demand, inventory, and production planning.

Leverage data visualization, AI tools, and automation workflows to improve analytical efficiency, reporting, and business insights.

Support Sales representatives in building collaborative relationships with external retail merchant teams while monitoring relevant industry and market trends.

Required Qualifications

Bachelor’s degree in Business, Data Science/Analytics, Economics, Statistics, or a related field.

3+ years of experience in a retail business analyst, sales forecasting, or similar analytical role.

Advanced proficiency in Excel, including lookups, PivotTables, conditional functions, and data analysis.

Strong analytical and problem-solving skills with demonstrated ability to translate complex data into clear, actionable insights.

Experience with data visualization and reporting tools.

Strong organizational skills with the ability to manage multiple priorities in a fast-paced environment.

Excellent written and verbal communication skills with a collaborative, customer-focused approach.

Desired Qualifications

Experience supporting international retail accounts or working within international sales environments.

Knowledge of retail industry best practices and retailer forecasting processes.

Experience with Omni or similar retail analytics platforms.

Experience with Python and/or SQL.

Proficiency in PowerPoint and presenting data-driven insights to stakeholders.

Experience leveraging AI tools, LLMs, or automation workflows to improve forecasting, analysis, or reporting.