Consumer and Retail Data Analyst

Role Overview

Soules Foods is seeking a curious, analytical, and business-minded Consumer & Retail Data Analyst to turn complex retail and consumer data into actionable insights that drive business growth.

What You Will Do

The analyst will leverage retailer-specific data platforms, analyze retailer sales performance, shopper behavior, category trends, and competitive dynamics to identify opportunities and risks.

Why It Might Be a Fit

The ideal candidate is more than a skilled data analyst. We are looking for someone who can connect the dots, uncover the story behind the numbers, and translate complex information into clear, compelling visualizations and recommendations that influence business decisions.

Requirements

• Bachelor’s degree in Business Analytics, Marketing, Statistics, Economics, Data Science, or a related field.
• 3–8 years of experience in retail/sales analytics, consumer insights, category management, or a related analytical role.
• Hands-on experience analyzing syndicated retail data using Circana (formerly IRI), NielsenIQ, or comparable platforms.
• Strong analytical skills with the ability to interpret complex data, identify meaningful patterns, and translate findings into business recommendations.
• Advanced proficiency in Microsoft Excel, including pivot tables, complex formulas, and data manipulation.
• Experience developing dashboards, reports, or data visualizations using Tableau or similar business intelligence tools.
• Comfort using AI-enabled analytical and productivity tools, with sound judgment about data accuracy, confidentiality, and human review.
• Strong PowerPoint and presentation skills, with ability to communicate data-driven insights clearly and persuasively.
• Understand core retail KPIs including market share, distribution, velocity, pricing, and promo effectiveness.
• Ability to manage multiple priorities, work independently, and deliver accurate analyses within established timelines.
• Strong attention to detail, intellectual curiosity, problem-solving skills, and a willingness to learn and responsibly apply emerging AI tools.

Benefits

• Incentive Pay
• Vacation / Sick days
• Medical, Dental, Vision Benefits
• Telemedicine
• Onsite Clinic – Tyler and Valley
• 401 (k) with company match
• STD and LTD
• Life insurance & other voluntary benefits

Tagged as: Data Analysis, Data Visualization, Excel, Tableau