Business Analyst / Data Analyst - RELEX North America

Business/Data Analyst - RELEX Solutions 

Reports to: Presales Director - North America 

Location: North America (Remote or RELEX North America HQ in Atlanta, Georgia) 

Employment type: Permanent, full-time

Team: Presales North America and LATAM (collaborating with Central Presales Analytics) 

Travel: Less than 5-10% across North America and LATAM 

Compensation: Competitive base salary plus performance-based incentives 

About the Role: The Business/Data Analyst at RELEX is a pivotal support role that enhances the presales team's effectiveness throughout the sales cycle. You will work directly with Presales Solution Principals and the broader Presales team across North America and LATAM, providing the analytical foundation and technical expertise that drives successful customer engagements. This position integrates data analysis, technical configuration support, demonstration building, and customer engagement, serving as a developmental steppingstone to presales consulting, product management, or operations growth roles.

This is an excellent opportunity to build your high-growth career at a leading global software company in supply chain, pricing, promotions, assortment, space, and production planning and optimization.

Our Philosophy: We value analytical thinking, problem-solving ability, and eagerness to learn over perfect experience. Our interview process includes a hands-on data analysis case study where you'll demonstrate how you approach problems, not just technical mastery. We're looking for people who are excited to grow with us. 

This is some of what you'll be doing: 

Supporting Presales Solution Principals & Sales Teams: 

• Collaborate with Solution Principals to prepare for customer engagements by analyzing prospect data, identifying key business challenges, and developing data-driven insights that inform discovery sessions and workshops 
• Support the creation of compelling demonstrations that showcase RELEX's AI-powered capabilities, configuring the platform to reflect prospect-specific scenarios and business logic 
• Assist in developing Proof of Concepts (POCs) by managing data preparation, environment setup, technical configuration, and analyzing AI model performance results 
• Work with Solution Principals to translate customer business requirements into technical demonstrations and value propositions, articulating how machine learning models address their specific challenges 
• Develop and customize sales materials, including business cases, ROI analyses, presentations, and technical documentation that explain AI-driven outcomes in business terms 
• Participate in customer calls, discovery sessions, and presentations alongside Solution Principals, learning consultative selling and solution articulation 

Data Detective & Technical Configuration: 

• Collaborate with prospects and customers to identify, extract, and structure necessary data elements for RELEX system integrations, custom demos, X-rays, and POCs 
• Review customer data systems and identify required data pieces for RELEX functionalities across forecasting, replenishment, inventory optimization, pricing, promotions, and assortment planning 
• Translate business scenarios and process diagrams into technical data specifications and interface requirements 
• Advise customers on how to extract and structure data from their systems for optimal integration with RELEX 
• Analyze large datasets (millions of rows) to uncover insights, validate data quality, and demonstrate solution value through key performance metrics—using tools like Python, R, SQL, or other analytical platforms you're comfortable with 
• Evaluate AI model outputs and performance metrics (training provided), understanding how to tune and optimize machine learning forecasting models based on customer data patterns 
• Support technical environment setup, including creating data tables, managing configurations, and troubleshooting data issues 
• Work with Central Presales Analytics to manage and restore prospect/demo environments as needed 
• Document and recommend best practices for data preparation, integration, and quality management to enable accurate AI model training and predictions 

Innovation & Sales Enablement: 

• Participate in building new demonstration scenarios by defining required data points and constructing technical solutions for innovative use cases, including emerging AI applications in retail planning 
• Collaborate with Central Presales Analytics, Professional Services, Product Strateg