Senior Business Intelligence & AI Solutions Analyst

FULLBEAUTY Brands™ i s the premier fashion and lifestyle destination for the plus size customer. We are an online and catalog marketplace offering a curated collection of the finest family of plus size brands and thousands of products.

Job Overview

We are seeking a forward-thinking temporary Senior Business Intelligence & AI Solutions Analyst to develop intelligent tools and data products that improve inventory planning, forecasting, and business decision-making. This role combines retail planning expertise, business intelligence, automation, and applied AI. The analyst will identify opportunities to replace manual processes, build AI-enabled planning solutions, create forecasting and recommendation tools, and translate large volumes of data into clear, prioritized actions. The ideal candidate is a hands-on problem solver who can work directly with planners and business leaders, rapidly develop prototypes, and partner with technical teams to move successful solutions into production.

Key Responsibilities

AI and Intelligent Tool Development

• Design and build AI-enabled tools that improve forecasting, inventory optimization, assortment planning, and exception-based decision-making.
• Develop solutions that identify opportunities, determine potential root causes, and recommend prioritized actions to business users.
• Create AI agents, copilots, and automated workflows that reduce manual analysis and allow planners to focus on higher-value decisions.
• Evaluate new AI technologies and identify practical applications within Inventory Planning and Merchandising.
• Rapidly prototype, test, and refine new tools based on business needs and user feedback.

Business Intelligence and Data Products

• Design and develop scalable dashboards, analytical tools, semantic models, and self-service reporting solutions.
• Build tools that allow users to analyze performance across time, product, channel, style, color, and SKU hierarchies.
• Create shared business measures for sales, inventory, demand, forecast, plan, variance, and year-over-year performance.
• Use platforms such as Power BI, Tableau, Snowflake, Excel, and other emerging technologies to deliver user-friendly solutions.
• Optimize queries, data models, and calculations to improve solution performance, scalability, and accuracy.
• Help transition manual or spreadsheet-based processes into connected, automated, and governed planning solutions.

Automation and Process Improvement

• Identify repetitive planning, reporting, and data-preparation activities that can be automated.
• Build workflows that connect source data directly to planning and reporting tools, reducing manual file movement and processing.
• Automate data validation, report generation, forecast refreshes, alerts, and other recurring planning activities.
• Develop solutions using SQL, Python, APIs, low-code tools, Excel automation, or other appropriate technologies.

Business Partnership and Solution Delivery

• Partners with planners, forecasters, merchants, and other partners to identify high-value opportunities.
• Translate business problems into solution requirements, prototypes, analytical models, and implementation plans.
• Manage AI and BI initiatives from concept and testing through deployment and adoption.
• Facilitate working sessions, demonstrations, user testing, and feedback reviews.
• Communicate solution results, limitations, and recommended actions clearly to technical and nontechnical audiences.
• Prioritize development based on business value, user impact, technical feasibility, and organizational strategy.

Skills and Qualifications

• Bachelor’s degree in business, Analytics, Data Science, Information Systems, Supply Chain, Finance, or a related field.
• Three or more years of experience in retail planning, forecasting, business intelligence, analytics, or a related area.
• Strong understanding of retail math, inventory management, merchandise planning, forecasting, and product hierarchies.
• Hands-on experience building analytical tools, automated workflows, dashboards, or decision-support solutions.
• Proficiency in SQL and BI platforms such as Power BI or Tableau.
• Experience working with cloud data platforms such as Snowflake.
• Experience with Python, machine-learning tools, AI platforms, APIs, or low-code automation is strongly preferred.
• Familiarity with generative AI, AI agents, forecasting models, recommendation systems, or natural-language…