Director of Business Analytics

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🐊 Florida – Remote

🐊 Florida – Remote

⏰ Full Time

🔴 Lead

👔 Director

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RealCold

WebsiteLinkedInAll Job Openings

51 - 200 employees

📦 Logistics

🍽️ Food & Beverage

💊 Pharmaceuticals

Logistics • Food & Beverage • Pharmaceuticals

RealCold is a cold-chain logistics company that provides temperature-controlled storage and integrated cold chain services for food manufacturers, grocers, food service providers, direct-to-consumer brands, and specialty sectors. The company operates a national network of modern facilities (advertising over 61 million cubic feet of temperature-controlled space and roughly 180,000 pallet positions across ~10 locations), offering multi-temperature storage, handling (case picking, pallet inversions, cross-docking), value-added services (labeling/relabeling, inbound decanting, DSD, e-commerce fulfillment), and DTC order fulfillment. In May 2026 RealCold acquired SCL Cold Chain to expand into specialty products including wine, pharmaceuticals, healthcare, and sensitive equipment; SCL holds a CEIV Pharma Certificate. RealCold emphasizes customer-driven engineering, lean principles, technology-enabled operations, and facility features such as LEED certifications, multi-temperature rooms, and backup power.

📋 Description

• Trace data from warehouse and operational systems through ETL pipelines, data lakes, enterprise platforms, and reporting layers • Analyze warehouse operations, customer activity, labor, inventory, productivity, service performance, and financial outcomes • Design scalable data models, architectures, workflows, and governance practices • Partner with operations, technology, finance, customer teams, and functional leaders to improve processes and data integrity • Establish business logic, metric definitions, and data lineage for critical enterprise KPIs • Architect systems supporting analytics, AI-enabled workflows, automated ingestion, and agentic applications • Design and deliver dashboards and analytical products for operational leaders, executives, customers, and other stakeholders • Develop visualizations for labor productivity, inventory accuracy, throughput, occupancy, order performance, service quality, and customer profitability • Evaluate dashboard adoption and improve analytical products based on user decision-making • Translate data into practical insights that improve operational and financial performance • Identify levers driving productivity, service, labor efficiency, customer value, and profitability • Define and execute the company’s enterprise analytics, AI, and intelligent automation strategy • Identify AI use cases across warehouse operations, customer service, forecasting, labor management, commercial functions, and enterprise processes • Evaluate, implement, and prototype AI tools and scalable business capabilities • Serve as a strategic partner to executives, general managers, operational leaders, and customer-facing teams • Lead cross-functional initiatives involving data architecture, process improvement, analytics, and technology • Establish standards for data quality, analytical design, metric consistency, and insight delivery • Represent RealCold externally in customer discussions involving analytics, data integration, reporting, and technology capabilities

🎯 Requirements

• Bachelor’s degree in data science, Computer Science, Mathematics, Statistics, or Economics • Minimum five years of experience in business analytics, data architecture, data engineering, operational analytics, or a related field • Significant experience with Warehouse Management Systems (WMS), preferably Blue Yonder or Extensiv • Advanced SQL skills for investigating complex data structures, validating logic, identifying anomalies, and developing scalable data models • Experience with enterprise data platforms such as Snowflake, Databricks, or comparable technologies • Strong knowledge of ETL processes, data orchestration, and data transformation • Experience designing executive, operational, and customer-facing dashboards • Ability to identify business insights and translate analysis into operational or financial value • Familiarity with modern AI tools, intelligent agents, and AI-ready data architecture • Ability to lead through influence across technical, operational, and executive stakeholder groups • Excellent written, verbal, and presentation skills • Ability to synthesize technical and operational complexity into clear recommendations and business narratives • Experience with Python for data analysis, automation, integration, modeling, or application development • Experience with complex operational data, ideally in logistics, warehousing, supply chain, manufacturing, retail, or another process-intensive environment • Ability to investigate data, write queries, build prototypes, and resolve detailed operational issues • Ability to drive process change across teams without relying solely on formal authority • Ability to connect analyses and technology decisions to broader enterprise objectives • Confidence interacting with senior leadership and external customers • Must be able to pass a background check • Ability to work well under pressure • Ability to sit for extended periods and continually speak, hear, type, write, and read

🏖️ Benefits

• Fully remote work arrangement • Overnight travel up to 10% • Reasonable accommodation provided under appropriate circumstances and in accordance with applicable law • Equal employment opportunity and nondiscrimination protections