• Conduct modeling and data analysis to support analytics, BI, and AI-enabled solutions. • Report to the Manager of Enterprise Data. • Partner with leaders across the Center of Excellence and Business Units. • Design, build, and document semantic and medallion models for BI dashboards and AI tools. • Advocate for data-driven culture by publishing data sources and building knowledge resources. • Analyze results to ensure data integrity and help improve data governance processes. • Collaborate on testing and documentation standards for model development. • Capture business rules and data quality requirements. • Partner to audit key dashboards in Tableau and Streamlit. • Participate in Agile/Scrum processes for solutions development. • Research new tools and practices for data systems effectiveness.

Role Description We are seeking a data-driven and operationally astute Senior Supply Chain Analyst to optimize warehouse fulfillment, demand planning, and material flows for our strategic, locked-in hyperscaler accounts. Operating within a premier B2B 3PL environment, this role serves as the critical node linking global inventory strategy with daily warehouse execution. The ideal candidate will have at least 5 years of experience managing complex, contractual enterprise logistics. You will own the capacity and workload planning for our global operations to meet stringent, high-stakes enterprise SLAs. What You'll Do - Warehouse Operations & Capacity Planning (Production Planning) - Operational Workload Scheduling: Translate hyperscaler demand into weekly and daily warehouse activity plans. - Throughput & Labor Modeling: Forecast floor capacity, floor space, and material handling equipment (MHE) required to prevent bottlenecks and ensure zero-delay dispatch in collaboration with Warehouse and Logistics leadership and procurement. - SLA & Queue Management: Monitor real-time warehouse backlog and processing metrics to ensure 100% compliance with rigid B2B contract timelines and KPIs. - Demand & Material Planning - Program Alignment: Analyze hyperscaler forecast, demand, project timelines, and regional hardware refresh cycles to generate accurate asset-handling demand plans. - Material & Kitting Readiness: Manage the pipeline for auxiliary materials (packaging, custom racking, specialized installation kits) ensuring zero operational delays due to missing components. - Cross-Border Visibility: Coordinate with global operations teams to track global inventory in transit and synchronize receiving schedules at global warehouses. - B2B Inventory Analysis & Asset Control - High-Value Inventory Management: Execute precision inventory analysis using ABC/XYZ categorization, serialization tracking, and aging analysis for massive enterprise assets. - Discrepancy Root-Cause Analysis: Lead cycle count programs, reconcile variances, and minimize inventory leakage within the WMS in collaboration with the Warehouse & Logistics leadership team. Qualifications - Bachelor’s degree in Engineering, Logistics, Supply Chain, or a related field. - APICS (CPIM/CSCP) or specialized certifications in Lean Operations are highly preferred. Requirements - Minimum 5 years of core experience in B2B supply chain planning, specifically within 3PL contract logistics, tech infrastructure fulfillment, or enterprise asset management. - Advanced proficiency in Tier-1 Warehouse Management Systems (WMS) (e.g., Manhattan, Blue Yonder, SAP EWM, or Oracle WMS). - Strong mastery of enterprise ERP environments (SAP or Oracle) and advanced MS Excel (Data Modeling, Power Query, Macros). - Direct experience building operational dashboards via Power BI or Tableau. - Strong professional presence to manage communication with high-value enterprise stakeholders. - Exceptional operational problem-solving capability—ability to translate raw data into floor-level execution. Benefits - At EOS, we believe diversity drives innovation. - We are committed to creating an inclusive workplace where everyone feels valued, respected, and empowered to contribute. - We welcome applicants from all backgrounds and strive to ensure equitable opportunities for all.

• Join our team and experience how we lead with passion, positivity, and accountability to deliver the Right Talent. Right Now. • Create an environment where you can think big, have fun and truly make a difference.

Role Description The Business Intelligence Engineer 2 solves complex business problems and issues using data from internal and external sources to provide insight to decision-makers. Work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action. Fully Remote The Medicaid Business Intelligence Engineer describes the tools, technologies, applications, and practices used to collect, develop, integrate, analyze, and present an organization's raw data in order to create insightful and actionable business information. Responsibilities include: - Supporting development of data and creation of processes, reporting, and visualizations for all Humana Healthy Horizons Medicaid Risk Adjustment, prospective programs, and interoperability. - Taking initiative to create innovative solutions to complex business problems. - Managing Big Data and data quality. - Understanding department, segment, and organizational strategy and operating objectives, including their linkages to related areas. - Making decisions regarding own work methods, occasionally in ambiguous situations, and requiring minimal direction while receiving guidance where needed. - Following established guidelines/procedures. Qualifications - 2+ years of experience in Python or Pyspark - 2+ years of experience in Jupyter Notebook environment - 2+ years of experience in Databricks Platform - 2+ years of experience in Microsoft PowerBI or other data visualization software - 2+ years of experience working with Big Data and performing root cause analysis - 2+ years of experience in business ownership of data processes - In-depth experience in Microsoft Office including Excel formulas, pivots, charts, graphs, etc. Requirements - Experience in Managed Care - Experience in Medicaid - Experience in risk adjustment - Experience with data mining and predictive modeling techniques - Ability to use data to drive business outcomes and decisions - Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field Benefits - Medical, dental, and vision benefits - 401(k) retirement savings plan - Time off (including paid time off, company and personal holidays, paid parental and caregiver leave) - Short-term and long-term disability - Life insurance - Many other opportunities Additional Information - This role is not eligible for work visa sponsorship. - Self-provided internet service must meet a minimum download speed of 25 Mbps and an upload speed of 10 Mbps. - Employees in certain states will be provided a bi-weekly payment for their internet expense. - Humana will provide telephone equipment appropriate for the position/job. - Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information. - Occasional travel to Humana's offices for training or meetings may be required. - Scheduled Weekly Hours: 40 - Pay Range: $66,800 - $91,100 per year - This job is eligible for a bonus incentive plan based on company and/or individual performance.