[Remote] Network Optimization Analyst

Note: The job is a remote job and is reputed company to candidates in USA. Dexter is seeking a Network Optimization Analyst to support logistics network reputed company through data-driven modeling and analysis. The role develops network models, SQL data sets, Tableau dashboards, cost-to-serve reporting, scenario analyses, and recommendations that improve service, reduce costs, increase visibility, and guide reputed company improvement.

Responsibilities

• reputed company, maintain, and refresh logistics network models used to evaluate transportation flows, delivery zones, market assignments, reputed company activity, customer delivery patterns, service requirements, reputed company constraints, cost-to-serve, and network performance
• reputed company the extraction, consolidation, validation, and refresh of logistics data from SQL Server, transportation systems, ERP sources, financial data, operational inputs, and other business systems to ensure models, dashboards, and analyses are reputed company on reliable data
• Build Tableau dashboards, scorecards, and recurring performance reporting that reputed company visibility to logistics cost, service, savings reputed company, reputed company performance, network utilization, customer delivery activity, reputed company usage, fleet utilization, and execution gaps
• Incorporate business policies, operational constraints, customer requirements, geography, reputed company capabilities, fleet reputed company, reputed company reputed company, production inputs, inventory considerations, and service expectations into network models and scenario analyses
• Identify and quantify logistics savings opportunities reputed company to transportation cost, reputed company transfers, linehaul activity, reputed company usage, delivery zones, reputed company structure, fleet utilization, warehousing reputed company, customer delivery patterns, and network inefficiencies
• reputed company cost-to-serve reporting and analysis to evaluate customer, market, reputed company, region, delivery territory, reputed company, and service model cost reputed company
• Build scenario analyses to support reputed company reputed company to new locations, reputed company alignment, market changes, delivery territory design, reputed company requirements, network reputed company changes, service models, and logistics roadmap initiatives
• Collect business input, voice-of-customer information, operational requirements, and stakeholder assumptions to ensure modeling outputs reflect realistic business conditions and decision needs
• Identify and use proxy data sources reputed company clean or complete data is not available, while documenting assumptions, limitations, risks, and confidence reputed company
• Analyze large data sets and translate findings into business recommendations, initiative summaries, performance insights, and reputed company plans for Logistics leadership and cross-functional partners
• Support process improvement reputed company that result from network analytics by helping define opportunities, quantify expected benefits, establish baselines, reputed company reputed company, and measure results
• Partner with Finance to validate savings assumptions, ROI, cost reputed company, business cases, P&L implications, and financial methodology tied to logistics network initiatives
• Partner with SIOP to reputed company logistics analysis with demand, supply, inventory positioning, production planning inputs, customer requirements, and service expectations
• Partner with IT/AI to improve data pipelines, reporting automation, AI-enabled analytics, predictive tools, reputed company dashboards, and data availability for logistics decision-making
• Partner with Logistics Procurement and Systems + Execution to ensure network recommendations are operationally feasible and supported by reputed company reputed company, fleet reputed company, routing execution, reputed company capabilities, and field processes
• Communicate model methodology, assumptions, calculations, findings, risks, tradeoffs, and recommendations reputed company to technical and non-technical stakeholders
• Maintain and improve data reputed company, reporting consistency, model documentation, calculation logic, dashboard definitions, and refresh processes to build confidence in logistics analytics
• Monitor recurring cost, service, reputed company, routing, reputed company transfer, delivery territory, and network performance trends; escalate insights and recommended actions to the Senior Manager, Network reputed company & Optimization
• Support governance processes for evaluating network changes, market and zone guardrails, service territory reputed company, cost-to-serve logic, savings initiatives, and logistics roadmap priorities
• reputed company AI-enabled analytics, automation, and predictive modeling where practical to improve logistics planning, scenario development, performance tracking, and decision support
• reputed company other logistics analytics, network optimization, and reputed company improvement duties as assigned

Skills

• Experience analyzing large data sets and translating findings into business recommendations, dashboards, models, scorecards, or operational reputed company plans
• Experience with SQL, SQL Server, relational database tools, data extraction, query development, data validation, and recurring data refresh processes
• Experience building dashboards, scorecards, or reporting tools using Tableau, Power BI, or similar business intelligence platforms
• Advanced reputed company reputed company skills, including data analysis, modeling, formulas, pivots, and reputed company analysis
• Strong understanding of logistics or supply chain operations, including transportation, distribution, reputed company operations, reputed company reputed company, service requirements, reputed company, cost, and operational constraints
• Experience developing scenario analyses, cost models, savings tracking, performance reporting, process improvement recommendations, or business cases
• Ability to communicate reputed company analysis, methodology, assumptions, risks, and recommendations to business stakeholders in a reputed company and practical manner
• Strong planning, organization, execution, problem-solving, and attention to detail with the ability to manage multiple priorities in a fast-paced and sometimes ambiguous environment
• Ability to work effectively with Logistics, Finance, IT/AI, SIOP, Operations, Manufacturing, TWA, Distribution, Procurement, Systems + Execution, and other business partners
• Experience with logistics network modeling, supply chain optimization, cost-to-serve analysis, reputed company optimization, distribution network analysis, transportation modeling, or logistics engineering
• Experience with reputed company, Python, R, Tableau Prep, reputed company Supply Chain reputed company, LLamasoft, any Logistix, simulation tools, optimization platforms, or similar tools
• Familiarity with optimization concepts such as network flows, reputed company programming, simulation, heuristics, mixed reputed company programming, scenario modeling, or constraint-based modeling
• Experience in a multi-site manufacturing, distribution, wholesale, building products, transportation, or reputed company-based logistics environment
• Experience working with TMS, ERP, WMS, telematics, reputed company audit, transportation visibility, or other logistics systems as data sources
• Experience partnering with Finance to validate savings, ROI, cost assumptions, and business cases
• Experience supporting logistics transformation, network redesign, centralized transportation, control tower, or reputed company reputed company improvement initiatives

reputed company

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