As a Senior Sales Analytics Consultant supporting Southwest Business, you’ll help shape how Southwest turns Customer data into scalable strategies that grow corporate travel revenue and engagement. You’ll combine quantitative and qualitative insights to identify promising corporate partnerships, determine meaningful incentives, and influence contract strategies.
Compensation
Competitive market salary from $125,900 per year to $139,900 per year* depending on qualifications and experience. additional bonus opportunities are available
Responsibilities
Deliver Customer insights and opportunities through internal and Customer data and Account Manager insights leveraged throughout the sales cycle to achieve revenue targets
Work seamlessly with Account Managers and the Customer Success Team to deliver and identify revenue opportunities through internal transactional data, third-party data, account manager or Customer Success Team insights, cross-functional partners, or a variety of other sources in order to drive account strategies, tactics, contract proposals, and effective presentations
Transform raw data into easily understandable, presentable and actionable findings to identify opportunities and ensure performance, sharing with sales team partners, Customers, and all levels of management
Use technical skills (SQL, Alteryx, Python, R, Tableau, Big Data Concepts) and business knowledge to provide answers to business requests and proactively identify new opportunities
Provide the research and analysis of trends, and the development of new processes, tools, reports, and dashboards to support increased revenue from corporate accounts and greater efficiency within the sales cycle
Lead RTL Design Engineer for Mixed‑Signal IPs, responsible for developing, integrating, and verifying digital RTL blocks within mixed‑signal subsystems.
Responsibilities
Develop synthesizable, high‑quality RTL for mixed‑signal IPs such as ADC/DAC interfaces, PLL/DLL control, power management units, and sensor front‑ends.
Collaborate with analog design engineers to define digital‑analog interface specifications, control logic, and communication protocols.
Ensure correct functionality and performance of mixed‑signal IPs through behavioral modeling, simulation, and co‑verification with analog components.
Participate in design reviews, micro‑architecture definition, and documentation of IP functionality and timing interfaces.
Perform design quality checks including lint, CDC, RDC, and synthesis readiness analyses.
Requirements
B.E./B.Tech or M.S./M.Tech in Electrical Engineering, Electronics, or Computer Engineering
A deeply technical leadership role to lead how Blue Yonder trains LLM-based agents to operate supply chain software. The role sits at the center of the Model Training Factory to develop specialized AI agents.
Responsibilities
Lead the technical strategy for reinforcement learning, post-training, and tool-using LLM agents within the AI Studio.
Build and manage a team of machine learning engineers working on agent training, RL environments, reward modeling, evaluation, data generation, and training infrastructure.
Design environments where LLM agents learn to operate Blue Yonder software through APIs, tools, workflows, simulations, and human feedback.
Develop training and evaluation systems for multi-step supply chain workflows across planning, warehouse management, transportation, commerce, and network operations.
Define what 'good' looks like for operational agents: correct tool use, constraint adherence, business outcome quality, latency, cost, robustness, escalation behavior, and human trust.
Leading AI-driven Global Supply Chain Solutions Software Product Company, providing services delivery of product implementation and related integration for Supply Chain Planning solutions.
Responsibilities
Strategy, Architecting, Design/Development and leading the technical team on projects and delivery initiatives.
Lead and mentor team of technical associates on Solution implementation, enhancement, managed services, integration, and custom projects.
Estimate the workload of implementation activities, assess business needs, and assess integration complexity/architecture.
Conduct technical analysis sessions with customers to understand functional and technical needs.
Configure and implement Blue Yonder software solutions according to client's specific requirements.
Requirements
Bachelor’s degree
Master’s degree
Nice to have: Enterprise Architecture frameworks certifications
Design and develop advanced data science and analytics solutions for IIOT platforms, enabling data-driven decision-making and supporting long-term AI/ML strategy.
Responsibilities
Design and develop advanced data science and analytics solutions
Enable data-driven decision-making through statistical analysis and predictive models
Transform large-scale industrial and telemetry data into actionable business insights
Support long-term AI/ML and analytics strategy within TPD digital initiatives
Develop scalable analytical models and performance-critical algorithms using Python
Requirements
Bachelor’s or Master’s degree in Mathematics, Data Science, Statistics, Computer Science, or related field
Nice to have: Experience with Apache Spark and Databricks