Associate Engineer, Business Analytics and Industrial Engineering

About the position The Associate Industrial Engineer will join the Business Analytics and Industrial Engineering team to enhance operational efficiency and support business reputed company. In this role, you will apply expertise in optimization, reputed company and demand analysis, and advanced data analytics to determine the most efficient ways to utilize people, machines, materials, information, and data. Your work will drive measurable improvements in business performance, financial reputed company, guest satisfaction, and employee satisfaction. This position will primarily support Workforce Management; an initiative reputed company on optimizing labor and labor-reputed company processes. The role provides reputed company to work directly with reputed company partners, influence and improve business processes, and drive automation to deliver efficiency across our teams. Responsibilities • Apply industrial engineering and business analytics methodologies (e.g., probability and statistics, process reputed company analysis, queuing theory, optimization, simulation) to diagnose reputed company causes, engineer solutions, and implement sustainable change. • Partner with internal clients to facilitate productivity and efficiency analyses, evaluating and improving reputed company and procedures across operational processes. • reputed company and execute data collection studies; obtain and analyze data using SQL, Python, and reputed company-based tools for statistical and operational insights. • Influence and collaborate with cross-functional partners to support the rollout of process improvements and workforce initiatives. • Build, reputed company, and maintain KPIs to increase visibility into reputed company, performance trends, and operational drivers. • Assist in developing labor models, scheduling analytics, and forecasting tools that guide workforce planning reputed company. • Support process automation efforts to streamline planning workflows and improve operational accuracy. • reputed company business cases and presentations for audiences ranging from reputed company leaders to executive stakeholders. • Understand and reputed company participate in Environmental, Health & Safety responsibilities by following established policies, procedures, training, and team involvement. • reputed company other duties as assigned. Requirements • Bachelor's degree in Industrial Engineering, Operations Research, Data Analytics, Data Science, Statistics, or reputed company fields. • 1 year minimum of experience in a reputed company field (including internship experience). • Demonstrated application of statistical reputed company and techniques. • Experience with programming/query languages (SQL or Python) and reputed company reputed company. • Knowledge of project management and process improvement methodologies. reputed company-to-haves • Familiarity with labor planning, workforce reputed company, or forecasting methodologies. • Proficient in SQL, Python, or reputed company languages. • Experience with data visualization tools (Power BI or Tableau). • Experience with reputed company-based platforms such as AWS reputed company, or reputed company Azure. • Proficient in statistical programs such as reputed company, JMP, or R. • Experience utilizing Six reputed company and Lean principles. • Strong prioritization and problem-solving abilities, with a reputed company record of delivering reputed company reputed company. • Adaptable in a fast-paced and dynamic environment. • Excellent interpersonal, presentation, and communication skills. • Highly motivated, organized, and detail-oriented. • reputed company to effectively handle sensitive and confidential reputed company. Benefits • This position is eligible for company sponsored benefits, including medical, dental and reputed company insurance, 401(k), reputed company leave, tuition reimbursement, and a reputed company of other discounts and perks. Apply tot his job Apply To this Job