Enterprise Operations Engineering Internship at HP Law

Spring, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

26 Jan, 26

Salary

0.0

Posted On

28 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Environmental Engineering, Software Development, Automation, Visualization Tools, Sustainability, Project Management, Data Management, Microsoft Excel, Power BI, Analytical Skills, Problem-Solving, Communication Skills, Interpersonal Skills, Statistical Analysis, Financial Modeling, Programming Languages

Industry

IT Services and IT Consulting

Description

Environmental Engineer Software development, automation, and visualization tools (Power BI), Sustainability topics like: Sustainable materials, green house gas emissions, life cycle analysis, energy analysis, Project Management, MS Office, AI, Desk Research, Exposure to and Passion for Sustainability (Climate, Social Impact, Circularity, etc), Data management of all kinds. PowerBI, understanding of IT processes 3rd Year of Bachelor's degree completed or 1st year of Master's program completed.--typically a technical degree specialization. Must be enrolled full time at an accredited university. Able to obtain work authorization in the United States in 2026, and not require sponsorship in the future. Strong analytical and problem-solving skills, with the ability to apply the SCOR model to identify process gaps and propose solutions Proficient in Microsoft Excel, PowerPoint and Teams and Sharepoint Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross- functional teams Detail-oriented and organized, with the ability to manage multiple tasks and meet deadlines Ability to work successfully in a volatile, uncertain, complex and ambiguous (VUCA) environment A minimum cumulative GPA of 3.0 on a 4.0 scale Industrial Engineering, Mechanical Engineering, Data Analytics, Data Sciences and Computer Science Advanced knowledge of Microsoft PowerBI, SQL and Access database a plus Knowledge of programming languages such as Python or others a plus Strong knowledge of Microsoft Knowledge of statistical analysis, and financial modeling Advanced knowledge of Microsoft Excel with experience in creating Pivot tables, VLOOKUP, macros Strong business acumen and technical knowledge within area of responsibility. Knowledge with programming languages (Python, other) Ability to work in virtual teams Be an agent of Management of Change Previous internships in a Supply Chain related function Assist in analyzing and mapping our current supply chain processes using the SCOR model framework Identify areas for improvement and propose recommendations to enhance efficiency, reduce costs, and increase customer satisfaction in the Sourcing and Logistics areas. Collaborate with cross-functional teams, including planning, procurement, production, logistics, returns, customer service, and operations to gather data and insights for process optimization Support the implementation of supply chain improvement initiatives, such as inventory management, demand planning, and order fulfillment Conduct research on industry best practices and emerging trends in supply chain management to contribute to continuous improvement efforts Assist in data collection, analysis, and reporting to measure key performance indicators (KPIs) and track the progress of supply chain initiatives. Participate in meetings, workshops, and training sessions related to supply chain management and process improvement Designing a sustainability initiative independent or in conjunction with other business function, i.e., Packaging suppliers, Logistics/Transportations suppliers Identifying and implementing new, innovative quality control processes and procedures for component suppliers Conduct market research to propose and implement potential new technologies leading for supply chain optimization Apply analytics to develop data-driven solutions and financial/operational models to complex problems

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Responsibilities

Assist in analyzing and mapping current supply chain processes using the SCOR model framework and identify areas for improvement. Collaborate with cross-functional teams to gather data and insights for process optimization and support the implementation of supply chain improvement initiatives.