2026-2027 information technology – information and analytics – intern

data analyst

2026-2027 information technology – information and analytics – intern Jobs in Houston

acquisitions analyst

ai & data analytics co-op/intern Jobs in Houston

ai & data analytics co-op/intern

business analyst - azure data & bi Jobs in Houston

business analyst - azure data & bi

ai data analytics co op intern

AMOT Controls

<div><p><b>Position Type:</b> Co-op / Internship (Graduate-level, semester or summer term)</p>
<p><b>
Location:</b> [On-site &ndash; Houston]</p>
<p><b>
Duration &amp; Schedule:</b> 10&ndash;12 week summer internship OR 4&ndash;8 month co-op aligned to Fall, Spring, or Summer academic terms; full-time (40 hours per week).</p>
<p><b>
Key Responsibilities</b>:</p>
<ul>
<li>Engage with stakeholders across all levels of the organization to map end-to-end workflows for Sales, Customer Service, and Supply Chain functions, and translate business needs into well-scoped analytics or automation problem statements.</li>
<li>Collaborate within cross-functional teams to identify process bottlenecks and propose intelligent automation opportunities, prioritizing solutions based on business impact, feasibility, and time-to-value.</li>
<li>Leverage AI tools such as Microsoft Copilot and Claude to accelerate analysis, prototyping, and solution development, while applying sound judgment about when AI assistance is appropriate.</li>
<li>Contribute to the design, development, and deployment of internal AI chatbots and autonomous agents within the Microsoft Azure ecosystem (Azure AI Foundry, Azure OpenAI, Copilot Studio, Power Platform) to improve productivity and service levels.</li>
<li>Build evaluation datasets, design test cases, and measure the quality, accuracy, and safety of deployed AI agents.</li>
<li>Support adoption through training, documentation, and change-management support.</li>
<li>Document architectures, workflows, prompts, and lessons learned so that work is reproducible and transferable.</li>
</ul>
<p><b>Required Qualifications and Experience:</b></p>
<ul>
<li>Currently pursuing a Master's degree (or in the final year of an undergraduate program transitioning to graduate study) in Information Systems, Computer Science, Data Analytics, Data Science, Business Analytics, Industrial Engineering, or a related field.</li>
<li>Foundational programming skills in Python, including familiarity with libraries such as pandas, NumPy, and at least one visualization or ML library.</li>
<li>Working knowledge of SQL &mdash; able to write joins, aggregations, and window functions against a relational database.</li>
<li>Conceptual understanding of large language models (LLMs), prompt engineering, and retrieval-augmented generation (RAG).</li>
<li>Strong analytical and problem-solving skills with a business-oriented mindset; able to frame ambiguous problems and structure an approach.</li>
<li>Clear written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.</li>
</ul>
<p><b>Preferred Qualifications and Experience:</b></p>
<ul>
<li>Hands-on experience with Power BI (DAX, Power Query) or another enterprise BI tool.</li>
<li>Exposure to the Microsoft Azure AI stack &mdash; Azure AI Foundry, Azure OpenAI, Azure AI Search, or Cognitive Services.</li>
<li>Experience building automations with Power Automate, Copilot Studio, or similar low-code platforms.</li>
<li>Familiarity with version control (Git), Jupyter notebooks, and basic software engineering hygiene.</li>
<li>Coursework, projects, or internships involving applied machine learning, NLP, or generative AI.</li>
<li>Prior exposure to manufacturing, industrial, or B2B operations is a plus but not required.</li>
</ul>
<p><b>What You Will Gain</b>:</p>
<ul>
<li>Real ownership of AI and analytics deliverables that are used by AMOT employees and influence operational decisions.</li>
<li>Practical experience deploying AI solutions in an industrial manufacturing environment, including governance, security, and adoption considerations.</li>
<li>A portfolio of measurable outcomes suitable for academic capstones, theses, or future job applications.</li>
</ul>
<p><b>Other</b>:</p>
<ul>
<li>Physical Requirements: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this Job, the employee is regularly required to sit; use hands/fingers to handle, or feel and talk or hear. The employee is occasionally required to stand; walk and reach with hands and arms. The employee must regularly lift and/or move up to 25 pounds and occasionally lift and/or move up to 40 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision and ability to adjust focus.</li>
<li>Working Conditions: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this Job, the employee is occasionally exposed to moving mechanical parts; fumes or airborne particles; toxic or caustic chemicals and risk of electrical shock when in the operations or laboratory areas. The noise level in the work environment is usually moderate, but due to open office environment noise level may occasionally be high.</li>
</ul>
<p>Disclaimer: The above information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. EOE/AA/M/F/Vet/Disability</p></div><p></p>

AI & Data Analytics Co-op/Intern

Portfolio Resident Services

<div><p><b>Title</b>: Graphic Design Intern (Summer and/or Fall 2021)</p>
<p><b>
Status</b>: PT/FT</p>
<p><b>
Compensation:</b> Paid, DOE</p>
<p><b>
Location</b>: Houston, Texas</p>
<p><i>
Portfolio Resident Services, Inc.</i> is a 501(c)(3) non-profit organization committed to the design and execution of supportive and educational programs that raise social and cultural standards to people who live in affordable housing.</p>
<p><b>
Job Description: </b>Reporting to the Director of Technical Programs, the Graphic Design Intern will work with the Marketing and Technology teams to produce graphic designs for various social media platforms, use HTML5 and CSS for UI/UX design for mobile and web assets, motion graphics, and signage and print assets.</p>
<p><b>
Who is the ideal candidate? </b>We are looking for a self-starter who sees opportunities to add visual dimension across various functions of a business. They own a full understanding of the creative development process and workflow, and, when given a clearly defined project scope, are both highly conceptual and hands-on in a timely execution.</p>
<p>
This person stays connected with current interactive, mobile, advertising, design, and visual communication, and is expected to introduce contemporary design theory and application ideas to add value through innovation to our growing and highly motivated team.</p>
<p>
Requirements:</p>
<ul>
<li>Must be enrolled in a Graphic Design program at an accredited not-for-profit university.</li>
<li>Experience with HTML5 and CSS.</li>
<li>2+ years of experience using Ai, Xd, InDesign, and Photoshop.</li>
</ul>
<p>Preferred Skill</p>
<ul><li>
Familiar with data visualization software, i.e. dygraphs.</li></ul></div>

Bilingual Program Coordinator

Crown Castle

<div><p><b>Position Title: </b>Corporate Finance Intern</p>
<p><b>
Company Summary</b></p>
<p>
For more than three decades, Crown Castle has led the way in shared communications infrastructure, delivering profitable solutions by connecting communities, businesses, and people, and enabling each to thrive with reliable access to voice and data in more places, faster than ever before. When you join Crown Castle, you become part of a dynamic team of passionate and collaborative professionals engaging in complex challenges and contributing to projects that shape the future of life and work.</p>
<p><b>
Role</b></p>
<p>
The Corporate Finance Intern will assume an integral role on the Corporate Finance team and will be expected to support the team across all the team&rsquo;s main functions, including:</p>
<ul>
<li>Investor Relations (Managing preparations associated with quarterly earnings calls)</li>
</ul><ul><li>Long-term Strategy and Financial Forecasts</li>
</ul><ul><li>Capital Markets (Manage capital structure and capital markets-related activity just as debt and equity financing transactions)</li>
</ul><ul><li>Financial Support for Corporate Development, M&amp;A, and Sales</li>
</ul><ul><li>Strategic and analytical support for Sustainability initiatives and reporting</li>
</ul>
<p><b>Responsibilities</b></p>
<ul>
<li> Provide technical and analytical support on the following types of workstreams:</li>
</ul><ul><li>Financial modeling for various projects, transactions, and forecasts</li>
</ul><ul><li>Prepare presentations to communicate financial results, forecasts and strategy to the broader organization and investor ecosystem</li>
</ul><ul><li>Monitor industry news, estimates, strategic perspectives and commentary for purposes of benchmarking</li>
</ul><ul><li>Perform finance related projects as assigned</li>
</ul><ul><li>Work in Excel to conduct financial analysis</li>
</ul><ul><li>Ability to manage competing priorities under assigned deadlines</li>
</ul>
<p><b>Expectations</b></p>
<ul>
<li>Collaborative work done in a way that balances educated decision making with measured speed of implementation.</li>
</ul> <ul><li>Effective communication between teammates and manager.</li>
</ul> <ul><li>Ability to influence conversations and work through building of relationships, thoughtful framing of issues, and building influence through excellent work.</li>
</ul><ul><li>Agility to learn new skills and abilities as work within your group may change.</li>
</ul><ul><li>Strong written and verbal communication skills with an ability to present complex information in a clear and simple format.</li>
</ul><ul><li>A constant example of modeling Crown Castle&rsquo;s values.</li>
</ul>
<p><b>Education/Certifications</b></p>
<ul>
<li>Currently enrolled as a student in a degree program from an accredited higher education institution</li>
</ul><ul><li>Applicants must have completed at least 60 credit hours by the first day of the internship</li>
</ul><ul><li>Preferred field(s) of study: Finance</li>
</ul>
<p><b>Skills and Experience</b></p>
<ul>
<li>Ability to work full-time (40 hours/week) from June 1 to August 6, 2026</li>
</ul><ul><li>Authorization to work in the U.S. on a full-time, regular basis without additional sponsorship</li>
</ul>
<p><b>Reports to: </b>Director, Corporate Finance</p>
<p><b>
Work Plans: </b>This role is designated as an in-office position, with the standard schedule being Monday-Friday at the assigned office location. However, recognizing the need for flexibility in certain circumstances, occasional remote work may be permitted with prior approval from the manager.</p>
<p><b>
Compensation Information: </b>The hourly pay offered for this position is $19.50 per hour.</p>
<p><b>
Generative AI Usage Guidelines</b>: We recognize that generative AI tools can support candidates in preparing application materials and researching roles. You may use AI tools to help draft or refine your resume, or to research our company and industry. However, AI-generated responses are not permitted during live interviews or assessments, unless explicitly stated. We value authenticity and want to hear your unique perspective, experiences, and problem-solving approach. Misrepresentation of skills or experiences - whether facilitated by AI or other means - may result in disqualification. Candidates may be asked to attest that their interview and assessment responses reflect their own work and thinking, without the use of generative AI tools.</p>
<p><b>
Equal Opportunity Employer</b><br>
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.</p></div>

Corporate Finance Intern

PCL Construction

<div><p><b>The future you want is within reach. Let&rsquo;s build it together.</b></p><p>
At PCL Industrial Construction Co., part of the PCL Family of Companies (PCL), we don&rsquo;t just build projects&mdash;we build opportunities, careers and communities. We are 100% employee-owned, every employee has a stake in our success, and that shared commitment drives how we work, grow and lead in the construction industry.</p><p></p><p><br>
We&rsquo;re a team of builders who care deeply about what we create and who we build it with. That includes you. We are not only investing in what&rsquo;s next in construction, we are investing in what&rsquo;s next for your career.</p><p></p><p><br>
As a Construction Technology Analyst for PCL Industrial Construction Co. in Houston, Texas, you&rsquo;ll have the opportunity to bridge the gap between technology and the field by supporting project teams with tools, systems, and data that improve project delivery.</p><p></p><p><br>
Why Choose PCL?</p><p>
Choose a career with rewards that matter. PCL&rsquo;s total rewards are designed to support your growth, well-being and future success&mdash;because when you succeed, we all do.</p><p>
Our offerings could include:</p><ul><li>
Employee ownership opportunities that build long-term value</li><li>
Annual discretionary performance bonuses</li><li>
401(k) with company match</li><li>
Industry-leading medical, dental and vision benefits</li><li>
Prescription drug coverage and telemedicine services</li><li>
Life, AD&amp;D and disability insurance</li><li>
Paid parental leave and family care support</li><li>
HSA or FSA for healthcare, dependent care and transportation</li><li>
Mental health and wellness support, including Employee Assistance Programs</li><li>
Career growth pathways, leadership development and mentorship programs</li><li>
Access to world-class training through PCL&rsquo;s College of Construction and professional development courses</li><li>
Ongoing opportunities to learn new skills, explore different roles and grow your career across sectors and regions</li></ul><p></p><p><br>
Here's how a Construction Technology Analyst for PCL Industrial Construction Co. within US PICCo contributes to our team:</p><div><div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2></div><div><ul><li>
First-level contact and problem resolution with hardware, software, and applications.</li><li>
Resolves user-reported problems using available tools and following procedures and policies for handling support cases.</li><li>
District jobsite setup and turndown, including remote support; participates in BT projects with direct guidance and direction.</li><li>
Delivers technical training and other knowledge resources; administers and monitors district office and construction site server resources and technology solutions to ensure optimal operation and responds to issues.</li><li>
Technology asset management and tracking; conferencing installation, configuration, and support.</li><li>
Problem escalation through defined support channels; provides implementation support on corporate and regional initiatives.</li><li>
Accurate and timely logging of problems, and resolutions to problems, in problem management database.</li><li>
Communicates to the district the ongoing status of Business Technology initiatives and changes to existing systems and solutions.</li><li>
Mobile device configuration and support.</li><li>
Values and models the solution provider and profitability culture.</li><li>
Other duties as required.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Qualifications</b></h2></div><div><ul><li>
Bachelor&rsquo;s degree in computer technology or a related discipline.</li><li>
Co-op/internship or relevant experience preferred.</li><li>
Effective verbal and written communication skills, with the ability to communicate complex ideas and concepts clearly and concisely.</li><li>
Basic problem-solving and troubleshooting skill; basic understanding of how networking, server operating systems, and virtualization work together.</li><li>
Organizational and time management skills, with the ability to multitask and prioritize own work.</li><li>
Ability to work under pressure and escalate as required; ability to manage multiple products and solutions simultaneously.</li><li>
Ability to work effectively and collaboratively in a team environment and with employees at all levels/disciplines of the organization.</li><li>
Ability to work independently and with a geographically dispersed team.</li><li>
Independently conducts effective meetings in support of various projects and deliverables.</li><li>
Knowledge of change management methodologies an asset; ability to act with the required discretion when handling confidential information.</li><li>
Ability to learn independently and stay current with new technologies; ability to establish and maintain effective stakeholder relationships.</li></ul></div></div></div><p><b>
Your Work Has Purpose Here</b></p><p></p><p><br>
PCL projects are where life happens, where communities connect, careers begin, and progress is made. Regardless of the type of project, we are building something bigger: a future that's inclusive, resilient and full of opportunity.</p><p></p><p><br>
At PCL Industrial Construction Co., we are committed to creating a workplace where everyone belongs. We value the diverse experiences, identities and perspectives our employees bring. Employment decisions are based on merit, potential and the drive to make a difference, regardless of race, gender, age, ability or background.</p><p></p><p><br>
We know everyone's needs are different, if you require accommodation during the application process, please contact careers@pcl.com and include the position and location of interest.</p><p></p><p><b><br>
Company:</b> PCL Industrial Construction Co.</p><p><b>
Primary Location: </b>Houston, Texas</p><p><b>
Job Title: </b>Construction Technology Analyst</p><p><b>
Requisition ID: </b>12538</p></div>

Construction Technology Analyst

Chevron

<div><div><p>Chevron believes the future of energy is lower carbon. And we know that affordable, reliable, ever-cleaner energy is essential to achieving a more prosperous and sustainable world. For Chevron, reducing the carbon intensity of oil and gas represents a tremendous opportunity to advance the global net zero ambitions of the Paris Agreement and build a lower-carbon economy.</p><p></p><p>
Technology will play a crucial role in achieving this goal, and Chevron is seeking interns with a desire to thrive in a cutting-edge digital, global environment to securely advance the global energy transition. We differentiate ourselves through the application of technology, taking an approach that includes in-house expertise, proprietary solutions, and strategic partnerships.</p><p></p><p>
You will be supported by mentoring programs and employee networks to excel your professional development, learn about our business and technology organizations from key leaders, and have fun with work and social events throughout the summer!</p><p></p><p>
Information and Analytics is one of five job families within Information Technology. Roles within this job family understand the use of data, insights, and information to support work processes and strategic business objectives:</p><ul><li>
Transforms data into insights for making better decisions across the enterprise.</li><li>
Develops, executes, and manages information and data architectures, governance, practices, and procedures.</li><li>
Manages the full information and data lifecycle needs of the enterprise.</li></ul><p></p><p><b>
Positions available</b></p><ul><li>
Data Scientist</li><li>
Data Engineer</li><li>
Machine Learning Engineer</li><li>
Business Intelligence Analyst</li><li>
Data Analyst</li></ul><p></p><p><b>
Locations</b></p><ul><li>
Houston, TX</li></ul><p></p><p><b>
Data Scientist</b></p><p>
We are looking for motivated individuals to apply data science and machine learning expertise and solution delivery to join our team! You will be responsible for partnering across the business to identify opportunities to apply data science and create data science products that deliver strong value. Successful candidates will have the skills to identify, prototype, and build data science products.</p><p></p><p><b>
Key responsibilities</b></p><ul><li>
Identify and frame opportunities to apply advanced analytics, modeling, and related technologies to data that provide insight and improve decision making, and automation</li><li>
Identify data necessary and appropriate technology to solve business challenges</li><li>
Clean data, develop models, and test models</li><li>
Establish the life cycle management process for models</li><li>
Provide technical mentoring in modeling and analytics technologies, the specifics of the modeling process, and general consulting skills</li></ul><p></p><p><b>
Data Engineer</b></p><p>
We are looking for motivated individuals to design data products and data pipelines that are resilient to change, modular, flexible, scalable, reusable, and cost effective. You will leverage data and software engineering techniques to create business value through data accessibility. The primary role of data engineers is to make data available, secure, and accessible in usable formats to stakeholders. Successful candidates will understand the business use of data and the stakeholders&rsquo; requirements to support work processes and strategic business objectives.</p><p></p><p><b>
Key responsibilities</b></p><ul><li>
Identify, acquire, cleanse/prepare, store data, and develop reusable data products aligned with defined architecture patterns</li><li>
Create and manage data pipelines that enable advanced analytics models, and handle data challenges and opportunities</li><li>
Ensure the scalability and reliability of model deployment, and document the technical aspects of the process</li><li>
Develop and share reusable tools for data engineering tasks, and leverage technical services to optimize data workflows</li></ul><p></p><p><b>
Machine Learning Engineer</b></p><p>
We are looking for motivated individuals to bring technical expertise, innovation, and passion for building amazing data science solutions with real-world impact to join our team! Successful candidates will drive significant value through the agility of a small startup while ensuring scale and model/code reuse to a larger federated, world-wide organization by leveraging agile practices, continuous delivery, and automation techniques. There will be no shortage of opportunities to lead, innovate, challenge the status quo, and work directly with Data Scientists, Analytics Professionals and Business experts to build and deliver innovative, value driven AI solutions.
</p><p></p><p><b>Key responsibilities</b></p><ul><li>
Consult, identify and frame opportunities to implement AI solutions that help gain insight and improve decision making and automation</li><li>
Identify data, technology, and architectural design patterns to solve business challenges using analytical tools and AI design patterns and architectures</li><li>
Partner with Data Scientists and Chevron IT Foundational services to implement complex algorithms and models into enterprise scale machine learning pipelines
</li><li>Build machine and deep learning systems optimized for scalability and performance</li><li>
Transform data science prototypes into scalable solutions in a production environment</li><li>
Orchestrate and configure infrastructure that assists Data Scientists and analysts in building low latency, scalable and resilient machine learning, and optimization workloads into an enterprise software product</li><li>
Run machine learning experiments and fine-tune algorithms to ensure optimal performance</li></ul><p></p><p><b>
Business Intelligence Analyst</b></p><p>
We are looking for motivated individuals to provide data science and analytics expertise and solution delivery across Chevron to join our team! You will understand data in the larger context of the business and the value chain to transform data into insights for better decision-making through scientific exploration, analytics, and data. Successful candidates will be accountable for leading initiatives by performing data analysis, translating data requirements to technical requirements, and driving insights to business problems and decisions.</p><p></p><p><b>
Key responsibilities</b></p><ul><li>
Access, gather, and analyze data from source systems</li><li>
Help frame the business problem by providing quantitative and qualitative data analysis (data quality, availability, etc.)</li><li>
Drive insights to business problems by visualizing the data and telling a story through data (report patterns, trends, anomalies, etc.)</li><li>
Participate in the end-to-end product development lifecycle as a member of agile team</li><li>
Contribute to data analysis, data wrangling, data visualization, and acceptance testing</li><li>
Present findings and new development to help refine backlog items</li></ul><p></p><p><b>
Data Analyst</b></p><p>
We are looking for motivated individuals to provide expertise on how business workflows map to data, and how data can be integrated to build reusable data products. Successful candidates will be able to analyze the current state of data management: process, practices, tools &ndash; helping to shape future needs and serve as a subject matter expert for delivery teams.</p><p></p><p><b>
Key responsibilities</b></p><ul><li>
Understand the business use of data and stakeholder requirements to support strategic business objectives</li><li>
Collaborate with delivery teams to provide data management direction and support for initiatives and product development</li><li>
Contribute to the design of common information models</li><li>
Consult on the appropriate data integration patterns, data modeling and data quality</li><li>
Maintain and share knowledge of requirements, key data types and data definitions, data stores, and data creation process</li></ul><p></p><p><b>
Requirements</b></p><p><b>
Preferred education / degrees</b></p><ul><li>
Currently enrolled in bachelor&rsquo;s or master&rsquo;s degree program in Computer Science, Computer Engineering, Mathematics, Statistics, Operations Research, Data Science, Management Information Systems, or related Engineering degree</li><li>
Must provide a current, unofficial transcript with online resume (as proof of good academic standing) when applying for this position to be considered.</li></ul><p></p><p><b>
Experience</b></p><ul><li>
Data acquisition, analysis, modeling, movement, transformation, and preparation experience</li><li>
Demonstrated depth in advanced analytics / data science technologies (e.g., machine learning, operations research, statistics, data mining)</li></ul><ul><li>
Data Analyst: Experience with data modeling, data management, data quality, SQL</li><li>
Data Engineer: Experience using data pipelines, Data Lake and storage configuration, Python, RDBMS &amp; SQL</li><li>
Machine Learning Engineer: Software Engineering background. Working knowledge of mathematics (primarily linear algebra, probability, statistics), and algorithms. Working knowledge of machine learning frameworks and machine learning libraries.</li></ul><p></p><p><b>
Preferred skills / competencies</b></p><ul><li>
Ability to communicate in a clear and concise manner both orally and in writing.</li></ul><ul><li>
Knowledge of enterprise SaaS complexities including security/access control, scalability, high availability, concurrency, online diagnoses, deployment, upgrade/migration, internationalization, and production support</li><li>
Experience designing custom APIs for machine learning models for training and inference processes</li><li>
Software engineering skills and fundamentals: coding (Python, R) and Github, source control versioning, requirement spec, architecture, and design review, testing methodologies, CI/CD, etc.</li></ul><p></p><p><b>
Additional information</b></p><ul><li>
Relocation may be considered within Chevron parameters</li><li>
Chevron regrets that it is unable to sponsor employment visas or consider individuals on time limited visa status for this position</li></ul></div><div></div><div><div><div><div><p><b><br>
Regulatory Disclosure for US Positions:</b></p><ul><li>
The compensation and reference to benefits for this role is listed on this posting in compliance with applicable law.
</li><li>The anticipated hourly range for this position is $23.65 - $37.50. The selected candidate&rsquo;s monthly or hourly compensation will be determined based on their respective discipline, degree level and academic year for U.S. payroll offers.
</li><li>Chevron offers competitive compensation and benefits programs to eligible employees which includes, but is not limited to, variable pay, health care coverage, retirement plan, protection coverage, time off and leave programs, training and development opportunities and a range of allowances connected to specific work situations. Details are available at http://hr2.chevron.com/.</li></ul></div></div></div></div><p></p><p><br>
U.S. Regulatory notice:</p><p></p><p>
Chevron is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin or ancestry, age, mental or physical disability, medical condition, reproductive health decision-making, military or veteran status, political preference, marital status, citizenship, genetic information or other characteristics protected by applicable law.</p><p></p><p>
We are committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or an accommodation, please email us at emplymnt@chevron.com.</p><p></p><p>
Chevron participates in E-Verify in certain locations as required by law.</p></div>

2026-2027 Information Technology – Information and Analytics – Intern

LyondellBasell

<div></div><div><div><div><div><div>Location:
Houston, TX, US, 77056
</div></div></div></div><div><div><div><div>Req ID: 89984
</div></div></div></div><div><div><div><div>Facility: Williams Tower -130
</div></div></div></div><div><div><div><div>Department: Prog Mgmt Corp Functions
</div></div></div></div><div><div><div><div>Division: Innovation
</div></div></div></div><div></div><div><div><div><div><p>LyondellBasell is a leader in the global chemical industry creating solutions for everyday sustainable living. With a nearly 70-year legacy that includes a Nobel Prize in Chemistry and our proprietary <i>MoReTec</i> recycling technology, LYB is enabling a more sustainable future for generations to come. LYB develops high-quality and innovative products for applications ranging from sustainable transportation and food safety to clean water and quality healthcare. LYB places high priority on diversity, equity and inclusion and is Advancing Good with an emphasis on our planet, the communities where we operate and our future workforce. We're addressing the global challenges of ending plastic waste, taking climate action, and supporting a thriving society, while generating value for our customers, investors, and society.</p><div><div><div><h2 class="jobSectionHeader"><b>
Come Join an Inclusive Team</b></h2>
</div><div><p>
The Accelerator Hub Lead is responsible for building and running a multi-phase acceleration engine that rapidly transforms ideas into scalable, high-impact technology solutions. This role guides initiatives through intake, feasibility, proof of concept, pilot, and enterprise deployment using a structured, stage-gated model. The role is not an R&amp;D function; it is focused on accelerating validated business value from emerging technological opportunities like AI, automation, advanced analytics, and vendor platforms.</p>
<p>
Combining strategic vision, delivery leadership, portfolio management, and change management expertise, the Accelerator Hub Lead establishes a repeatable, governed pathway that institutionalizes experimentation and enables scalable adoption across the enterprise. Their mission is to reduce the cost of experimentation, accelerate time-to-value, and drive evidence-based funding decisions for enterprise transformation.</p>
<p><b>
Core Mission</b></p>
<ul>
<li>Lower experimentation costs and risks</li>
<li>Accelerate validated value to enterprise scale</li>
<li>Ensure funding decisions are grounded in evidence and measurable outcomes</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>A Day in the Life</b></h2>
</div><div><ul><li>Lead the end-to-end acceleration lifecycle: Drive initiatives through each phase (intake, feasibility, PoC, pilot, scale) with a disciplined, repeatable process.</li>
<li>Translate ideas into measurable business value: Align every opportunity to a clear problem statement, success metrics, and validated outcomes before scaling.</li>
<li>Manage a high-impact innovation portfolio: Prioritize initiatives aligned to enterprise strategy, allocate resources effectively, and make evidence-based go/no-go decisions.</li>
<li>Accelerate time-to-value: Reduce cycle time from ideation to pilot while maintaining governance, risk controls, and architectural standards.</li>
<li>Partner across the enterprise: Collaborate with business leaders, architecture, security, data, vendors, and delivery teams to ensure robust, scalable solutions.</li>
<li>Build repeatable capabilities: Develop playbooks, guardrails, and reusable patterns to institutionalize experimentation and scale emerging technologies.</li>
<li>Innovation Lifecycle Management: Oversee structured processes from intake through pilot and full-scale transition, including proof of value/concept, pilot launches, and operational handoff.</li>
<li>Governance &amp; Risk Management: Embed guardrails, governance, and compliance into all activities, ensuring risk, security, and privacy requirements are met from the outset.</li>
<li>Value Modeling &amp; Measurement: Define business value trees, quantify ROI, cost savings, and operational improvements, and implement rigorous tracking/reporting mechanisms.</li>
<li>Stakeholder Engagement: Secure buy-in from executive leadership, communicate progress and outcomes, and drive strategic agility across the organization.</li>
</ul>
<p><b>Success Metrics</b></p>
<ul>
<li>Speed from intake to pilot</li>
<li>Percentage of initiatives reaching validated value</li>
<li>Capital efficiency (cost per validated initiative)</li>
<li>Percentage of pilots successfully scaled</li>
<li>Realized business value (savings, revenue, risk reduction)</li>
<li>Stakeholder satisfaction</li>
<li>Reduction in shadow IT experimentation</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>You Bring This Value</b></h2>
</div><div><ul><li>10+ years in technology, change management, consulting, strategy, or innovation hub roles</li>
<li>Proven record of delivering innovation projects and technology transformation</li>
<li>Strong financial acumen and experience building business cases</li>
<li>Cross-functional program management capability</li>
<li>Comfort with ambiguity and fast-paced environments</li>
<li>Ability to influence senior executives and stakeholders</li>
<li>Experience working in outsourced/co-sourced environments (preferred)</li>
</ul>
<p><b>Critical Competencies</b></p>
<ul>
<li>Strategic Thinking: Aligns innovation to measurable enterprise outcomes</li>
<li>Operational Discipline: Implements effective governance and guardrails without slowing momentum</li>
<li>Bias for Action: Moves ideas forward quickly while managing risk</li>
<li>Executive Communication: Translates technical initiatives into compelling business value narratives</li>
<li>Portfolio Mindset: Balances experimentation with capital responsibility</li>
</ul>
<p><b>Ideal Background Profiles</b></p>
<ul>
<li>Digital transformation leader or change manager</li>
<li>Head of innovation, Incubation Lead, Digital Hub Lead</li>
<li>Enterprise program executive</li>
<li>Advanced analytics/AI transformation lead</li>
<li>Product portfolio leader in a large enterprise</li>
<li>Chief of Staff background</li>
</ul>
<p><b>What Makes This Role Different?</b></p>
<p>
This is not a traditional R&amp;D or innovation lab role. The Accelerator Hub Lead institutionalizes a repeatable acceleration process that quickly and safely converts emerging technologies into measurable business outcomes at scale. The focus is always on value realization, disciplined execution, strategic rigor, and sustainable enterprise impact.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Competencies</b></h2>
</div><div><div>Build Partnerships</div><div>
Drive Innovation</div><div>
Grow Capabilities</div><div>
Promote Inclusion</div><div>
Motivational Fit</div><div>
Technical Skills</div><div>
Deliver Results</div></div></div></div><p>
Learn more about our benefits: Benefits/Health &amp; Welfare | LyondellBasell</p>
<p><b>
Stay Connected!</b></p>
<ul>
<li>Visit our LYB Website</li>
<li>Follow us on LinkedIn and Instagram</li>
<li>Like us on Facebook</li>
<li>Subscribe to our YouTube channel<br>
<br>
LyondellBasell is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, disability, age, veteran status, and other legally protected characteristics. The US EEO is the Law poster is available here.<br>
<br>
LYB is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or an accommodation related to LYB&rsquo;s recruiting process, please email us at Careers@lyb.com.<br>
<br>
Applicants must be at least 18 years old.<br>
<br>
LyondellBasell does not accept or retain unsolicited r&eacute;sum&eacute;s or phone calls and/or respond to them or to any third party representing job seekers.<br>
<br>
Privacy Statement: For information regarding how LyondellBasell processes your personal data, please read our Privacy Statement.</li></ul></div></div></div></div></div><p></p>

Accelerator Hub Lead

Mustang Cat

Building Texas… Powering the World.
<br><br>
Since 1952, Mustang has proudly served the construction, oil & gas, power generation, marine, and manufacturing industries as the authorized Caterpillar® dealer for Southeast Texas. Start your career with Mustang Cat - one of America's Greatest Midsize Workplaces of 2025!
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Senior Data Engineer
<br>Snowflake, Semantic Layer & Enterprise Data Platform
<br>Mustang Cat is seeking a highly experienced Senior Data Engineer to design, own, and govern the enterprise data environment, with a strong focus on Snowflake, semantic layer design, trusted reporting, and enterprise data modeling.
<br>This role is responsible for ensuring that data is structured, transformed, secured, documented, and made available in a way that supports accurate operational and financial reporting across the business. The Senior Data Engineer will act as the technical steward of the enterprise data platform, ensuring that data models, reporting layers, metric definitions, semantic structures, and data quality standards are intentionally designed and consistently applied.
<br>The successful candidate must be deeply experienced in Snowflake, advanced SQL, dimensional modeling, analytics-ready data structures, and semantic layer design. This role will work closely with business stakeholders, reporting teams, application owners, integration engineers, and external vendors to ensure that the data warehouse becomes a trusted foundation for reporting, analytics, and future advanced use cases.
<br>While this role will collaborate with engineers responsible for ingestion, integrations, and data movement, the Senior Data Engineer will focus primarily on data architecture, modeling, semantic layer design, reporting-layer reliability, governance, and platform stewardship.
<br><br>
<b>Key Responsibilities:</b><br>
Snowflake Data Platform Ownership & Design
<br>Own the design and evolution of the enterprise data platform, including:
<br><ul>
<li>Snowflake data warehouse architecture</li>
<li>Raw, staging, curated, semantic, and reporting-ready layers</li>
<li>Schema and object design</li>
<li>Data models, views, tables, procedures, and transformation logic</li>
<li>Storage, compute, and performance optimization strategies</li>
<li>Define how data should be organized, modeled, and accessed to support reporting, analytics, operational decision-making, and downstream use cases.</li>
<li>Ensure the Snowflake environment is designed for scalability, cost efficiency, performance, security, and long-term maintainability.</li>
<li>Establish and maintain standards for Snowflake object naming, schema organization, access control, environment separation, and change management.</li>
</ul>
Data Modeling & Semantic Layer Design
<br>Design and maintain core data models that represent business entities, metrics, relationships, and reporting structures.
<br>Define conformed dimensions, fact tables, shared reference data, hierarchies, and reusable reporting models to ensure consistency across analytics and reporting.
<br>Establish and maintain semantic layer standards so business definitions, calculations, KPIs, and measures are applied consistently across tools and teams.
<br>Partner with reporting and analytics teams to ensure models align with how data is consumed in Power BI and other reporting tools.
<br>Help move critical reporting logic out of isolated reports, spreadsheets, and disconnected BI models into governed Snowflake and semantic-layer structures where appropriate.
<br>Ensure business metrics are defined once, documented clearly, and used consistently across the enterprise.
<br>Data Quality, Trust & Governance
<br>Define data quality standards, validation frameworks, reconciliation logic, and exception reporting expectations.
<br>Identify upstream data quality issues, transformation gaps, integration problems, and reporting inconsistencies that affect trust in enterprise reporting.
<br>Establish ownership and accountability for critical data domains, business definitions, and reporting metrics.
<br>Ensure data lineage, freshness, completeness, accuracy, and reliability expectations are clearly defined and measurable.
<br>Partner with integration and data movement resources to ensure pipelines conform to data quality, modeling, and governance standards.
<br>Support the validation of key operational and financial metrics from source systems through Snowflake and into reporting outputs.
<br>Environment Management & Standards
<br><br>
<b>Define and maintain standards for:</b><br>
<ul>
<li>Data environments, including development, test, and production</li>
<li>Snowflake schemas and database objects</li>
<li>Naming conventions</li>
<li>Access control and role-based permissions</li>
<li>Transformation logic and reusable patterns</li>
<li>Deployment and change management practices</li>
<li>Documentation and data model stewardship</li>
</ul>
Ensure the data environment aligns with security, compliance, audit, and operational requirements.
<br>Act as a gatekeeper for changes that materially affect data structure, semantic definitions, reporting logic, or data integrity.
<br>Collaboration with Integration & Analytics Teams
<br>Provide clear architectural guidance to integration engineers, data movement resources, reporting analysts, and external vendors.
<br>Review and approve data structures, transformations, and reporting-layer changes implemented by internal teams or vendor partners.
<br>Partner with analytics, Power BI, and business reporting teams to ensure data is usable, performant, accurate, and well-documented.
<br>Serve as an escalation point for complex Snowflake, data modeling, semantic layer, metric definition, and platform design decisions.
<br>Translate business reporting requirements into clear data structures, models, and reusable reporting objects.
<br>Documentation & Knowledge Stewardship
<br><br>
<b>Produce and maintain clear documentation covering:</b><br>
<ul>
<li>Snowflake architecture and platform design</li>
<li>Data models, facts, dimensions, and reporting structures</li>
<li>Semantic layer definitions</li>
<li>Business metric definitions</li>
<li>Transformation logic and business rules</li>
<li>Data lineage and source-system dependencies</li>
<li>Standards, guardrails, and best practices</li>
<li>Ensure documentation supports long-term ownership, reduces institutional knowledge risk, and enables consistent use of enterprise data across teams.</li>
</ul>
<b>Required Qualifications:</b><br>
<ul>
<li>8–12+ years of experience in data engineering, analytics engineering, data architecture, or enterprise data platform roles.</li>
<li>Strong hands-on experience with Snowflake.</li>
<li>Demonstrated experience designing and owning enterprise data environments.</li>
<li>Advanced SQL expertise, including complex queries, performance tuning, analytical functions, stored procedures, and transformation logic.</li>
<li>Strong experience with data warehouse design and optimization.</li>
<li>Strong experience with dimensional and analytical data modeling.</li>
<li>Experience designing semantic layers, reporting layers, data marts, or governed enterprise metric models.</li>
<li>Strong understanding of facts, dimensions, hierarchies, conformed entities, reference data, and reusable reporting structures.</li>
<li>Experience supporting enterprise reporting environments, preferably including Power BI or similar BI tools.</li>
<li>Strong understanding of ETL/ELT concepts, data lineage, access control, and data quality frameworks.</li>
<li>Ability to understand complex source systems, including ERP, CRM, operational platforms, and legacy databases.</li>
<li>Ability to lead data design decisions without being limited to pipeline execution.</li>
<li>Strong communication skills, with the ability to explain data structures, standards, and technical decisions to both technical and non-technical audiences.</li>
</ul>
<b>Preferred Qualifications:</b><br>
<ul>
<li>Deep experience with Snowflake performance optimization, cost management, role-based access control, and environment design.</li>
<li>Experience defining semantic layers and enterprise metric catalogs.</li>
<li>Experience with Power BI semantic models, tabular models, certified datasets, or governed BI data models.</li>
<li>Familiarity with data orchestration and ingestion patterns, including tools such as Azure Data Factory, dbt, Fivetran, Matillion, Talend, Informatica, Boomi, or similar platforms.</li>
<li>Experience with ERP, Salesforce/CRM, financial systems, operational reporting, or legacy system environments.</li>
<li>Experience operating data platforms in regulated, audit-sensitive, or control-focused environments.</li>
<li>Experience mentoring engineers, analytics engineers, or reporting developers.</li>
<li>Familiarity with AI, machine learning, or advanced analytics use cases supported by governed enterprise data.</li>
</ul>
<b>What Success Looks Like:</b><br>
The Snowflake environment is clearly structured, documented, and consistently implemented.
<br>Business metrics, reporting definitions, and semantic models are defined once and used consistently across analytics and reporting.
<br>Core facts, dimensions, hierarchies, and business entities are reusable, trusted, and aligned with business needs.
<br>Data quality issues are detected early and addressed systematically.
<br>Reporting teams consume trusted, well-modeled datasets rather than rebuilding logic in individual reports or spreadsheets.
<br>Integration pipelines conform to defined data standards, contracts, and quality expectations.
<br>Power BI and other reporting tools are supported by governed data models and reliable semantic structures.
<br>The data platform scales without fragmentation, uncontrolled complexity, or inconsistent reporting logic.
<br><br>
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<br><br>
Mustang Cat is an Equal Opportunity Employer.

Senior Data Engineer

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