Intern, IT Data Analytics (Dallas, TX, US, 75201) bei HF Sinclair Corporation | Home
HF Sinclair Corporation | Home · Dallas, Vereinigte Staaten Von Amerika · Onsite
- Optionales Büro in Dallas
Basic Function
Job Duties
- Assist in designing and implementing data collection, analysis, and AI-driven processes.
- Gather, clean, and analyze data from diverse sources to uncover trends, patterns, and actionable insights using advanced analytics and AI tools.
- Support the development and deployment of machine learning models and AI solutions for business use cases.
- Apply data analytics and AI techniques to conduct quantitative and qualitative analyses using tools such as Excel, SQL, Power BI, Alteryx, Snowflake, and Azure tools.
- Prepare compelling data visualizations and reports to communicate findings and recommendations.
- Collaborate with team members to provide analytical and AI support for ongoing projects.
- Proactively manage tickets and tasks, ensuring timely follow-up and completion.
- Participate in special assignments or projects involving AI, automation, and data science as assigned by your supervisor.
Special assignments or tasks assigned to the employee by their superior, as determined from time to time in their sole and complete discretion.
Experience
Education Level
Required Skills
- Familiarity with databases, data visualization, and AI/ML tools (e.g., Snowflake, Power BI, Azure AI, Python, etc.).
- Strong interest in technology, artificial intelligence, and analytics.
- Effective communication skills and a customer-centric approach.
- Ability to work independently and as part of a team.
Work Conditions
Physical Requirements
Our One HF Sinclair Culture:
About HF Sinclair Corporation
Equal Opportunity Employer
HF Sinclair Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status or any other prohibited ground of discrimination.