
Analytics & Data Engineering Specialist Intern
Are you a data-driven and analytical individual looking for an exciting opportunity to gain hands-on experience in the world of technology? Look no further, as Oracle is seeking a highly motivated and dynamic individual to join our team as an Analytics & Data Engineering Specialist Intern. In this role, you will have the opportunity to work alongside industry experts and use cutting-edge tools and technologies to drive data insights and innovation. As an intern, you will play a crucial role in supporting our data engineering and analytics efforts, while also gaining valuable knowledge and skills in a fast-paced and collaborative environment. If you have a passion for data and a desire to learn and grow, we want to hear from you!
- Collaborate with the data engineering and analytics teams to support their efforts in driving data insights and innovation.
- Use cutting-edge tools and technologies to analyze data and present findings to team members.
- Assist in the development and maintenance of data pipelines and data warehouses.
- Conduct research and provide recommendations for improving data processes and workflows.
- Help troubleshoot and resolve data-related issues.
- Learn and apply best practices in data engineering and analytics.
- Communicate effectively with team members to ensure alignment on project goals and progress.
- Keep up-to-date with industry trends and advancements in data engineering and analytics.
- Take ownership of assigned tasks and projects and deliver high-quality results within given timelines.
- Work collaboratively with cross-functional teams to support data-driven decision making.
- Document processes and procedures for data engineering and analytics projects.
- Participate in team meetings and contribute ideas for improving data processes.
Strong Analytical Skills: The Candidate Should Possess Excellent Analytical Skills And Be Able To Interpret And Analyze Complex Data Sets To Identify Patterns And Trends. This Includes Proficiency In Data Mining, Statistical Analysis, And Data Visualization.
Programming Knowledge: Proficiency In Programming Languages Such As Python, R, And Sql Is A Must. The Candidate Should Also Have Experience With Statistical Software And Tools Such As Tableau And Sas.
Data Management Experience: The Candidate Should Have An Understanding Of Data Management Principles And Be Familiar With Database Systems, Data Warehousing, And Data Governance Processes.
Knowledge Of Big Data Technologies: Experience With Big Data Technologies Such As Hadoop, Spark, And Nosql Databases Is Highly Desirable. The Candidate Should Also Have A Good Understanding Of Cloud Computing Platforms Such As Aws, Azure, Or Google Cloud.
Communication And Collaboration Skills: The Candidate Should Have Strong Communication And Collaboration Skills To Work Effectively With Cross-Functional Teams. This Includes The Ability To Communicate Complex Data Insights To Non-Technical Stakeholders And Work Collaboratively With Data Scientists, Engineers, And Business Analysts.
Sql
Programming
Python
Data Analysis
statistical analysis
Database Management
Big Data
Data Modeling
ETL
Machine Learning
Data Management
Data Visualization
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Multitasking
Time management
creativity
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Analytics & Data Engineering Specialist Intern in Kansas City, MO, USA is $58,000 - $65,000 per year. This can vary depending on the specific company, industry, and level of experience. Some internships may also offer additional benefits such as housing or transportation stipends. It is important to research the specific company and job description for more accurate salary information.
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Oracle Corporation is an American multinational computer technology corporation headquartered in Redwood Shores, California. The company sells database software and technology, cloud engineered systems, and enterprise software products—particularly its own brands of database management systems.

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