
Analytics & Data Engineering Specialist Intern
Are you a data-driven problem solver with a passion for technology? Are you looking for an opportunity to gain hands-on experience in the exciting field of analytics and data engineering? Look no further! Oracle is seeking a highly motivated and detail-oriented individual to join our team as an Analytics & Data Engineering Specialist Intern. In this role, you will have the opportunity to work with cutting-edge technology and contribute to the development of innovative solutions for our clients. We are looking for someone with a strong desire to learn, excellent analytical skills, and a drive to succeed. If you are a self-starter who is eager to make an impact, we want to hear from you! Join us at Oracle and take the first step towards a rewarding career in data engineering and analytics.
- Conduct data analysis and identify trends to support business decisions.
- Utilize technology and analytical tools to develop data solutions for clients.
- Collaborate with team members to design, develop, and implement data engineering projects.
- Gather and clean data from multiple sources to ensure accuracy and completeness.
- Develop and maintain databases, data warehouses, and other data storage systems.
- Create data visualizations and reports to communicate insights to stakeholders.
- Stay updated on industry trends and advancements in data engineering and analytics.
- Proactively identify and troubleshoot data issues to ensure data integrity.
- Work closely with cross-functional teams to understand business needs and provide data-driven solutions.
- Contribute to the development and improvement of data engineering processes and procedures.
- Adhere to data privacy and security protocols to protect sensitive information.
- Participate in training and development opportunities to enhance skills and knowledge.
- Take ownership of assigned projects and ensure timely and accurate completion.
- Communicate effectively with team members and managers to provide updates and seek guidance.
- Demonstrate a strong work ethic, attention to detail, and a drive to succeed in a fast-paced, dynamic environment.
Strong Analytical Skills: The Candidate Should Possess Exceptional Analytical Skills To Be Able To Understand Complex Data Sets And Extract Insights.
Proficiency In Data Engineering Tools: A Strong Knowledge And Experience In Data Engineering Tools Such As Sql, Python, R, And Hadoop Are Required For This Role.
Familiarity With Data Visualization Tools: The Candidate Should Have Experience Working With Data Visualization Tools Such As Tableau, Power Bi, Or Oracle Analytics Cloud To Present Data Insights In A Visually Appealing Manner.
Understanding Of Database Management: Knowledge Of Database Management Systems, Data Warehousing, And Data Integration Techniques Is Crucial For This Role.
Communication And Teamwork: The Candidate Should Have Excellent Communication Skills To Collaborate With Cross-Functional Teams And Present Data Insights Effectively. The Ability To Work In A Team Environment And Manage Multiple Projects Simultaneously Is Also Essential.
Data Analysis
statistical analysis
Database Management
Data Modeling
Machine Learning
Data Visualization
Cloud Computing
Big data processing
ETL Development
Python programming
SQL querying
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Teamwork
Positive Attitude
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Analytics & Data Engineering Specialist Intern in Santa Clara, CA, USA is between $75,000 - $95,000 per year. This range can vary depending on factors such as the intern's level of experience, the specific company they are interning for, and the specific skills and responsibilities required for the role. Salaries for this position may also be affected by the current job market and economic conditions.
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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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