
Analytics & Data Engineering Specialist Intern
Are you a curious and driven individual with a passion for data and technology? Do you have a strong background in analytics and data engineering? Oracle is seeking a highly motivated and talented Analytics & Data Engineering Specialist Intern to join our team. As a global leader in enterprise software and cloud solutions, Oracle is committed to providing cutting-edge products and services to our clients. Our interns play a critical role in contributing to our success, and we are looking for someone who is eager to learn and grow in a dynamic and fast-paced environment. If you are a problem-solver with strong technical skills and a desire to make an impact, we would love to hear from you. Join us and be a part of our innovative and collaborative team at Oracle.
- Conduct data analysis and provide insights to support business decisions and strategies.
- Develop and maintain data pipelines and ETL processes to ensure data accuracy and reliability.
- Work with various data sources and tools to gather, clean, and transform data for analysis.
- Collaborate with cross-functional teams to understand business needs and deliver data solutions accordingly.
- Utilize programming languages, such as SQL and Python, to manipulate and analyze large datasets.
- Identify areas of improvement in data processes and provide recommendations for optimization.
- Develop and maintain dashboards and reports to visualize data and communicate findings to stakeholders.
- Keep up-to-date with industry trends and advancements in data analytics and technology.
- Participate in team meetings and contribute ideas and solutions to enhance team performance.
- Take ownership of assigned projects and manage timelines and deliverables effectively.
- Communicate effectively with team members and managers to provide updates on project progress.
- Continuously learn and acquire new skills to enhance technical expertise and contribute to team growth.
- Adhere to company policies and procedures, and maintain data security and confidentiality.
- Represent Oracle as a brand ambassador and maintain a positive and professional image at all times.
Strong Analytical And Problem-Solving Skills: The Ideal Candidate Should Possess A Strong Aptitude For Analyzing Data And Identifying Patterns, As Well As The Ability To Leverage Data To Solve Complex Business Problems.
Proficiency In Data Engineering Tools And Languages: The Candidate Should Have Proficiency In Tools And Languages Such As Sql, Python, R, And Hadoop, As Well As Experience With Data Warehousing And Etl Pipelines.
Knowledge Of Data Management And Governance: The Candidate Should Have A Good Understanding Of Data Management Principles And Best Practices, As Well As Experience With Data Governance And Compliance.
Familiarity With Oracle Products And Services: Prior Knowledge Or Experience With Oracle’s Cloud-Based Products And Services, Such As Oracle Autonomous Database And Oracle Analytics Cloud, Is Highly Desirable.
Excellent Communication And Teamwork Skills: The Candidate Should Have Strong Written And Verbal Communication Skills, As Well As The Ability To Work Collaboratively In A Team Environment With Various Stakeholders.
Sql
Programming
Python
Data Analysis
Database Management
Big Data
Machine Learning
Data Visualization
Data Mining
Statistical modeling
ETL (Extract, Transform, Load)
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Critical thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Analytics & Data Engineering Specialist Intern in Redwood City, CA, USA is approximately $25-$50 per hour. However, this can vary depending on the specific company and the intern's level of experience and skills. Some companies may offer a higher or lower hourly rate, and some may also offer additional benefits or compensation.
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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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