IT Intern, Data Analytics and Quality
Welcome to Corning, where innovation meets opportunity. We are currently seeking a driven and ambitious IT Intern to join our team in the Data Analytics and Quality department. As a global leader in materials science, Corning is dedicated to using data-driven insights to improve our processes and products. As an intern in this department, you will have the unique opportunity to gain hands-on experience in data analysis and quality assurance, while working alongside a team of experts in the field. We are looking for a detail-oriented and analytical individual who is passionate about utilizing data to drive meaningful change. If you are ready to take the first step towards a successful career in IT and contribute to the success of a world-renowned company, we encourage you to apply for this exciting opportunity.
- Conduct data analysis and quality assurance tasks under the guidance of senior team members.
- Participate in team meetings and contribute ideas for process improvement and data-driven initiatives.
- Learn and utilize various software and tools, such as SQL, Excel, and Tableau, to analyze and visualize data.
- Collaborate with cross-functional teams to identify areas for improvement and develop solutions using data insights.
- Assist in the development and maintenance of data quality standards and procedures.
- Help identify and resolve data discrepancies and errors.
- Conduct research and gather data to support various projects and initiatives.
- Maintain accurate and organized documentation of data analysis processes and results.
- Communicate effectively with team members and stakeholders to present findings and recommendations.
- Adhere to company policies and procedures, including data privacy and security protocols.
- Stay updated on industry trends and advancements in data analytics and quality assurance.
- Take ownership of assigned tasks and meet project deadlines.
Proficiency In Data Analysis Software: The Ideal Candidate For This Internship Should Possess Strong Skills In Data Analysis Software Such As Sql, Python, And/Or R. They Should Have A Deep Understanding Of Data Structures And Be Able To Manipulate And Analyze Large Datasets.
Knowledge Of Statistical Methods: A Strong Foundation In Statistical Methods Is Crucial For This Role. The Candidate Should Have A Basic Understanding Of Statistical Concepts Such As Hypothesis Testing, Regression Analysis, And Data Visualization.
Familiarity With Quality Control Principles: As A Data Analytics And Quality Intern, The Candidate Should Have A Basic Understanding Of Quality Control Principles And Methodologies. This Includes Knowledge Of Six Sigma, Lean, And Other Quality Improvement Techniques.
Excellent Communication Skills: The Candidate Should Possess Strong Communication Skills, Both Written And Verbal. They Should Be Able To Effectively Communicate Complex Data Insights To Non-Technical Stakeholders.
Ability To Work In A Team Environment: The Ideal Candidate Should Be Able To Work Collaboratively In A Team Setting. This Includes Being Able To Actively Participate In Team Meetings, Share Ideas, And Work Together To Solve Problems. They Should Also Be Able To Take Direction And Work Independently When Needed.
Sql
Programming
Data Analysis
Database Management
Excel
Machine Learning
Quality Control
Data Visualization
Report Writing
Data Mining
Statistical modeling
Data Cleansing
Communication
Conflict Resolution
Customer Service
Leadership
Time management
creativity
Attention to detail
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a IT Intern, Data Analytics and Quality in Painted Post, NY, USA is $50,000-$70,000 per year. This can vary depending on the specific company and industry, as well as the intern's level of experience and education.
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Corning, Inc. develops and manufactures specialty glass and ceramics. The company provides glass for notebook computers, flat panel desktop monitors, LCD televisions, and other information display applications; optical fiber and cable and hardware and equipment products for the telecommunications industry; ceramic substrates for gasoline and diesel engines in automotive and heavy duty vehicle markets; laboratory products for the scientific community and specialized polymer products for biotechnology applications; advanced optical materials for the semiconductor industry and the scientific community; and other technologies.
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