What are the responsibilities and job description for the Data Analyst Entry Level - 1776552 position at Intel?
Description
We are seeking a motivated and detail-oriented individual to fill the position of Entry-Level Data Analyst. As a Data Analyst, you will play a key role in analyzing and interpreting data to support business decision-making. This is an excellent opportunity to launch your career in data analysis and gain valuable experience in a dynamic and fast-paced environment.
You will be responsible for collecting, organizing, and analyzing large datasets to identify trends, patterns, and insights. Additionally, you will assist in preparing reports and presentations to communicate findings to stakeholders. You will have the opportunity to work collaboratively with cross-functional teams and develop your technical and analytical skills.
The ideal candidate for this role is a highly organized individual with a strong attention to detail. You should have excellent problem-solving skills and be comfortable working with large datasets. Additionally, you should have a strong grasp of statistical concepts and be proficient in data analysis tools such as Excel or Python.
Responsibilities
- Collect, organize, and analyze large datasets to identify trends and patterns
- Assist in the preparation of reports and presentations to communicate findings to stakeholders
- Collaborate with cross-functional teams to gather and analyze data for business decision-making
- Conduct data validation and data cleansing activities to ensure data integrity
- Identify opportunities for process improvement and propose solutions based on data analysis
- Monitor and track key performance indicators to measure the effectiveness of business strategies
- Support data-driven decision-making by providing insights and recommendations based on analysis
Requirements
- Bachelor's degree in a related field such as statistics, mathematics, or computer science
- Strong analytical and problem-solving skills
- Proficiency in data analysis tools such as Excel, SQL, or Python
- Familiarity with statistical concepts and techniques
- Excellent attention to detail and organization skills
- Ability to work independently and within a team
- Strong written and verbal communication skills
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