Data Analyst Intern
2 months ago
This is a remote position.
We are seeking a highly motivated Data Analyst Intern to join our team. This internship offers an opportunity to gain practical experience in data analysis reporting and visualization. As a Data Analyst Intern you will work closely with our data team to collect analyze and interpret data to help drive business decisions.Requirements
Key Responsibilities:
- Assist in collecting cleaning and organizing data from various sources.
- Perform data analysis to identify trends patterns and insights.
- Create visualizations and dashboards to communicate findings.
- Support the development and maintenance of reports and data models.
- Collaborate with different teams to understand their data needs.
- Participate in the design and implementation of datarelated projects.
- Present findings and insights to stakeholders in a clear and actionable manner.
Qualifications:
- Currently pursuing a degree in Data Science Statistics Mathematics Computer Science or a related field.
- Strong analytical and problemsolving skills.
- Proficiency in data analysis tools such as Excel SQL or Python.
- Familiarity with data visualization tools such as Power BI (Recommended)
- Excellent attention to detail and organizational skills.
- Ability to work independently and as part of a team.
- Strong communication skills both written and verbal.
Benefits
What We Offer:
- Handson experience with realworld data projects.
- Opportunity to develop technical and analytical skills.
- A collaborative and supportive work environment.
Key Responsibilities: Assist in collecting, cleaning, and organizing data from various sources. Perform data analysis to identify trends, patterns, and insights. Create visualizations and dashboards to communicate findings. Support the development and maintenance of reports and data models. Collaborate with different teams to understand their data needs. Participate in the design and implementation of data-related projects. Present findings and insights to stakeholders in a clear and actionable manner. Qualifications: Currently pursuing a degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Strong analytical and problem-solving skills. Proficiency in data analysis tools such as Excel, SQL, or Python. Familiarity with data visualization tools, such as Power BI (Recommended) Excellent attention to detail and organizational skills. Ability to work independently and as part of a team. Strong communication skills, both written and verbal.
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