Overview:
The Data Visualization and Analyst Internship is a crucial role within our organization responsible for supporting the analysis and visualization of data to drive decisionmaking and achieve business objectives. This role will involve working closely with senior analysts and data scientists to develop and present insights through compelling visualizations.
Key Responsibilities:
- Collect and process data from various sources for analysis
- Create visually impactful and clear dashboards reports and presentations
- Develop and maintain data visualizations using industrystandard tools
- Assist in analyzing large datasets to identify trends patterns and correlations
- Support datadriven decisionmaking by providing actionable insights
- Collaborate with crossfunctional teams to understand data requirements
- Conduct research and stay updated on data visualization best practices
- Assist in the development of predictive models and machine learning algorithms
- Communicate findings and insights to stakeholders using visualizations and storytelling
- Contribute to the enhancement of data governance and quality assurance processes
- Participate in team meetings and contribute to brainstorming sessions
- Assist in documenting processes and maintaining data repositories
- Follow data privacy and security best practices
- Complete assigned projects and tasks within specified timelines
- Take initiative in learning new tools and technologies related to data visualization and analysis
Required Qualifications:
- Bachelors degree in Data Science Computer Science Statistics Mathematics or related field
- Strong knowledge of data visualization principles and best practices
- Proficiency in using data visualization tools such as Tableau Power BI or similar
- Experience with programming languages such as Python R or JavaScript
- Ability to write and optimize SQL queries for data extraction
- Familiarity with statistical analysis and machine learning techniques
- Excellent analytical and problemsolving skills
- Ability to work effectively in a team as well as independently
- Strong communication and presentation skills
- Detailoriented with a passion for data and visual storytelling
- Understanding of data governance data management and data quality concepts
- Adaptability and willingness to learn new technologies and methodologies
- Experience with version control systems such as Git is a plus
- Knowledge of data cleaning transformation and preprocessing techniques
- Exposure to cloud platforms and big data technologies is an advantage
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