It Internship: Data Visualization And Analysis

hace 4 días


Alajuela, Alajuela, Costa Rica Philips A tiempo completo

**Job Title**: IT Internship: Data Visualization and Analysis

As an IT Intern specializing in data visualization and analysis, you will have the opportunity to gain hands-on experience in the field of data science.
Your role will involve collecting, processing, and analyzing large datasets to derive meaningful insights.
You'll work closely with cross-functional teams to create interactive dashboards that facilitate data-driven decision-making.
**Responsibilities**:
**Dashboard Creation and Visualization**:

- Develop and maintain interactive dashboards using tools such as **Tableau**, **Power BI**, or similar platforms.
- Transform raw data into visually appealing and informative charts, graphs, and tables.
- Ensure that dashboards are user-friendly and accessible to non-technical stakeholders.
**Data Collection and Processing**:

- Collect data from various sources (databases, APIs, spreadsheets, etc.).
- Clean, organize, and preprocess data to prepare it for analysis.
- Write and execute SQL queries to retrieve relevant information.
**Statistical Analysis**:

- Perform statistical analyses on datasets to identify trends, patterns, and anomalies.
- Build predictive models (e.g., propensity models, attrition models) to support business decisions.
**Collaboration and Communication**:

- Collaborate with stakeholders to understand their reporting requirements.
- Fine-tune reporting formats based on stakeholder feedback.
- Translate complex data findings into actionable insights.
**Continuous Learning**:

- Learn to work with various analytics platforms and tools.
- Explore techniques for **search engine optimization (SEO)** and website analytics.
**Qualifications**:

- ** Education**: Pursuing (last year of education) or completed a relevant degree in fields such as **Statistics**, **Computer Science**, **Mathematics**, **Engineering**, or **Business Analytics** (bachelor's level).
- ** Skills**:

- Proficiency in **SQL**, **Python**, and **Excel**.
- Familiarity with data visualization tools like **Tableau** or **Power BI**.
- Basic knowledge of **SAS** is a plus.
- ** Experience**:

- Willingness to work on routine data reporting tasks.
- Exposure to data collection, organization, and analysis.
- Familiarity with SEO concepts and website metrics.



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