Data Analyst Internship: Insights and Innovation
hace 1 mes
Philips is a leading technology company that empowers people to improve their lives. As an IT Intern specializing in data visualization and analysis, you will have the opportunity to join our team of innovators who drive growth through data-driven insights.
SalaryWe offer a competitive salary for this role, estimated at around $65,000 per year, depending on experience and location.
Job DescriptionAs a Data Analyst Intern, you will be responsible for 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.
To succeed in this role, you should have:
- 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).
- Proficiency in SQL, Python, and Excel.
- Familiarity with data visualization tools like Tableau or Power BI.
- Basic knowledge of SAS is a plus.
- Experience working on routine data reporting tasks.
- Exposure to data collection, organization, and analysis.
- Familiarity with SEO concepts and website metrics.
At Philips, we offer a range of benefits to support your well-being and career development, including access to cutting-edge technologies, opportunities for professional growth, and a dynamic work environment.
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