Online Data Analyst Intern

We are looking for a detail-oriented Online Data Analyst Intern to assist in collecting, processing, analyzing, and visualizing data to support business decisions. This internship offers hands-on experience in data analytics, visualization, and reporting, providing an opportunity to work with real-world datasets and gain insights into data-driven decision-making. Key Responsibilities: Data Collection & Cleaning: Gather, clean, and preprocess raw data from various online sources, databases, and APIs. Data Analysis: Perform exploratory data analysis (EDA) to identify trends, patterns, and insights. Visualization & Reporting: Create dashboards, charts, and reports using tools like Excel, Tableau, Power BI, or Google Data Studio. Database Management: Assist in maintaining and organizing structured and unstructured data in databases such as SQL, NoSQL, or Google BigQuery. Machine Learning (Optional): Work on predictive models and basic machine learning algorithms under supervision. Business Insights: Provide insights and recommendations based on data analysis to support decision-making. Collaboration: Work closely with cross-functional teams, including marketing, finance, and product management, to support data-driven initiatives. Automation: Assist in automating data extraction and reporting processes using Python, R, or SQL. Qualifications & Skills: Education: Pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related field. Technical Skills: Proficiency in Excel (Pivot Tables, VLOOKUP, Data Analysis ToolPak) Knowledge of SQL for data querying Familiarity with Python or R for data analysis (Pandas, NumPy, Matplotlib, Seaborn) Experience with visualization tools (Tableau, Power BI, Google Data Studio) Soft Skills: Strong analytical and problem-solving skills Attention to detail and ability to work with large datasets Effective communication and presentation skills Ability to work independently and meet deadlines in a remote setup Bonus Skills (Nice to Have): Experience with web scraping, APIs, or big data tools (Hadoop, Spark) Exposure to machine learning models and AI analytics Understanding of A/B testing and statistical analysis Benefits of the Internship: Hands-on experience with real-world data analytics projects. Mentorship from experienced data professionals. Exposure to industry-standard tools and best practices. Opportunity to build a strong portfolio of data projects. Possibility of full-time employment based on performance.

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