Job Description: Data Analytics Internship 1 month Company: Data GUCLocation: UAE (Remote) Duration: 1 month (Monday to Friday 9.00 AM to 5.00 PM) About the Internship:This 1-month internship at Data GUC provides hands-on experience in data analytics, focusing on real-world projects using Power BI, Excel, SQL and Python. Interns will develop practical skills in data extraction, transformation, visualization, and analysis, gaining valuable industry exposure. Key Responsibilities: • Assist in data collection, cleaning, and processing using Excel, SQL, and Python. • Create interactive dashboards and reports in Power BI. • Perform data visualization and basic analytics to generate insights. • Learn and apply Power Query transformations and DAX formulas. • Work on real-time business projects with industry professionals. • Present findings and insights through data-driven storytelling. Requirements: • Basic understanding of Excel, Power BI, SQL, or Python. • Strong analytical and problem-solving skills. • Interest in data analytics and business intelligence. • Ability to commit full-time (Monday to Friday, 9 AM - 5 PM) for 1 month. Benefits: • Hands-on experience in real-world data analytics projects. • Exposure to industry-standard tools and best practices. • Mentorship from data professionals. • A strong addition to your resume and LinkedIn profile.

Assist in collecting and cleaning data from various sources to ensure accuracy and reliability for analysis.Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies within the dataset.Support the development and maintenance of dashboards and reports that visualize key performance indicators (KPIs).Collaborate with team members to understand business objectives and translate them into analytical tasks.Assist in automating repetitive tasks and processes to improve efficiency in data handling.Document methodologies and processes to ensure reproducibility and knowledge sharing within the team.Learn and apply data visualization tools to enhance reporting and storytelling with data.Participate in team meetings to present findings and contribute to data-driven decision-making processes.Utilize statistical methods to analyze data sets, providing actionable insights to stakeholders.Stay updated with the latest trends and technologies in data analytics to bring innovative solutions to the team.