We are looking for a passionate Data Analysis Intern to join our team at Priya Qubit Pvt. Ltd. This is a remote, 3-month unpaid internship designed for candidates who want to gain hands-on experience in real-world data analysis, dashboard building, and reporting. Priya Qubit Pvt. Ltd., based in Hyderabad, Telangana, is a services and product-based company working in AI, ML, Image Processing, Quantum Computing, Web Development, and Cloud Solutions. We focus on creating impactful technology solutions that help businesses and communities grow. As a Data Analysis Intern, you will work closely with our data and product teams to collect, analyze, visualize, and interpret data to support decision-making across departments. You will also gain experience in building dashboards, improving data processes, and generating insights for internal stakeholders. Please submit your resume, a cover letter explaining your interest in this internship, and any relevant portfolio or work samples to hr@priyaqubit.com
• Collect, clean, validate, and organize raw data from multiple sources.
• Perform exploratory data analysis (EDA) to identify trends, anomalies, and patterns.
• Design, build, and maintain interactive dashboards using tools like Power BI, Tableau, or Google Data Studio.
• Convert business requirements into meaningful visual reports and performance metrics.
• Create KPI dashboards for different teams (sales, marketing, operations, product).
• Ensure dashboards are updated daily/weekly with automated data refresh.
• Work with the team to improve data quality and pipeline processes.
• Assist in building simple data models and predictive reports.
• Prepare insights, presentations, and weekly/monthly reports for internal stakeholders.
• Support in A/B testing analysis, funnel analysis, and user behavior insights.
• Help automate repetitive data tasks using Python/SQL/Excel scripts.
• Maintain documentation for dashboards, data sources, and metrics definitions.
• Strong proficiency in Excel / Google Sheets
• Basic understanding of statistics
• Hands-on experience with SQL queries (select, joins, group-by)
• Familiarity with Python (Pandas, NumPy)
• Understanding of data visualization principles
• Ability to create clean, simple, and insightful dashboards
• Strong analytical and problem-solving skills
• Attention to detail and accuracy in reporting