Data Analyst Intern

As a Data Analyst Intern at our company, you will have the opportunity to gain real-world exposure in a fast-paced, data-driven environment. You will be responsible for understanding business problems, performing exploratory data analysis, building dashboards, reports, and KPIs, analyzing user and transaction data, and collaborating with cross-functional teams to drive process and product improvements. Your key responsibilities will include: - Understand business problems, define structured approaches, and propose data-driven solutions. - Perform exploratory data analysis (EDA) on large datasets to validate hypotheses. - Build and maintain dashboards, reports, and KPIs to track business performance. - Analyze user and transaction data to identify patterns, trends, and opportunities. - Conduct deep-dive analysis to detect bottlenecks, risks, and improvement areas. - Work with SQL, Python, or R for data extraction, processing, and analysis. - Collaborate with engineering, design, sales, and operations teams to drive process and product improvements. - Prepare and present analytical findings to support strategic decision-making. - Perform ad hoc analyses to address operational challenges and unblock workflows. In terms of skills and qualifications, we are looking for candidates with: - Strong analytical thinking and attention to detail. - Proficiency in Excel and SQL. - Hands-on experience with Python or R is mandatory. - Knowledge of statistics, data interpretation, and common analytical techniques. - Strong problem-solving and structured process thinking. - Ability to work independently in unstructured and fast-paced environments. - Excellent communication skills and ability to present insights clearly. This internship will provide you with the opportunity to work closely with the core team in a hyper-growth setup, gain exposure to real-world analytics projects impacting business outcomes, and be part of a collaborative, feedback-oriented, and learning-driven work environment. You will also have the chance to strengthen your skills in business intelligence, SQL, Python/R, and data visualization.,