Data Analyst Internship

Responsibilities of the Intern: • Assist in collecting, cleaning, and structuring large datasets from internal and external sources. • Support business and product teams with data-driven insights. • Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies. • Contribute to dashboards and reports used by leadership for decision-making. • Work with data engineers and developers to improve data quality and reliability. • Prepare visualizations that simplify complex information for non-technical stakeholders. • Participate in regular standups, sprint planning, and documentation tasks. • Support A/B testing, user behavior analysis, and performance metrics tracking. • Clean and preprocess raw data using Python, SQL, or analytical tools. • Build and maintain dashboards in tools like Power BI, Tableau, or Looker Studio. • Write efficient SQL queries to answer business questions. • Automate repetitive data tasks (reports, daily metrics). • Analyze KPIs such as user engagement, retention, campaign performance. • Document datasets, schemas, data flows, and analysis results. • Ensure data accuracy, consistency, and security across systems. • Collaborate with cross-functional teams (tech, product, growth, marketing). Requirements: • Strong knowledge of Python (Pandas, NumPy) or R for data manipulation. • Hands-on SQL experience (PostgreSQL preferred). • Understanding of statistics, probability, and analytical concepts. • Ability to create charts, dashboards, and reports. • Good Excel/Google Sheets skills. • Ability to translate data outcomes into insights. • Strong attention to detail and problem-solving skills. • Knowledge of ETL pipelines and data warehousing concepts. • Familiarity with APIs and JSON data structures. • Experience with Git, version control, JIRA/Notion, or Agile methodologies. • Understanding of machine learning basics (regression, clustering, classification). • Knowledge of tools like Matplotlib, Seaborn, Plotly, or Power BI.