Data Analyst

About this role

About the role: - Conduct data analysis projects that combine SQL expertise with Python programming to extract, transform, and visualize insights - Design and build data models that support analytical and reporting needs - Create dashboards and visual representations of data that communicate findings clearly to stakeholders - Work with ETL/ELT pipelines to move and process data through systems - Apply data warehousing principles to organize and structure large datasets for efficient querying What you'll work on: - Writing complex SQL queries using joins, aggregations, window functions, and CTEs to answer business questions - Building data visualizations and interactive dashboards to support decision-making - Understanding and implementing data modeling best practices - Developing a foundation in how data flows through extraction, transformation, and loading processes - Learning to think analytically about problems and break them down into data-driven solutions What we're looking for: - Strong grasp of SQL fundamentals and ability to write queries of moderate complexity - Proficiency in Python or willingness to develop it during the internship - Understanding of data modeling concepts and basic data warehouse architecture - Analytical mindset with attention to detail and problem-solving orientation - Clear communication skills and ability to explain technical findings in simple terms - Curiosity about new tools and technologies, and readiness to learn quickly - Adaptability when requirements or priorities shift Bonus skills and knowledge: - Experience with business intelligence platforms such as Power BI, Tableau, or Qlik - Familiarity with data engineering concepts: pipelines, ingestion patterns, PySpark, and file formats like CSV, JSON, Parquet - Knowledge of lakehouse architectures and medallion layer patterns - Exposure to Databricks or cloud data platforms - Foundational understanding of machine learning, large language models, embeddings, vector databases, retrieval-augmented generation, prompt engineering, or AI agent design - Hands-on experience with Git or other version control systems Eligibility: - Bachelor's degree in technology (B.Tech), Master's in technology (M.Tech), or Master of Computer Applications (MCA) - Expected graduation in 2026 - No active academic backlogs - Minimum cumulative GPA or percentage of 60% across all semesters