Data Analyst

• Strong proficiency in Python for data analysis (Pandas, NumPy).
• Solid knowledge of SQL for querying relational databases.
• Experience using Generative AI tools (ChatGPT, Claude, Gemini, etc.) for analytics, automation, or productivity.
• Experience with data visualization libraries (Matplotlib, Seaborn, Plotly).
• Understanding of data cleaning, transformation, and exploratory data analysis (EDA).
• Strong analytical thinking and problem-solving skills.

You'll need to appear for the challenge assessment to move to the further rounds. Top performers will be selected for further rounds.

Please register at: https://p.hck.re/datam

• Analyze large datasets using Python (Pandas, NumPy) to identify trends and insights.
• Write and optimize SQL queries to extract and analyze data from databases.
• Use Generative AI tools (LLMs, AI assistants) to automate data exploration, summarization, and reporting.
• Build scripts and workflows in Python to automate data processing and analysis tasks.
• Develop data visualizations and dashboards using Python libraries (Matplotlib, Seaborn, Plotly) or BI tools like Tableau/Power BI.
• Work with product, marketing, and business teams to define metrics and support data-driven decisions.
• Perform data cleaning, transformation, and validation to ensure data quality.
• Assist in building AI-assisted analytics workflows and experiment with new GenAI-powered tools.