Data Analyst

About the Role

We are looking for a Data Analyst with strong Python skills and exposure to Generative AI tools to help analyze data, automate workflows, and generate insights for business teams. The ideal candidate should be comfortable working with large datasets, building data pipelines, and leveraging GenAI tools and APIs to enhance data analysis and reporting.

Key Responsibilities

• 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.

Required Skills

• 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 would need to appear for the challenge assessment to move to the further rounds. Top performers will be selected for further rounds.

We are redirecting you to the challenge site, where we are hiring through an on-going data challenge. The challenge is based on a mix of analytics and vibe coding!