Job highlights

- Were looking for an AI-native Analytics Intern who thinks in data and works with AI tools as a natural extension of how they operate

- Prior internship,project or self-driven data analysis work is a plus

Job Summary

Were looking for an AI-native Analytics Intern who thinks in data and works with AI tools as a natural extension of how they operate. Youll work closely with business and product teams to turn raw data into clear, actionable insights - using AI to move faster, automate the repetitive parts of analysis, and get to the "so what" quicker.

What You Will Do

- Pull, clean and analyse data using SQL and Excel/Google Sheets to answer business questions from stakeholders.

- Build and maintain dashboards and reports (Tableau/Power BI/Looker) for real-time visibility into key metrics.

- Use AI tools (ChatGPT, Claude, Perplexity, Copilot, etc.) to speed up data exploration, write/debug SQL and Python, and automate repetitive analysis.

- Partner with Product, Operations and Business teams to understand problems and translate data into recommendations.

- Conduct ad-hoc deep-dives - funnel analysis, cohort analysis, trend analysis - to support decision-making.

- Identify patterns, anomalies and opportunities in data proactively.





- Document analysis clearly so findings are reusable for the team.

- Explore new AI tools and workflows that make the analytics process faster or sharper.

What Were Looking For

- Pursuing or recently completed a degree in a quantitative field - Statistics, Economics, Engineering, Math, Computer Science, or similar.

- Genuinely AI-native - uses AI tools daily as part of how you think and work. Comfortable prompting, iterating, and critically evaluating AI outputs.

- Working knowledge of SQL; basic Python (Pandas) is a strong plus.

- Comfortable with Excel/Google Sheets - pivot tables, formulas, basic modelling.

- Robust problem-solving instincts - curious by default, asks "why" before jumping to "how".

- Ability to communicate data clearly to non-technical stakeholders.

- High ownership and comfort working in a fast-paced, ambiguous startup environment.

- Prior internship, project or self-driven data analysis work is a plus.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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