🛠 Tech Stack

💼 About This Role

You'll join a builders program blending data analysis and engineering to turn raw data into trustworthy, well-modeled datasets. Your core impact is enabling self-serve analytics and AI-ready data products across the company.

🎯 What You'll Do

• Model and transform data building clean, reusable fact and dimension tables.
• Define, document, and align business definitions for key metrics.
• Answer ad-hoc questions with clear analysis and explainable methodology.
• Write basic tests, checks, and monitoring for key datasets and critical metrics.

📋 Requirements

• Fresh graduate or 1 year of relevant experience (internships count).
• Solid SQL fundamentals including joins, aggregations, basic window functions.
• One programming language for analysis (preferably Python) with data manipulation skills.
• Strong analytical thinking: define problems, form hypotheses, validate data, explain results.

✨ Nice to Have

• Exposure to data modeling concepts (star schema, slowly changing dimensions).
• Familiarity with modern analytics stacks (dbt, BigQuery, Snowflake, Looker, PowerBI, Tableau).
• Experience with AI assistants to accelerate analysis or analytics engineering work.

🎁 Benefits & Perks

• 🚀 Career accelerator program with real responsibility from day one.
• 👥 Mentorship from leaders who expect excellence.
• 🌍 Impact millions of fintech users across the region.
• 🤝 Collaborate with high-caliber peers in Product, Engineering, and Design.
• 🎓 Learning opportunity: use AI tools responsibly while owning correctness.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Assessment· 60 min
3. 3Hiring Manager Interview· 45 min