Data Analyst

- Employment Type: Full-time
- Work Arrangement: Hybrid
- Department: Analytics
- Level: Associate
- Posted: June 4, 2026
- The recruitment process aims to respond to applicants within 5 business days after application submission.

- Build a working understanding of how the whole business operates, what drives revenue, cost, customer behavior, and risk.
- Partner primarily with Product, Marketing, and Finance teams on analyses, dashboards, and recurring reporting.
- Translate stakeholder requests into structured analytical problems, with guidance when needed.
- Deliver findings as clear narratives with supporting recommendations.
- Help prepare data, charts, and supporting analysis for investor updates and board-level reports.
- Work under the Senior Analyst's supervision to ensure accuracy and consistency in numbers that reach external audiences.
- Build the habit of double-checking, cross-referencing, and clearly documenting assumptions in high-visibility work.
- Over time, move from reactive request-taking to proactively surfacing insights and opportunities.
- Follow team standards for SQL, documentation, and analysis.
- Participate in peer reviews, learn from the Senior Analyst, and share what you're learning across domains.

- 1–4 years of hands-on Data Analyst experience, ideally with exposure to multiple business functions.
- Solid SQL skills. Able to write clean queries against large datasets and comfortable with joins, window functions, and CTEs. BigQuery experience is a plus.
- Business curiosity: Understands business goals and context before diving into data or execution.
- Strong stakeholder management: Communicates effectively across teams, asks the right questions, and collaborates with diverse stakeholders.
- Curious and adaptable: Comfortable working across different business areas and learning new domains.
- Clear communication: Able to present insights and recommendations in a simple and understandable way for both technical and non-technical audiences.
- Detail-oriented and accurate: Ensures data accuracy, validates assumptions, and maintains high standards for reporting and analysis.
- Proficiency in a modern BI tool (Metabase, Looker, or equivalent) and spreadsheets.

Curriculum Vitae (CV)/Resume.
Educational qualification (minimum S1)