Data Analyst
✨ AI Summary
The Data Analyst will play a crucial role in supporting reconciliation and operational tasks across various financial platforms, partners, and payment channels. This position emphasizes the analysis of transaction data to detect discrepancies, enhance reporting precision, and streamline operational and reconciliation processes. The ideal candidate should possess strong analytical skills, attention to detail, and a proactive approach while thriving in a dynamic fintech setting characterized by high transaction volumes and diverse stakeholders.
Main Responsibilities:
- Conduct daily reconciliation analysis across bank accounts, mobile money platforms, and partner statements.
- Investigate transaction discrepancies, unmatched items, and operational exceptions.
- Monitor transaction flows to identify patterns and risks.
- Prepare various reports for management, including reconciliation and operational reports.
- Assist Finance and external partners in resolving transaction issues.
- Maintain accurate records and support audits with reconciliation data.
- Develop automation tools and dashboards using Python, SQL, or similar technologies.
- Contribute to initiatives aimed at process optimization.
Qualifications:
- Degree in Software Engineering, Data Science, Finance, or a related field.
- Experience with Python, SQL, and data automation tools.
- Familiarity with financial operations and transaction flows.
- Preferred experience in fintech or banking environments.
- Excellent analytical and organizational skills.
- Able to manage multiple priorities effectively.
How to Apply:
If interested, please fill out the application form. We welcome candidates from diverse backgrounds and would love to hear from you!