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Senior Data Analyst
2 weeks ago
Job Title: Senior Data Analyst - Trade Finance
We are seeking a skilled data analyst to join our operations team. The ideal candidate will be responsible for analyzing user correction logs, preprocessing raw data, and collaborating with business users to understand operational logic.
- Analyze user correction logs by extracting and consolidating data from ClearTrade and vendor systems to identify trends and patterns.
- Preprocess raw data by document type and field to support validation and deeper analysis.
- Work closely with operations teams to understand the root causes of corrections and develop strategies to improve efficiency.
- Classify corrections into categories such as necessary (for ML training) or unnecessary (potential rule improvements).
- Summarize findings in clear, actionable formats for both vendor and user feedback.
- Collaborate with business users to understand operational logic and intent behind correction patterns.
- Coordinate with vendors to share insights and recommend improvements to machine learning or rule-based systems.
- Maintain comprehensive documentation of analysis progress and decision rationales.
- Provide regular updates, issue logs, and recommended action plans to senior stakeholders.
- Bachelor's degree in any field.
- Familiarity with Trade Finance processes and documents (e.g., L/Cs, invoices, shipping documents).
- Minimum 3 years' experience in data analysis, preferably in banking/financial services.
- Ability to handle and interpret large data sets, especially operational or system log data.
- Proficient in English (written with excellent interpersonal skills to liaise with stakeholders).
- Excellent stakeholder engagement, problem-solving, and analytical thinking.
- Experience working with AIOCR systems or trade finance automation tools is a plus.
About the Role
The successful candidate will have excellent analytical and problem-solving skills, with the ability to communicate complex ideas clearly to stakeholders. If you are a detail-oriented individual who enjoys working with data, we encourage you to apply for this exciting opportunity.