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Job Description
What role you will play in team: You will be a key member of the data analytics team responsible for supporting credit risk management by providing insightful data analysis and reporting. Your work will directly influence credit risk strategies and decision-making processes.
What you will do: You'll extract, clean, and analyze large datasets to identify trends, patterns, and potential risks. You'll develop visualizations and reports to communicate your findings effectively to stakeholders.
Key responsibility:
- Extract, transform, and load (ETL) data from various sources.
- Perform statistical analysis and data mining to identify credit risk trends and patterns.
- Develop and maintain data visualizations and dashboards.
- Prepare regular reports summarizing key risk indicators and insights.
- Collaborate with credit risk managers to inform risk management strategies.
- Maintain data quality and accuracy.
Required Qualification and Skills:
- Bachelor's degree in statistics, mathematics, computer science, or a related field.
- 1-2 years of experience in data analysis (preferred).
- Proficiency in SQL, Python or R, and data visualization tools (e.g., Tableau, Power BI).
- Strong analytical and problem-solving skills.
- Excellent communication and presentation skills.
- Experience with large datasets and data manipulation techniques.
Benefits Included:
- Competitive salary and benefits package.
- Opportunities for professional development and training.
- Collaborative and innovative work environment.
- Work-life balance.
A Day in the Life: A typical day involves querying databases, cleaning and transforming data, performing statistical analysis, creating visualizations, and presenting your findings to stakeholders.
Skills
Data AnalysisSQLPythonRData Visualization (TableauPower BI)Data MiningETL ProcessesIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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