Remote Data Engineer Analyst @ World Business Lenders, LLC
Your Application Journey
Email Hiring Manager
Job Details
About Remote Data Engineer Analyst
World Business Lenders (WBL) provides general purpose short-term real estate collateralized commercial loans to small and medium sized businesses across the United States that lack access to traditional funding. This is a remote Contract/Consultant position with working hours from 9:00am-6:00pm Eastern Time, Monday through Friday.
Job Description
The Remote Data Engineer Analyst is responsible for the intake, validation, and management of large datasets used for risk modeling and financial analysis. The role ensures the integrity and security of data by collaborating with the Data Team Lead and various departments. The position is critical in providing accurate and reliable data for credit risk models and financial forecasting.
- Transform and analyze data from multiple sources.
- Maintain and update key financial and operational databases.
- Collaborate with econometric analysts and data engineers.
- Validate incoming data to ensure accuracy and integrity.
- Support risk models and forecasting reports with clean data.
Essential Requirements
Must be 100% fluent in English, with exceptional oral and written skills. Hold a Bachelor's degree in Data Engineering or Finance and have at least 2 years of related experience. Proficiency in Python, SQL, and Excel is required (testing will occur). Experience with Microsoft Fabric is preferred, and familiarity with Microsoft Outlook, Excel, Word, PowerPoint, and Teams is necessary. Candidates must supply their own computer equipment.
Key skills/competency
- Data Transformation
- Data Validation
- Risk Modeling
- Financial Analysis
- Python
- SQL
- Excel
- Database Management
- Microsoft Fabric
- Remote Work
How to Get Hired at World Business Lenders, LLC
🎯 Tips for Getting Hired
- Research World Business Lenders: Explore their mission and team culture.
- Tailor your resume: Highlight data engineering and finance skills.
- Prepare for technical tests: Practice Python, SQL, and Excel.
- Showcase communication skills: Emphasize English proficiency in application.