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Description:
The Data Engineer Analyst will be responsible for the intake, validation, and management of large datasets used for risk modeling and financial analysis.
This role will ensure the integrity and security of the data, collaborating closely with the Data Team Lead and other departments.
The Data Engineer Analyst will play a critical role in ensuring that the data used in credit risk models and financial planning is accurate, reliable, and well-organized for analysis.
Essential functions include maintaining and updating databases that store key financial and operational data, ensuring that data is structured efficiently for use in credit risk models and financial forecasting.
The analyst will collaborate closely with cross-functional teams, especially the econometric analysts and data engineers, to ensure that data flows smoothly between departments.
The role involves managing the collection and intake of large datasets from various sources and ensuring the accuracy and integrity of incoming data by conducting thorough validation checks.
The analyst will provide accurate data to the econometric analysts and assist in transforming raw data into valuable insights for risk models and forecasting reports.
Requirements:
100% fluency in English, with exceptional English verbal and written communication skills is required.
A Bachelor’s degree in Data Engineering or Finance is necessary.
A minimum of 2 years of experience in data engineering, finance, or related roles is preferred.
Familiarity with data security practices is preferred but not mandatory.
Advanced SQL skills are required.
Excellent communication skills are necessary to work effectively with cross-functional teams.
Experience with Microsoft Office applications, including Outlook, Excel, Word, PowerPoint, and Teams is required.
Benefits:
This is a Contract (Contractor)/Consultant position.
Compensation will be determined based on experience (DOE).