Description:

The Data 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 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:

Candidates must have 100% fluency in English, with exceptional verbal and written communication skills.
A Bachelor’s degree in Data Engineering or Finance is required.
A minimum of 2 years of experience in data engineering, finance, or related roles is preferred.
Advanced SQL, Power BI, and VBA experience is necessary.
Familiarity with data security practices is preferred but not mandatory.
Excellent communication skills are required to work effectively with cross-functional teams.
Experience with Microsoft Outlook, Excel, Word, PowerPoint, and Teams is required.