
Data Analyst(ETL, Data Models, Data Mapping, Big Data, BI)
3 days ago
* Bachelor's degree in Data Science, Statistics, Economics, Finance, Computer Science, or a related field.
* 2–5 years of experience as a Data Analyst, preferably within banking or financial services.
* Strong understanding of corporate banking products (loans, deposits, trade finance, treasury, payments).
* Hands-on experience with data modeling techniques (e.g., star/snowflake schema, ER diagrams) and data mapping across systems.
* Proficiency in ETL tools and processes, and experience working with structured and semi-structured data.
* Familiarity with statistical analysis tools (Python, R) and SQL for data querying and transformation.
* Knowledge of risk, compliance, and regulatory frameworks in banking (e.g., Basel, AML, KYC).
* Excellent communication skills to translate technical data into business insights.
Preferred Attributes:
* Experience with data warehousing and big data platforms (e.g., Snowflake, Hadoop, Spark).
* Exposure to machine learning techniques for credit scoring, risk modeling, or client segmentation.
* Strong business acumen with the ability to link data insights to revenue, cost, and risk metrics.
* Experience with BI tools (e.g., Power BI, Tableau) for dashboarding and visualization.
* Ability to work effectively in cross-functional teams within a fast-paced banking environment.
Tell employers what skills you haveTableau
Machine Learning
Modeling
Big Data
Data Modeling
Hadoop
Business Acumen
ETL
SQL
Python
Banking
Statistics
Data Science
Visualization
Power BI
Data Warehousing
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