Analyst

Description

We are seeking an Analyst to join our team. The primary function of this role is to enhance our business applications, particularly in the area of anti-money laundering, through the development and implementation of Business Intelligence and data analysis strategies. Given the nature of the industry, the Analyst will also be expected to engage in data mapping, data quality issues, and utilize various tools for data validation.

Responsibilities:

Improve business performance and efficiency through the creation and automation of new reports using Business Intelligence and data visualization tools.

Engage in constructive interaction with business users and technical teams to gather business/data requirements.

Analyze and review data flow diagrams and activity diagrams using various tools.

Implement strategies for enhancing anti-money laundering (AML) applications and other business applications.

Utilize SQL Server, Excel, Python, and ETL for data validation.

Conduct statistical analyses to summarize and describe data sets, including mean, median, mode, and distribution analysis.

Design and implement complex statistical models to analyze transaction patterns and derive actionable insights and recommendations.

Develop, update, and optimize stored procedures for compliance systems using T-SQL.

Identify and support problem resolution related to project requirements and issues reported at all levels.

Participate in project status meetings, providing regular updates to the project team.

This role offers an exciting opportunity to contribute to special projects and internal initiatives, such as drafting articles and conducting compliance research.

Requirements

Proficiency in SQL Server is required for data manipulation and analysis.

Advanced Excel skills for data management and visualization.

Demonstrated ability in Python for programming and data analysis.

Experience with ETL (Extract Transform Load) processes for effective data integration.

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