The organization needs to support its data-driven initiatives by collecting, cleansing, and organizing data, building and maintaining data pipelines, assisting with basic data engineering tasks, and developing dashboards to provide operational insights across various departments. The goal is to interpret trends, monitor performance metrics, and support compliance and reporting needs through data accuracy, visualization, and foundational engineering support.
Requirements
- Basic knowledge in data manipulation and analysis using tools such as SQL, DAX, Python, R, or SAS.
- Experience with data visualization tools such as Power BI or similar.
- Experience in Microsoft Azure or similar cloud servicing tool.
- Experience with Microsoft Power Suite offerings.
Responsibilities
- Collect, cleanse, and organize data from various sources, including transaction records, customer databases, market data, and third-party sources.
- Ensure data accuracy, completeness, and integrity through quality controls checks and daily integration monitoring.
- Develop and maintain data repositories and databases for efficient storage and retrieval of information.
- Assist in organizing and maintaining data repositories and basic data pipelines.
- Perform exploratory data analysis to identify trends, patterns, and correlations in banking data.
- Develop and maintain non-complex operational and financial dashboards.
- Provide ad hoc reports to various departments based on defined business needs.
Other
- Bachelor's or Master's degree in a quantitative field such as Data Analytics, Data Science, Economics, Finance, or related field.
- Strong attention to detail and problem-solving skills.
- General understanding of banking products and services.
