Conduct data engineering and analysis tasks to meet business requirements and maximize effectiveness.
Basic understanding of technical aspects of data management functions including creating, collecting, loading, transforming, cleansing, processing, storing, analyzing, and visualizing data.
Work directly or in support of data science/analytics to design, develop, test and integrate data from various sources into large-scale processing systems and databases to use in providing insights that solve business needs.
With guidance, develop productivity skills by learning resource control, editors, the build system and other tools as well as automated testing best practices.
Qualifications:
Bachelor's degree plus 1-3 years related work experience or a Master's in a related field.
Knowledge of financial services products and processes preferred.
Ability to work directly with data and datastores through programming language such as SQL, Python, Java, etc.
Experience with a variety of data modeling techniques and data structures.
Ability to optimize data for analytics and data science.
Experience building/operating systems for data extraction, ingestion and processing of large data sets.
Knowledge and direct experience using business intelligence reporting tools.
Experience building data products incrementally and integrating and managing datasets from multiple sources.
Basic planning, organizational, problem-solving, analytical, decision-making and communication skills required. Basic leadership skills preferred.
Excellent time management skills preferred.
Ability to collaborate with others required.
Must be able to effectively communicate strategies and designs to all levels of the company.
Must be able to maintain a high degree of accuracy and confidentiality.