You will analyze and process data from various sources, including data warehouses and unstructured datasets.
Responsibilities
Query and analyze data using various languages and platforms.
Develop and utilize AWS services to support data workflows.
Work with structured and unstructured data formats.
Implement data analysis solutions using scripting languages.
Required Skills
3+ years of experience in querying, analyzing, and working with data languages and platforms.
3+ years of experience in at least one scripting language.
Scripting proficiency in Python, R, Spark, and SQL.
1+ year of experience utilizing a business intelligence visualization tool.
Experience working with data warehouses and unstructured data.
Experience utilizing and developing AWS services.
Bachelor’s Degree in a Science, Technology, Engineering, or Mathematics discipline (or currently in progress) with 5+ years of data analytics experience, or a Master’s Degree with 3+ years of experience, or a PhD.
Preferred Skills
Master’s Degree in a STEM discipline.
4+ years of coding in Python, R, Spark, or SQL.
4+ years of experience with Agile, Lean, or Six Sigma methodologies.
2+ years of experience developing AWS services.
2+ years of experience in Data Governance and Data Quality Management within financial services.