Data Analyst

Candidates should have coursework or relevant training in data analytics, programming, or computing systems, along with proven problem-solving and analytical abilities including pattern detection, root cause analysis, and issue resolution. Experience with Python, pandas, SQL, and relational database systems is required, as is an interest in programming and data analysis/data science. A degree in a technical field is necessary, and preferred qualifications include experience in data operations with proven process improvement skills, an understanding of the software development process and hands-on coding exposure, experience in exploratory data analysis and applied statistics, and familiarity with Linux. While financial industry experience is a plus, critical thinkers passionate about technology and data are encouraged to apply.