Sr. Data Analyst

What you'll be doing: Perform quantitative and qualitative analysis of econometric data, relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters. Define data requirements and gather and validate information, applying judgment and statistical tests. Develop data structures to support the generation of business insights and strategy. Maintain data infrastructure and develop scripts for regular processes. Analyze data analysis requests obtained from management to determine operational problems and define data modeling requirements, validation of content, and problem solving parameters. Identify opportunities to use data to develop new strategies and improve business performance and utilize knowledge of mathematical modeling and other optimization methods to perform quantitative and qualitative data analysis. Utilize programming and analytical tools including SAS, SQL, Teradata or similar relational database tool, and Unix to formulate mathematical or simulation models. Communicate and present data to management by developing reports.

What your background should be: Must have the following skill set, through education or work experience. Quantitative and qualitative data analysis; data modeling; developing reports; Teradata, Essbase, or similar relational database tool; SQL; SAS; UNIX programming. Must pass company assessment.

Required Schooling / Training: Master degree or foreign equivalent in economics, finance, engineering, mathematics, science, information technology, business administration or a related quantitative analytical field.

Who is the client company: This is an American bank holding company specializing in credit cards, home loans, auto loans, banking and savings products.; If you are interested in this position, send your resume to apply@kochdavis.com