Bachelors or higher degree in Information Systems, Accounting, Finance, Statistics, Mathematics, Economics, Engineering, or related field willing to accept foreign education equivalent plus one year of experience developing data analysis and quantitative modeling structures within technical environments, including Tableau, Power BI, SAS, R and Python. Experience must include one year of working with the IT team to identify and extract data from ERP systems, including SAP, and thirdparty actuarial systems; developing SQL, SAS, Trifacta, and R scripts and queries, and running scripts to join multiple data sets and verify for completeness and accuracy; developing and testing algorithms that provide more efficient and extensive population coverage and designing and supporting data visualization dashboards to accompany financial results, findings, and published reports; developing queries and test scripts aimed at identifying transactional and operational patterns and emerging risks; designing descriptive statistical data analysis using mean, variance, regression analysis, cluster analysis, standard deviation, correlations, and time series analysis; utilizing standard industry datasets to perform statistical analysis of financial data; transforming and loading both structured and unstructured data using SAS, R, and Python into various analytic tools; and building Tableau dashboards to identify trends, outliers, and changes of transactions at a flexible granularity. Position requires approximately 25 travel.br From H.10B due to character limitation experience developing data analysis and quantitative modeling structures within technical environments, including Tableau, Power BI, SAS, R and Python.
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