Bachelors or higher degree in Computer Science, Information Systems, Business Administration, Data Science, 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, Excel, and SAS. Experience must include one year of working with IT team to identify and extract data from ERP systems, including SAP and third party actuarial systems; developing Python, SQL, SAS, 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; 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, box and whisker plot, correlations, and time series analysis; utilizing standard industry datasets to perform statistical analysis of financial data; communicating with external clients and teams regarding issues and results identified during analytics procedures; and applying accounting and auditing standards under US GAAP to validate and deliver analysis for risk assessment and other audit procedures evaluating entire transactional populations. Position requires approximately 10 domestic travel.br br From H.10B. due to character limitation Audit Assurance Analytics Specialist Senior or related occupation gaining experience developing data analysis and quantitative modeling structures within technical environments, including Tableau, Power BI, Excel, and SAS.
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