Global Banking & Markets - Salt Lake City - Associate, Data Analytics - 8007858

Job Duties: Associate, Data Analytics with Goldman Sachs & Co. LLC in Salt Lake City, Utah.  Analyze data trends, create actionable insight and optimize decision making processes through advanced data interpretation. Execute quality assurance programs. Handle large data sets synthesizing a variety of information to summarize a profile. Deliver and enhance measurable, impactful business outcomes and products. Process redesign and execute strategic concepts from unstructured inception to detailed implementation. Design tests for data quality, lineage and controls across a range of products, business lines and processes, including both manually and systematically created data. Develop methodologies to define test scripts, execute tests, including frequency, sampling, evidencing, and follow-up actions which integrate with the broader divisional risk management framework and datasets. Partner with developers and low code specialists to develop tooling to support test execution, recordkeeping and reporting architecture. Execute test suites using manual and automated techniques, and integrate results into the broader risk management framework, including control enhancements and risk assessments.

Job Requirements: Master’s degree (U.S. or foreign equivalent) in Data Analytics, Business Analytics, Mathematics, or related analytical field, such as Finance or Business Administration, and one (1) year of experience in the job offered or in a related role OR Bachelor’s degree (U.S. or foreign equivalent) in Data Analytics, Business Analytics, Mathematics, or related analytical field, such as Finance or Business Administration, and three (3) years of experience in the job offered or in a related role. Prior experience must include one (1) year (with a Master’s) or three (3) years (with a Bachelor’s) in the following: working on data analytics and reporting capabilities over various reporting platforms and tools; working with data models, data marts including creating and implementing reporting architecture; developing and maintaining Tableau Dashboards to display data and metrics to the Firm and stakeholders; developing and maintaining technical workflows; developing and maintaining process flow to build technical data process flow applications; and building Algorithms to build predictive analysis based on historical data.

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