Job Duties: Senior Associate, Data Analytics with Goldman Sachs & Co. LLC in New York, New York. Develop and implement high-quality Business Intelligence (BI) and analytics solutions. Design, develop, and maintain scalable data pipelines and business processes. Utilize multidimensional data modeling and data warehousing techniques to support advanced data analytics and reporting. Perform data extraction, transformation, and loading (ETL) by writing and optimizing complex queries in database languages such as SQL. Develop and deploy prescriptive and predictive analytics solutions using tools like Alteryx, Python, or R to identify process improvements, mitigate risk, and enhance operational efficiency. Create and manage interactive and insightful data visualizations and dashboards using BI tools such as Tableau and PowerBI. Gather and document business requirements, create specifications for BI solutions, and ensure full testing traceability to align with stakeholder needs. Manage project prioritization and stakeholder engagement to ensure the timely delivery of analytics solutions that align with established business goals.
Job Requirements: Master’s degree (U.S. or foreign equivalent) in Computer Engineering, Data Science, Data Analytics, Integrated Marketing, or a related field 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 Computer Engineering, Data Science, Data Analytics, Integrated Marketing, or a related field and three (3) years of experience in job offered in a related role. Prior experience must include one (1) year of experience (with a Master’s degree) OR three (3) years of experience (with a Bachelor’s degree) with: working with Business Intelligence (BI) and analytics tools; working with Extract, Transform, Load (ETL) processes; Structured Query Language (SQL); Alteryx, Python, or R; and Data visualization tools such as Tableau or PowerBI.
Salary Range: Annual base salary for this New York, New York - based position is $152,000.
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