The Goldman Sachs Group, Inc. is a leading global financial institution that delivers a broad range of financial services across investment banking, securities, investment management and consumer banking to a large and diversified client base that includes corporations, financial institutions, governments and
Preferred Qualifications:
Graduate or Undergraduate degree in Computer Science, Statistics, Math, or Engineering
Experience in gathering and documenting requirements with full testing traceability.
Experience in predictive analytics using tools such as Alteryx, Tableau
Create and maintain ETL processes using a vast array of tools.
RESPONSIBILITIES AND QUALIFICATIONS:
HOW YOU WILL FULFILL YOUR POTENTIAL
Prepare to gain a comprehensive understanding of the trade lifecycle by interacting with the business, middle office, and engineering teams in order to work toward a shared goal.
Manage a team of developers using the Agile project management methodology.
Leverage your innovative skills to identify ways to continually improve processes Mitigate risk for the firm and our clients by securely delivering data to stakeholders!
Partner with engineering teams to develop scalable business processes to support our clients Development of BI solutions across GMC using capabilities such as Alteryx, SQL, Tableau, and R/Python
Manage prioritization and stakeholder engagement to maximize delivery towards established business goals.
Basic Qualifications:
Minimum of 1 years of experience in Business Intelligence/Digital Transformation
Analytical, self-motivated, detail-oriented with strong problem-solving skills.
Ability to work within a high-risk environment and meet challenging deadlines and targets.
Ability to communicate clearly with end users, development managers and other stakeholders.
Proficient in prescriptive analytics using tools such as Alteryx.
Proficient in db. query languages such as SQL
Proficient in Data Visualization with tools such as Tableau
Experience with using multi-dimensional data modeling/data warehousing for data analytics and reporting.
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