Goldman Sachs Bank USA is looking to solve business strategy problems across pricing, marketing, and customer experience by analyzing and interpreting large datasets
Requirements
- SQL
- Python
- data visualization tools, such as Tableau or Power BI
- cloud platforms, such as Snowflake or AWS
- data management best practices
- data governance, data quality, and data privacy compliance
- machine learning
Responsibilities
- Analyze and interpret large datasets to provide insights and recommendations that support business strategy across pricing, marketing, and customer experience (website, app, and contact center)
- Build and maintain dashboards and reports for key stakeholders to monitor data trends and business metrics holistically
- Utilize SQL, Python, and other analytical tools to extract, process, and model data to fulfill business use case requirements
- Monitor industry trends and advancements in data technologies and participate in predictive modeling (machine learning) to enhance business intelligence, forecasting capabilities and increase operational efficiency
- Support the migration of data assets and processes to cloud platforms like Snowflake and AWS
- Assist in developing data governance practices, including data quality control, data stewardship, and compliance with regulations
- Collaborate with marketing, data engineering, pricing analytics, and product teams to define and implement key data initiatives, analytics projects and define measurement frameworks aligned with business goals and objectives
Other
- Master’s degree (U.S. or foreign equivalent) or Bachelor’s degree (U.S. or foreign equivalent) in Management Information Systems, Business Analytics, Data Science, Computer Science, or a related field
- one (1) year of experience (with a Master’s degree) or three (3) years of experience (with a Bachelor’s degree) in the job offered or in a related role
- presenting and communicating complex data into actionable insights tailored for non-technical audiences, ensuring alignment with business objectives and commercial impact
- collaborating across various teams within a bank or financial institution, fostering relationships with stakeholders in finance, risk, and IT
- prior employment must include experience with presenting and communicating complex data into actionable insights tailored for non-technical audiences
