WEALTH MANAGEMENT

Across Wealth Management, Goldman Sachs helps empower clients and customers around the world to reach their financial goals. Our advisor-led wealth management businesses provide financial planning, investment management, banking and comprehensive advice to a wide range of clients, including ultra-high net worth and high net worth individuals, as well as family offices, foundations and endowments, and corporations and their employees. Our consumer business provides digital solutions for customers to better spend, borrow, invest, and save. Across Wealth Management, our growth is driven by a relentless focus on our people, our clients and customers, and leading-edge technology, data and design.

YOUR IMPACT

We are seeking an experienced Data Analyst for our Reporting Data Analytics Team within the Asset & Wealth Management department.

QUALIFICATIONS

• Prior experience must include 3+ years of experience with the following:
• Proficiency in SQL, Python (bonus) and data visualization tools (i.e. Tableau, Power BI)
• Familiarity with cloud platforms (i.e. Snowflake, AWS) and data management best practices
• Prior experience in data governance, data quality and data privacy compliance
• Strong analytical, problem-solving skills with a strategic mindset and attention to detail
• Ability to work in fast-paced environment, managing multiple priorities and stakeholders
  Excellent communication and presentation skills with the ability to translate complex data into actionable insights (i.e. understood by non-technical users) that are aligned to business objectives and commercial impact
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• Collaborate with the marketing, data engineering, analytics, and product teams to define and implement key data initiatives, analytics projects and define measurement frameworks aligned with business goals and objectives
• Support the migration of data assets and processes to cloud platforms like Snowflake and AWS, ensuring security, scalability, and seamless adoption
• Work with business functions and cross-divisional stakeholders (e.g., technology, operations, tech risk and vendor management) to drive and track resolution of regulatory, audit, and senior management commitments, assisting with problem-solving to remove roadblocks where required.
• 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)
• Assist in developing data governance practices, including data quality control, data stewardship and compliance with regulations
• Develop processes and tools to identify and monitor data accuracy and model performance.
• Build and maintain dashboards and reports for key stakeholders to monitor data trends and business metrics holistically
• Utilize SQL, Python, Tableau, Alteryx and other analytical tools to extract, process and model data to fulfill business use case requirements