CWM-Marcus by Goldman Sachs- Digital Storefront, Analytics- Associate- New York

Location(s) US-NY-New York
Job ID
Schedule Type
Full Time
Consumer Banking
Consumer and Wealth Management
Business Unit
Employment Type


Consumer and Wealth Management (CWM)

Across Consumer and Wealth Management (CWM), Goldman Sachs helps empower clients and customers around the world 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 consumers to better spend, borrow, invest, and save. Across CWM, our growth is driven by a relentless focus on our people, our clients and leading-edge technology, data and design.



The firm’s Consumer business, Marcus by Goldman Sachs, combines the entrepreneurial spirit of a startup with more than 150 years of experience. Today, we serve millions of customers across multiple products including lending, deposits, financial tools, and our partnership with Apple on Apple Card. We use innovative design, data, engineering and other core capabilities to provide customers with powerful tools and products that are grounded in value, transparency and simplicity. As we build a leading digital consumer bank and expand into new products and partnerships, we are looking for leaders and individual contributors to join our team.


The Marcus by Goldman Sachs team is seeking a consumer-centric, analytically-minded, creative and energetic Associate to join the Digital Storefront Analytics team. In this role you’ll apply your consumer financial services industry experience and digital analytical skill sets to drive analytics strategy, data infrastructure, model development and analysis to increase growth, adoption and engagement of our digital products and personal financial management tools.



  • Analyze clickstream and customer data to gain an in-depth understanding of customers’ digital footprint and behaviors. Conduct quantitative and qualitative research to understand customer needs. Partner cross-functionally with internal stakeholders and vendors to drive commercial impact for the business by creating best in class customer experiences that foster customer engagement, multi-product adoption and retention on site and in mobile apps.
  • Develop the measurement framework and dashboards to track the success of our digital experiences and personal financial management tools, monitoring and improving KPIs and operational performance metrics and researching business and industry trends to set benchmarks.
  • Perform advanced analytics and provide subject matter expertise on consumer financial behavior; net worth, spending, saving, investing, retirement savings, lending, multi-product adoption, retention etc. to drive customer engagement and stronger customer relationships with the Marcus brand and products
  • Develop the customer segmentation and framework to measure the lifetime value of customers engaging with various digital and financial products
  • Assist with the evaluation and monitoring of A/B tests as part of our test and learn strategies to continue improving and deliver a best in class digital customer experience through our website and mobile apps. Must possess the ability to demonstrate statistical significance testing
  • Develop automated reporting/measurement, advanced tools and models to gain customer insights, draw conclusions and work with business partners, product managers and engineers to put those insights into action
  • Work closely with business partners, technology and data engineering teams to evaluate new and alternate data sources as well as analytical tools

Basic Qualifications

  • 4+ years of experience with analytics, metrics and reporting in the financial services industry; consumer banking
  • Bachelor or Advance degree in quantitative areas like Applied Math, Statistics, Economics, Engineering, Computer Science or related disciplines
  • Strong quantitative and analytical skills and experience in working with large data sets and Big Data tools and stack (e.g., SQL, Snowflake, Hadoop, etc.).
  • Experience with Tableau, Power BI or similar data visualization tools

Preferred Qualifications

  • Experience with one or more modeling tools (R, Matlab, Octave, SPSS, SAS) and one or more mainstream programming language (Python, Java, C, Scala, C++, etc.)
  • Prior experience developing data driven strategies in a consumer business or with B2C marketing analytics
  • Strong project management skills; self-driven; ability to work independently and cross-functionally
  • Demonstrate an ability to effectively communicate and present results highlighting the broader commercial and strategic impact
  • Competitive spirit with the ability to lead, motivate, and build relationships with internal stakeholders


At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more:

© The Goldman Sachs Group, Inc., 2021. All rights reserved.
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity