Since 2011, General Assembly has transformed tens of thousands of careers through pioneering, experiential education in today’s most in-demand skills. As featured in The Economist, Wired, and The New York Times, GA offers training in web development, data, design, business, and more, both online and at campuses around the world. Our global professional community boasts 40,000 full- and part-time alumni — and counting. In addition to fostering career growth for individuals, GA helps employers cultivate top tech talent and spur innovation by transforming their teams through strategic learning. More than 21,000 employees at elite companies worldwide have honed their digital fluency with our corporate training programs. GA has also been recognized as one of Deloitte’s Technology Fast 500, and Fast Company has dubbed us leaders in World-Changing Ideas as well as the #1 Most Innovative Company in Education.


The Learning Experience Architect designs in-person learning experiences and blended learning strategies for high-value clients, provides consultative product expertise to the sales process, and contributes to the ongoing discovery, development and delivery of new, scalable learning products for business. The ideal candidate is experienced in client management, passionate about educational training, familiar with corporate environments, and has the technical capabilities to partner with our sales team in scoping the right data analysis/data science solutions for clients.

As a part of your role, you’ll be leading working sessions with prospects to scope out learning needs, as well as partner with sales to propose recommendations for training. You’ll also be designing and developing these learning experiences -- drawing from existing materials and content, curating existing lessons and modules, partnering with data SMEs for insight into specific content areas, and/or developing new content customized to a particular industry or context. 


While you may not consider yourself a data expert, are you conversant enough in data tools to be able to speak credibly to the topic? Our ideal candidate can work with clients to determine their needs and then decide which technologies would be most relevant to cover.

Strategy + Customization

  • Work with clients and internal stakeholders to develop or refine data curriculum for client-specific training needs using sound instructional design principles.
  • Design and adapt curriculum across data products for instructor-led, synchronous/remote learning experiences.


  • 2 years of experience as an analyst, data professional, or analytics trainer in a client-facing context. Sample prior roles include: 
    • Business Intelligence Analyst
    • Data Analyst
    • Financial Analyst
    • Marketing Analyst
    • Operations Analyst
    • Data Technical Trainer
  • Has a broad understanding of the business problems analytics and data science can solve and can articulate advantages/disadvantages of different models in a corporate context
  • Working proficiency in at least two of the following: Excel, SQL, Python for exploratory data analysis
  • Strategy + Customization
    • Work with clients and internal stakeholders to develop or refine data curriculum for client-specific training needs using sound instructional design principles.
    • Design and adapt curriculum across data products for instructor-led, synchronous/remote learning experiences.

Nice to have

  • Experience using the following Python libraries: Pandas, Matplotlib, Seaborn, scikit-learn, SciPy, numpy Excel expert, and familiar with programming languages used in analyses
  • Familiarity with Microsoft Azure suite of tools for machine learning: Azure Data Studio, Azure ML Studio, Azure Cognitive Services
  • Comfort using git and GitHub for instrumenting workflows
  • Understands the basics of SQL and SQL servers
  • Demonstrated ability to develop data training in an enterprise context with legacy systems and disparate data sources
  • Demonstrated ability to identify technical dependencies/hurdles early on when developing training
  • Knowledge of Tableau or Qlik
  • Knowledge of databases, database administration, or data engineering


  • Customer Focus
  • Learning on the Fly
  • Decision Quality and Problem Solving
  • Dealing with Ambiguity
  • Presentation Skills
  • Action Oriented

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