Recently voted Fast Company’s #1 Most Innovative Company in Education and #28 Most Innovative Company in the world, General Assembly is a venture backed, post Series D, NYC-based startup in our fourth year. General Assembly transforms thinkers into creators through education and opportunities in technology, business, and design. We offer classes, workshops, long-form courses, and events in worldwide markets including New York where we are headquartered, Atlanta, Austin, London, Hong Kong, Sydney, San Francisco, Los Angeles, Boston, Chicago, Seattle, Denver, Melbourne, and Washington DC. We also partner with Fortune 500 companies to spur innovation through increased digital fluency and more effective approaches to collaboration.
What We're Looking For:
A critical thinker with strong quantitative analytical skills who finds pleasure in building solutions and weaving data into actionable insights. A champion of intelligent decision making who’s both relentlessly curious and hungry to learn more.
You’ve demonstrated an ability to creatively solve problems and use data to influence decision making. You have a bias for action and have worked in a startup and/or high growth company. You have prior experience working with marketing teams and some experience working for offline companies.
- Quantify value of and optimize marketing efforts
- Optimize marketing spend
- Build and refine reporting infrastructure to democratize insights to broad audiences
- Support business in identifying opportunities in marketing funnel
Drive the development of GA’s marketing analytics discipline. Includes the following: build marketing and media mix, media optimization, multi-channel attribution, predictive models — models that will help inform decisions in budget and channel choices for Marketing. Build measurement plans that will account for KPI assignments, data collection, testing and optimization, and targeting. Segment/cohort development, tracking and analyses. LTV measurement and tracking.
Technical Competencies Which Will Help You in This Role:
- SQL (intermediate)
- Python (pandas, scikit-learn)
- Machine learning, statistical modeling & analysis, design of experiment
- Excel / Google Sheets
- Looker / Tableau
- Google Analytics
Experience working in B2C business. Proficient knowledge with databases. Experience with statistical analysis: significance, error, sample size, experiment design, data mining, multivariate analysis. Proficient knowledge with database including strong SQL fluency. Expertise with Excel or Google spreadsheets — logical functions, lookups, pivot tables, external source data, dynamic pivot charts and tables. Excellent communications and presentation skills.
3+ experience working with data and utilizing quantitative techniques to solve marketing business problems
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