Marketing Analytics Manager

GitHub is the best place to build software together. Over 12 million people use GitHub to share code and build amazing things with friends, co-workers, classmates, and complete strangers. With the collaborative features of GitHub.com, our desktop and mobile apps, and GitHub Enterprise, it has never been easier for individuals and teams to write better code, faster.

GitHub is looking for an exceptional individual to help our marketing efforts by providing actionable insights from our data around product, users and marketing campaigns. You need to be technical, results-oriented, a great team player, and looking to change the world by empowering developers worldwide.

* Develop measurement strategies for complex (multi-channel) campaigns. * Analyze demographic, firmographic and behavioral information to target the right users for relevant content. * Create attribution strategies to understand proper customer acquisition cost (CAC) for a user or organization, and their customer lifetime value (CLTV). * Deep focus on uncovering customer insights that the business can apply as growth drivers. * Helps in the development of customer and business models to support decisions. * Develop stories from data; create compelling visualizations in Looker & D3.js to deliver the right message. * Translate multiple data types into insights and marketing recommendations. * Massage data as needed to glean deeper insights. * Share a genuine passion in analytical excellence with your colleagues.

* 5+ years in an analytical development role. * 2+ years of experience analyzing user behavior & marketing activities for a subscription business, ideally software-as-a-service. * Experience with applied statistics, experimental design, and survey methodology, including: sampling approaches, statistical modeling, causal inference, time-series analysis, and data mining techniques. * Experience working with large structured and unstructured data sets in multi-method studies. * Fluency in a statistical package such as R. * Experience working with big data and distributed computation preferred (e.g. Hadoop, Hive, Spark, etc). * Experience in data visualization tools like Looker, Tableau, GoodData, etc. * Familiarity with marketing automation systems like MailChimp, Marketo, Eloqua, Pardot, and Hubspot. * Familiarity with Salesforce.com * Experience in marketing-specific analytics, measures, and ratios such as fractional online attribution, return on marketing investment, cost per lead, cost per acquisition, marketing campaign influence, and marketing forecasting. * Full-stack experience leveraging RDBMS, Rails and JS frameworks highly desirable.