Report to the VP of Marketing Automation and Data Intelligence and be responsible for finding and implementing automation opportunities across all our reporting dashboards, providing advanced analytical support to our broad marketing efforts. This role will work closely with the Development, Research, Cohorots/Partnerships, Brand Marketing, Public Policy, and other teams to provide business intelligence insights. It will advance the Foundations ability to execute data-driven marketing campaigns by continuously improving audience behavior and response understanding. The person will take ownership of our marketing data pipeline and manage the BI the BI systems and Salesforce integration. Partner with the marketing team to identify and scale strategies by scoping and analyzing channel/campaign performance, audience behavior, and content performance and funnel reports. Partner with multiple foundation teams to: develop and maintain detailed reports integrating channel, audience and engagement insights focused on research participant recruitment and retention, and develop iterative testing framework to optimize Marketing-led efforts in support of research participant recruitment and retention; Partner with colleagues to advance shared initiatives related to email automation, UX testing and attribution modeling; Develop and maintain ETL processes on Domo and AWS to produce detailed dashboards, reports and analyses in response to business questions from multiple stakeholder groups. Own the full data pipeline to ensure data quality and integrity, and work with internal teams to automate diagnosis and fix data errors; Support occasional business and marketing analysis for senior leadership and Board reviews; Ideate and prototype data products to help multiple stakeholders extract valuable business insights; Partner with Marketing Leadership to develop two junior team members; Responsible to supervise the workflow of two (2) junior data scientists. Use the following software: BI tools such as Domo, Tableau or Power BI; Excel, SQL; Phyton or R.

Educational requirements: M.S. degree in following fields (Business Analytics or closely related field such as Statistics, Data Science) + 1 (one) year profession exp. in related field (e.g. Data Analysis, Data Science or Business intelligence occupation) with measurable success and achievement.

How to apply: Send resume to: jmcnasby@michaeljfox.org