Head of Strategy & Analytics
Compensation: $135,330.00 - $120,320.00 /year *
Employment Type: Full-Time
Industry: Scientific Research
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Head of Strategy & Analytics Reports to the COO Potential Energy Coalition New York, NY Climate change is one of the most intractable challenges that civilization has ever faced: how to get people to care about climate change and take action on this existential threat. Potential Energy Coalition is taking on this challenge by tapping the best minds in marketing, media and creative to change attitudes and beliefs and motivate substantive action on climate change. To do so, we are building an industry-wide marketing capability, driven by insights and supported by a coalition of the very best talent in academia and industry, to launch and support campaigns about this issue. The Head of Strategy and Analytics role is an incredibly challenging and exciting opportunity: surfacing quantitative insights to motivate human beings to care about climate change and measure the effectiveness of programs that motivate that care. Humans are not wired to accept and act on threats that are perceived as long term and that require collective action to solve. At Potential Energy, our mission is to change these dynamics - and are looking for a super-talented Head of Strategy and Analytics to help lead the way. You are a leader and doer with proven experience in surfacing quantitative insights and measuring program effectiveness. You have a combination of technical skills, practical experience, and innate curiosity and drive to leverage the best tools, techniques and approaches that will make this the leading organization for insights regarding climate change communications globally. Key Responsibilities : Lead research, measurement and data analytics for Potential Energy. Support a rapid test lab to rapidly evaluate new ideas, concepts and creative executions. Contribute cutting edge techniques to improve insights and reduce turnaround time. Conduct quantitative research studies. Write surveys e.g., campaign lift, segmentation etc., manage partners and analyze and interpret results. Develop, manage and implement rigorous program measurement e.g., measure overall campaign impact, cross-channel impact, social conversation change, online behavior change etc. Recommend ways to optimize campaigns in-flight and on an ongoing basis Conduct analytics on data aggregated from disparate sources e.g., test lab results, campaigns, quantitative surveys, audience data, conduct analytics. Make recommendations that inform audience targeting, messaging/creative and campaign optimization. Qualifications: Bachelor's or Master's Degree in Computer Science, Economics, Math, Statistics, Data Analytics or another field with a quantitative component. 8+ years experience as a lead strategist, researcher or analyst for a consultancy, marketing or media agency, research company or brand. Strong experience in Excel, SQL, R, SPSS or other statistical packages. Deep experience developing and refining audience segments and personalized messaging through analytics and continuous A/B testing in market Deep research experience surfacing insights, driving investments and measuring outcomes. Significant experience working with large, complex datasets to extract insights. Experience with social advocacy or political campaigns that persuade audiences. Strong strategic thinker, quick learner and good listener and collaborator. Excellent problem-solving skills; able to connect the dots and see outcomes and possibilities that go beyond specific numbers. Strong communicator; has passion, a point of view, conviction and persuasion skills Entrepreneurial, comfortable working in a fast-moving environment and positive can do attitude. Potential Energy Coalition is a project of Windward Fund, a 501(c)3 organization.
Associated topics: agriculture, agrosciences, climate, environmental, environmental science, epa, farm, sustainability, sustainable, wetlands
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.
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