Tuesday, November 18, 2014

Director - Decision Science - Member Services - Nike - Portland


Job description
Nike does more than outfit the world's best athletes. We are a place to explore potential, obliterate boundaries, and push out the edges of what can be. Nike’s Global Consumer Knowledge Center of Excellence is a growing organization responsible for building and deepening a holistic view of Nike’s consumers through data and analytics, and applying those insights to inform the development of incredible digital services and experiences for our consumers. We are looking for an innovative and experienced expert in the synthesis and packaging of consumer analytics to join our Center of Excellence and the Decision Science team. You’ll be tasked with identifying opportunities to use consumer knowledge to influence decision-making and to translate analytics and insights into action in our Membership Services business unit. The ideal candidate will have a history of developing creative and effective ways of integrating and sharing consumer knowledge and the vision and leadership skills to partner with key business stakeholders within Membership Services and drive improved decision-making. Key responsibilities:
Synthesizing and translating complex findings into curated, relevant, and useful deliverables
Developing and extending best practices in identify critical business stakeholders, develop report timing and cadence, and to evaluate the impact of analytics and insights
Working with senior executive clients to understand requirements and improve opportunities to drive knowledge into action


Desired Skills and Experience
Education:
Background in a related field such as statistics, econometrics, applied math, or behavioral sciences research
Deep experience with applying analytics to Membership Services or loyalty programs
Advanced degree in a quantitative or research field a plus

Experience
At least 8 years experience in an applied analytics or quantitative research setting
A background in the production of applied analytics or customer research in the context of a membership services, loyalty program, or other CRM function within a global business

Required Skills
A history of excellence and innovation in synthesizing complex findings, data visualization and storytelling, and client presentation and partnerships
A good understanding of applied statistics including sampling approaches, causal modeling, time series analysis, and data mining techniques
Ability to manage a portfolio of large research projects with multiple business stakeholders in a fast moving setting with ambiguous requirements
Deep experience managing multiple business priorities and executive stakeholders in an ambiguous and rapidly growing organizational setting
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