Senior Director of Marketplace Analytics - EMEA

Job Description

Nike’s Marketplace Analytics team focuses on the commercial performance of the marketplace across all channels and categories, supporting a wide array of stakeholders across the company by delivering insights, driving the creation of automated, self-service reporting, and using advanced analytics to identify opportunities to impact the business through optimization, testing and forecasting.
Partnering closely with other complementary analytics teams (such as Consumer and Supply Chain) and the technology team, this leadership role is also accountability for continuing to advance the sophistication of the function of analytics throughout the geography.
As the leader of Nike’s EMEA Marketplace Analytics team, you will work across a diverse set of topic areas. Key early priorities will include:

• Executing the strategy for how data and analytics can be used to deliver value for EMEA and driving a step-change transformation in DSM & Marketplace capability and approach
• Providing value added insight through better spotting consumer demand and constructing recommendations for strategic/tactical plans across the marketplace.
• Delivering commercial value through utilizing consumer insight and business constraints to drive effectiveness in planning and in the marketplace
• Developing guided analytics to allow leaders to learn from past results, make decision about today and simulate the future.

You will serve as an evangelist for the power of predictive analysis and develop business cases for presentations to key stakeholders to illustrate proven successes. You will become an invaluable partner to your stakeholders and help catalyze their thinking about what’s possible.
You will think broadly and creatively about the role of analytics at Nike and how data can be used to help the entire company.
The role requires a leader with strong, hands-on industry experience driving a full stack analytics function: partnering with engineering to drive data enablement as part of an agile team, leading teams of data scientists tackling weighty problem and driving the development of scaleable, enterprise reporting that elevates the analytics understanding of the entire company.
You’ve reached the point in your career where you’ve learned how to be effective by empowering others, but sometimes you crank out your own analysis because you just can’t help yourself (even though it probably isn’t the most “rational” use of your time).
You are passionate about iteration and testing and are borderline-obsessed with measuring impact. You desire to be a mentor and intellectual partner for your team, and your boundless curiosity is infectious.
You like the word “incremental” when it is applied to a measurement or model but prefer “step change” when talking about driving business results.
You know how to rise above the numbers and explain the essential idea to business users who don’t always understand how the sausage is made.
You instinctively minimize complexity, focus on the consumer and drive sales.
Qualifications

• Masters in quantitative degree (Statistics, Decisions Sciences, Computer Science, Economics etc..) or MBA preferred
• At least 15 years professional experience with a minimum of 8 years in analytics.
• Strong history of analytical team leadership, communications and building collaborative business partner relationships
• Strong hands-on experience working with real-world advanced analytics challenges and managing a complex portfolio and multiple stakeholders in a fast moving, dynamic and matrixed team and business environment
• Exceptional ability to understand complex analytics topics, translate them into relevant conclusions/deliverables, and develop and deliver meaningful presentations, visualizations, and infographics
• Core mathematical ability to understand, utilize and innovate on state-of-the-art machine learning algorithms and/or statistical modeling
• Deep understanding of very large data sources and best practice research methods and applied statistics, including sampling approaches, causal modeling, time series analysis, and datamining techniques in capturing and predicting consumer sentiment, behavior and feedback
• Working experience in leading cross functional agile analytics & data products teams
• Excellent written and verbal communication skills, including results packaging and development of management presentations
• Experience managing large teams and track record of successfully cultivating new leaders and helping analytics professionals grow and advance in their careers
• Extensive experience synthesizing and packaging complex analyses and delivering results to non-technical audiences including senior leadership teams
• Strong agile programme management capabilities to manage multiple initiative streams and complexity