Nike LEAD CONSUMER ANALYTICS GLOBAL - CONVERSE 

United States, Massachusetts, Boston 

246716598

Key responsibilities include:

• Collaborate with business partners to develop a measurement plan and lead both planned and ad-hoc analyses that support consumer (CRM) and marketing use cases.
• Perform advanced analytics and produce clear & simple outputs (e.g., reports, dashboards) to enable decision-making.
• Lead Advanced Analytics workstreams, including audience segmentation strategies, lifetime value, predictive modeling, and marketing attribution.
• Build and manage consumer measurement frameworks and customer-centric reporting tools for monthly reporting, QBR, and annual business use-cases.
• Accelerate adoption of analytics and tools throughout the company by providing training, sharing successful strategies, and encouraging collaboration among different teams.
• Support ongoing data quality monitoring efforts for first-party & third-party data.

WHAT YOU BRING

• Bachelor's degree in Computer Science, Statistics, Decision Science, Applied Math, Economics, Behavioral Science or combination of relevant education, experience.
• 5+ years of experience working in applied data or quantitative digital research setting with a proven track record of delivering insights and business impact.
• Background in the production of consumer data, testing, or customer research in ecommerce, retail, or digital products for targeted communications and consumer journeys.
• Proficiency in advanced analytic techniques, including marketing mix, predictive modeling, multivariate regression analysis, and measuring return on investment (ROI).
• Proficiency in data analysis using SQL, R, Python, and other software applications.
• Expertise using data visualization tools such as Tableau.
• Experience with large datasets and relational databases.
• Familiarity with current trends and effective strategies in digital marketing communication and CRM for retail, digital commerce, or mobile apps is a plus.
• Proficient in managing multiple large data projects in a fast-paced, collaborative environment with diverse business partners and evolving objectives.
• Demonstrated resourcefulness, problem-solving skills, and the ability to discover new data sets/methodologies to answer business questions.