Global Consumer and Marketing Analyst - Data Analytics

Yesterday

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Logo of Nike

Nike

Athletic Shoes • Apparel • Sports Equipment • Digital • Merchandising

10,000+ employees

Founded 1964

🛒 Retail

⚽ Sports

👗 Fashion

Description

• Develop new modeling methodologies and perform analytical reviews to assess model performance and determine new marketing attribution solutions. • Drive improvement for more efficient features, processes, tools and resources across teams that makes interpretation of data more efficient, accessible, and discoverable. • Building new reports in Tableau to automate data collection. • Develop and implement models, algorithms, and statistical techniques to solve complex business problems. • Lead the data-driven decision-making process, from data collection and analysis to implementation and monitoring of solutions. • Collaborate with cross-functional teams to understand business challenges and objectives, translating complex data into actionable insights. • Stay informed of industry trends and advancements in data science and machine learning, continuously improving our methodologies and technologies.

Requirements

• Bachelor’s degree in computer science, Statistics, Decision Science, Applied Math, Economics, Behavioral Science or other quantitative discipline. • Advanced degree in Data Science or Analytics is strongly preferred. • 5+ years working in applied data or quantitative digital research setting with a track record of delivering insights and business impact preferred. • A background in the production of consumer data, testing, or customer research in e-commerce, retail, or digital products for targeted communications and consumer journeys. • Experience with advanced analytic techniques, such as marketing mix, predictive modeling, multivariate regression analysis and ROI measurement. • Experience solving complex analytical problems with deep customer focus, applying advanced analytical methods as needed, including big 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. • Experience with Snowflake. • Experience with Databricks is a plus. • Ability to manage a portfolio of large data projects with multiple business stakeholders in a fast-moving, matrixed setting. • Track record of being resourceful, identifying creative solutions and discovering new data sets/methodologies to answer business questions a plus. • Demonstrated experience working successfully in cross-functional teams with varied levels of understanding of data.

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