Data Analyst – Marketplace Supply Chain Data ProductsRemote

Title: Data Analyst – Marketplace Supply Chain Data Products

Location: Remote, US

Duration: 15 months contract

NIKE, Inc. does more than outfit the world's best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At Nike, it’s about each person bringing skills and passion to a challenging and constantly evolving game.

WHAT YOU WILL WORK ON

• Analyze complex business problems using data from internal and external sources, providing insights to inform decision-making
• Identify and interpret trends and patterns in datasets to inform business strategy
• Develop forecasts, recommendations, and strategic plans based on business data and market knowledge
• Create specifications (Source to Target Mapping) for data products, reports, and analysis based on business needs and available data elements
• Collaborate with stakeholders to understand requirements and develop sustainable data products
• Document and communicate system and analytics changes to the business, translating complex functionality into business-relevant language
• Validate key performance indicators and build queries to measure business performance
• Develop data governance standards from data ingestion to product dictionaries and documentation
• Develop SQL queries and data visualizations to fulfill ad-hoc analysis requests and ongoing reporting needs
• Use data mining and statistical analysis to extract insights from datasets and identify correlations and patterns
• Monitor data quality and provide recommendations to remove corrupt data
• Work independently and take initiative to identify, explore, and solve problems

WHAT YOU BRING

• Strong analytical and problem-solving skills
• Ability to communicate complex data insights to non-technical stakeholders
• Experience with data governance, data quality, and data validation
• Proficiency in SQL and data visualization tools
• Experience with Data modeling techniques & building models
• Experience with data mining and statistical analysis
• Ability to work independently and take initiative to identify and solve problems

Nice to Have:

• Experience with data product development and data architecture
• Knowledge of standard methodologies in reporting and analysis, such as data integrity, unit testing, and data quality control
• Experience working with SAP S4 and navigating its data structures
• Experience with high-volume data processing and big data technologies
• Certification in data analysis or a related field, Databricks preferred