Data AnalystHybrid

Title: Data Analyst

Location: Beaverton

Duration: 8 month contract

At Nike, we embrace diversity and reward imagination. We seek achievers, leaders and visionaries who can grow, think, dream and create. Join our innovative team as a Data Analyst to analyze complex business problems and provide data-driven insights to decision makers.

WHAT YOU WILL DO

• Analyze complex business problems using data from both internal and external sources to provide actionable insights.
• Identify trends and patterns in datasets to determine their impact on business outcomes.
• Construct forecasts and make strategic recommendations based on business data and market knowledge.
• Develop and document specifications for reports and analyses that meet business needs.
• Collaborate with cross-functional teams and stakeholders to understand business requirements and deliver data solutions.
• Directly produce datasets and reports using system reporting tools.

WHAT YOU WILL WORK ON

• Lead efforts to achieve key goals across consumer and commercial analytics functions.
• Build and deliver scalable data solutions, ensuring sustainability and efficiency.
• Validate key performance indicators and create queries to measure business performance quantitatively.
• Communicate complex systems and analytics changes to the business in understandable terms.
• Develop SQL queries, data visualizations, and analytics to fulfill reporting needs and ad-hoc requests.
• Monitor data quality, remove corrupt data, and maintain data governance standards from ingestion to documentation.
• Improve processes through automation, explore new technologies for high-volume data processing, and support system integration testing and modeling.

WHAT YOU WILL BRING

• A Bachelor's Degree with 2-4 years of directly relevant experience (or equivalent qualifications).
• Strong skills in analyzing data and extracting insights to support decision-making.
• Experience developing reports, forecasts, and recommendations based on business and market data.
• Ability to work independently, solve problems proactively, and communicate effectively with cross-functional teams.
• Proficiency in SQL, data mining, statistical analysis, and data visualization.
• Experience with reporting tools and building scalable, efficient data workflows.
• A self-motivated, detail-oriented approach to improving existing processes and systems.