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NIKE

Data Analyst

NIKE, Beaverton, Oregon, us, 97078


Title:

Data Analyst

Location:

Remote, US

Duration:

3 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 ONAnalyzes complex business problems and issues using data from internal and external sources to provide insight to decision-makers.Identifies and interprets trends and patterns in datasets to locate influences. Constructs forecasts, recommendations and strategic/tactical plans based on business data and market knowledge.Creates specifications for reports and analysis based on business needs and required or available data elements.May provide consultation to users and lead cross- functional teams to address business issues.May directly produce datasets and reports for analysis using system reporting tools.Has a strong urgency to get things done.Effectively organize plan and prioritize work.Stay up to date in technical skills and current practices.Communicate effectively in a variety of settings and be curious and ask questions to ensure understanding.Written communication is clear and concise.WHAT YOU BRINGExperience in Agile/Scrum (Incl. SAFe) and waterfall methodology with cross-functional team expanding against multiple time zones.Deep understanding of data warehousing, development/support processes.Ability to grasp complex tech dependenciesUnderstand internal & external business processes.Analyze business needs & perspectives by coming up with ideas for a solution and taking action.Skillset to establish rapport with the tech team and business stakeholders to organize everyday work efficiently and effectively.Ability to ask questions to quickly understand and improve both existing and new processes.High level of proficiency in identifying root causes of any project issues as pertained to data analysis.Expertise in requirements gathering and analysis, observing and obtaining information from all relevant sources.Data profiling that involves analyzing and assessing data to improve its quality, accuracy, and usability:

Data type checkConsistency checkSyntax checkIntegrity validationTechnical knowledge in SQL, Databricks, Snowflake, Microsoft Office Suite, Cognos, Tableau, SAP, etc.

Being able to figure issues/problems out by Google, chat GPT, SAP Help, SQL help (sqlbolt), etc. We need people to troubleshoot, and problem solve.

Published on 27 Sep 2024, 3:18 AM