Title:Data LeadLocation:Beaverton, ORDuration:8 month contractNIKE, 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 ONLead the accomplishment of key goals across consumer and commercial analytics functions.Collaborate with key stakeholders to understand requirements, develop sustainable data solutions, and provide insights and recommendations.Document and communicate systems and analytics changes to the business, translating complex functionality into business-relevant language.Validate key performance indicators and build queries to quantitatively measure business performance.Communicate with cross-functional teams to understand the business cause of data anomalies and outliers.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 leveraging standard query syntax.WHAT YOU WILL DOAnalyze complex business problems and issues using data from internal and external sources to provide insights to decision-makers.Identify and interpret trends and patterns in datasets to locate influences.Construct forecasts, recommendations, and strategic/tactical plans based on business data and market knowledge.Create specifications for reports and analysis based on business needs and required or available data elements.Provide consultation to users and lead cross-functional teams to address business issues.Produce datasets and reports for analysis using system reporting tools.WHAT YOU WILL BRINGBachelor's Degree and minimum of 8 or 9 years directly relevant work experience (alternatively, PhD or Law + 6 yrs; Masters + 7 yrs; Associates degree + 9 yrs; High School + 10 yrs).Strong proficiency in data analysis, including using data to predict trends and perform statistical analysis.Experience in data mining to extract information from data sets and identify correlations and patterns.Ability to monitor data quality and remove corrupt data.Proficiency in evaluating and utilizing new technologies, tools, and frameworks centered around high-volume data processing.Experience in improving existing processes through automation and efficient workflows.Ability to work independently, take initiative to identify, explore, and solve problems.Strong communication skills to effectively collaborate with cross-functional teams and communicate complex findings to non-technical stakeholders.Experience in designing and building innovative data and analytics solutions to support key decisions.Familiarity with standard methodologies in reporting and analysis, such as data integrity, unit testing, data quality control, system integration testing, modeling, validation, and documentation.
