WHAT YOU BRING
Bachelor’s Degree in Computer Science, MIS, other quantitative disciplines, or related fields
3-7 years of relevant analytical experiences that can translate into defining strategic vision into requirements and working with the best engineers, product managers, and data scientists
Ability to conduct data analysis, develop and test hypothesis and deliver insights with minimal supervision
Experience identifying and defining KPI’s using data for business areas such as Sales, Consumer Behaviour, Supply Chain etc.
Exceptional SQL skills
Experience with modern visualization tool stack, such as: Tableau, Power BI, Domo etc.
Knowledge of open-source, big data and cloud infrastructure such as AWS, Hive, Snowflake, Presto etc.
Incredible attention to detail, with structured problem-solving approach
Excellent communications skills (written and verbal)
Experience with agile development methodologies
Experience with retail or ecommerce domains is a plus
ABOUT THE ROLE
Now, more than ever, Technology needs to respond quickly to turn market disruptions into opportunities for our world-class brand. To achieve this, we must continue to develop our Enterprise Analytics, Data Science & Machine Learning capabilities and team to ensure we’re maximizing the power of the Nike enterprise in the analytics/machine learning space and managing data as a competitive advantage.
If you’re ready to innovate and be a driving force for building solutions Enterprise Data and Analytics organization, come join us now! You will be part of an organization that is revolutionizing Nike technology platforms and architecting a data and analytics landscape that is simplified, modern, flexible and will ultimately enable Nike on its journey to 2023 and beyond.
WHAT YOU WILL WORK ON
Serve as a liaison between product, engineering & data consumers by analyzing the data, finding gaps and help drive roadmap
Support and troubleshoot issues (data & process), identify root cause, and proactively recommend sustainable corrective actions by collaborating with engineering/product teams
Communicate actionable insights using data, often for the stakeholders and non-technical audience.
Ability to write technical specifications describing requirements for data movement,
transformation & quality checks
NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, protected veteran status, or disability. NIKE is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the employment process, please call +1 503-671-4156 and let us know the nature of your request, your location and your contact information.
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