Nike, Inc.:
LEAD ANALYTICS ENGINEER - Shanghai Job in Shanghai, Shanghai, China Mainland, VT
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Shanghai, Shanghai, China Mainland, VT
Full-time | Information Technology
About the job
Who Are We Looking For
We are looking for Lead Analytics Engineers on the GC Enterprise Analytics Engineering team. You will work with a variety of hardworking Nike teammates and be a driving force for building world-class solutions for Nike Technology and its business partners, working on development projects related to Analytics Solutions, including commerce and consumer behavior among others. Your strong problem-solving and interpersonal communication skills, desire to learn and share knowledge with others will position you well for this role.
What Will You Work On
You will drive work you're doing to completion with hands-on development responsibilities, and partner with the engineering leader to provide thought leadership and innovation with those results.
Role responsibilities:
• Design and implement big data solutions in collaboration with product owners, data analysts, and business partners using Agile / Scrum methodology.
• Contribute to overall architecture, frameworks, and patterns for processing, evaluate and apply new technologies/tools/frameworks centered around high-volume data processing.
• Define and apply appropriate data acquisition and consumption strategies for given technical scenarios, build utilities, user defined functions, libraries, and frameworks to better enable data flow patterns.
• Use continuous integration and deployment frameworks including automated unit tests and integration testing.
• Design and implement remediation data workflows and script prevalent in the Nike data ecosystem including automated routines using workflow orchestration tools.
• Drive the development of new data products and the optimization of existing solutions.
• Provide work estimates and represent work progress and challenges.
• Profile and analyze data for the purpose of designing scalable solutions
• Anticipate, identify, and solve issues concerning data management to improve data quality, address operational & performance issues, remove technical bottlenecks, and perform root cause analysis as needed.
• Team Leadership and Collaboration.
• Drive collaborative reviews of designs, code, and test plans.
• Work with architecture, other engineering leads and teams to ensure quality solutions are implemented, and team adheres to defined engineering standard methodologies.
• Provide leadership, guidance, and mentorship to other junior data/analytical engineers.
We are looking for Lead Analytics Engineers on the GC Enterprise Analytics Engineering team. You will work with a variety of hardworking Nike teammates and be a driving force for building world-class solutions for Nike Technology and its business partners, working on development projects related to Analytics Solutions, including commerce and consumer behavior among others. Your strong problem-solving and interpersonal communication skills, desire to learn and share knowledge with others will position you well for this role.
What Will You Work On
You will drive work you're doing to completion with hands-on development responsibilities, and partner with the engineering leader to provide thought leadership and innovation with those results.
Role responsibilities:
• Design and implement big data solutions in collaboration with product owners, data analysts, and business partners using Agile / Scrum methodology.
• Contribute to overall architecture, frameworks, and patterns for processing, evaluate and apply new technologies/tools/frameworks centered around high-volume data processing.
• Define and apply appropriate data acquisition and consumption strategies for given technical scenarios, build utilities, user defined functions, libraries, and frameworks to better enable data flow patterns.
• Use continuous integration and deployment frameworks including automated unit tests and integration testing.
• Design and implement remediation data workflows and script prevalent in the Nike data ecosystem including automated routines using workflow orchestration tools.
• Drive the development of new data products and the optimization of existing solutions.
• Provide work estimates and represent work progress and challenges.
• Profile and analyze data for the purpose of designing scalable solutions
• Anticipate, identify, and solve issues concerning data management to improve data quality, address operational & performance issues, remove technical bottlenecks, and perform root cause analysis as needed.
• Team Leadership and Collaboration.
• Drive collaborative reviews of designs, code, and test plans.
• Work with architecture, other engineering leads and teams to ensure quality solutions are implemented, and team adheres to defined engineering standard methodologies.
• Provide leadership, guidance, and mentorship to other junior data/analytical engineers.