Senior Process Optimization Analyst
Beaverton, Washington County, Oregon, 97078, USA
Listed on 2026-02-11
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IT/Tech
Data Analyst, Systems Analyst
Senior Process Optimization Analyst - Nike Inc.
Beaverton, OR. Oversee the product lifecycle of process automation and workflow solutions, from discovery through concept, testing, launch, and maturity; lead the design, build, and delivery of process automation and workflow solutions using various ecosystems; collaborate with teams to translate the needs of the Consumer through Innovation, Design and Product and Merchandising; ensure timely delivery of high-impact features while prioritizing user sentiment and measurable value drops;
conduct qualitative and quantitative research to inform solution design and prototyping with end users; develop, test, and deploy sustainable, interim solutions leveraging Low Code No Code, Robotic Process Automation, and advanced workflows; own the product roadmap and managing complex solution life cycles, including requirements gathering, build, testing, launch, and ongoing production support; establish best practices and scalable processes to maximize the impact of delivered solutions;
and report progress and managing your backlog within an Agile methodology to ensure consistent, high-quality delivery.
Telecommuting is available from anywhere in the U.S., except from AK, AL, AR, DE, HI, IA, , IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY.
QualificationsMust have a degree in:
Bachelor’s degree in Computer Science or Information Technology and 60 months of progressive, post-baccalaureate experience in the job offered, or a technology-related occupation. Experience must include:
- Python
- AWS
- APIs
- Product management and team leading
- Digitizing and optimizing business processes
- Stakeholder engagement
- Intake and prioritization
- Agile methodology
- Cross functional collaboration
- Functional, Regression, Integration & Automation Testing
- Jira, Miro, Swagger, and Lucid Chart
- Relational databases
- Smartsheets and advanced Excel features using Excel VBA
Apply at (Job# R-78859)
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