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nike·1 month ago

Senior, Planning Analytics, Converse GC

Shanghai, People's Republic of ChinaMid · 5-8 yearsH1B likely

About this role

Become Part of the Converse Team

Converse is a place to explore potential, break barriers and push what’s possible. We look for individuals who can grow, think, create, and contribute to a dynamic, team-oriented environment.

About Our Team

The EBP Performance Operations & Insights team sits at the center of Enterprise Business Planning at Converse, delivering standardized reporting and scalable analytics to enable aligned, data-driven decision-making across markets. Greater China (GC) is a complex and strategically important region requiring strong data accuracy and alignment to global standards.

The Role

The Analyst, Performance Operations & Insights – Greater China plays a key role in delivering accurate performance reporting, actionable analytics, and enhanced planning capabilities for the GC business and Converse globally. This role supports a more responsive supply chain by building and maintaining data models that inform replenishment, strengthen demand sensing, and enable localized read-and-react decision-making for new product and marketplace initiatives. The Analyst partners closely with cross-functional teams to translate data into clear storytelling, aligned recommendations, and timely business actions, while connecting GC-specific needs to broader global EBP Performance Operations & Insights priorities, including product development, roadmap prioritization, and KPI alignment.

Role Requirements

  • Build and maintain data models that support replenishment planning, demand sensing, new product initiatives, localized design priorities, marketplace performance, and responsive supply chain decision-making.
  • Translate localized GC marketplace dynamics into insights that support read-and-react decisions, surface risks and opportunities, and inform data-driven recommendations.
  • Execute recurring GC reporting, including weekly pulses, scorecards, KPI tracking, structured outputs, dashboards, and ad hoc analysis requests.
  • Pull, join, transform, clean, maintain, and update datasets from multiple systems to support consistent, repeatable reporting processes in partnership with Technology.
  • Perform detailed QA checks, identify and resolve data discrepancies, escalate issues as needed, and highlight data gaps to support ongoing data quality improvements.
  • Partner with the GC Technology team to translate business requirements into functional asks for dashboard enhancement, automation, scalability, and consistency across local and global use cases.
  • Apply global KPI definitions and reporting standards while documenting data logic, transformations, and reporting definitions for repeatability.
  • Support the Lead in preparing weekly business reviews, managing takeaways and follow-up actions, and developing recommendations on strategic areas of opportunity.
  • Connect GC-specific reporting needs and user feedback to global Performance Operations & Insights tools, KPI frameworks, roadmap inputs, and broader analytics initiatives.
  • Deliver all work on time with a high degree of accuracy, consistency, and attention to detail.

Qualifications

  • 3–6+ years of experience in analytics, reporting, or data-focused roles
  • Strong proficiency in SQL or similar tools for querying and joining datasets
  • Advanced Excel skills (data manipulation, formulas, structured reporting)
  • Experience with reporting or visualization tools (e.g., Sigma, Tableau, Power BI preferred)
  • Familiarity with data warehousing concepts and structured datasets
  • Working knowledge of planning and supply chain concepts, including replenishment, demand sensing, and data-driven marketplace response
  • Demonstrated ability to produce clear actionable reports and visualizations

Capabilities

  • High attention to detail with a strong focus on data accuracy and quality
  • Ability to execute repeatable data and reporting processes with consistency
  • Strong problem-solving skills when working through data issues
  • Ability to manage multiple deliverables within defined timelines
  • Comfortable working within established frameworks and team guidance