Lead sales activities from proposal to contract acquisition, focusing on improving client KPIs using cloud robotics.
About this role
This analyst connects Customer Success with Engineering for PA-AMR sites. The role defines post-deployment traces, timestamps, events, metrics, dashboards, and outputs needed to improve warehouse performance, not sales modeling.
The role studies workflows and use cases, finds missing traces and unclear timing or KPI logic, defines how events become metrics, and documents changes for engineering and operations. It validates dashboards against warehouse processes, supports root-cause analysis, aligns team priorities, and defines backend data needs using Grafana, Elasticsearch, and BigQuery.
Candidates need three to six years in business, solution, product, or operational analysis; strong problem solving; cross-team requirements experience; understanding of business and technical systems; trace- or event-based systems knowledge; experience with tools such as Grafana, Elasticsearch, BigQuery, Power BI, or Tableau; basic SQL or Python; and business-level Japanese and English.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
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