Data Analyst, Supply Chain

Serve Robotics

Data Analyst driving data management workflows and performing data analysis for Serve Robotics. Collaborating across teams to enhance supply chain operations through data-driven insights.

Posted 7/23/2026full-timeRemote • 🇲🇾 MalaysiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in API-based workflow development, data analysis, and automation, with a strong focus on data quality and operational efficiency. Proficient in SQL and programming languages like Python or Javascript, alongside modern AI-driven development tools and frameworks.

Highest-signal resume keywords

Data AnalysisAPI DevelopmentSQL ProficiencyWorkflow AutomationAI-Driven Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData ManagementData ModelingSQLPythonJavascriptAutomated PipelinesData StructuresRoot Cause AnalysisKPI Definition

Soft Skills

Analytical SkillsProblem SolvingProject ManagementCommunicationCollaboration

Tools & Technologies

Claude CodeGitHub CopilotCodexLanggraphOpenAI APIGemini APIExcelGoogle Sheets

Industry Keywords

Supply ChainOperationsLogisticsData Quality StandardsBusiness Recommendations

Tech Stack

Tools & technologies

CloudJavaScriptPythonSQL

About the role

Key responsibilities & impact

Develop and manage API-based workflows to ensure seamless communication between our core business platforms and external logistics partners.
Design, build, and maintain automated pipelines to retrieve and route data across various internal and external databases and tools.
Perform hands-on data analysis (e.g., tracking average shipping times, inventory flows, etc.) and build automated spreadsheets and/or dashboards for stakeholders.
Implement error handling, alerting, etc. to ensure data workflows run consistently and accurately.
Partner with Supply Chain, Operations, Finance, and Engineering stakeholders to define KPIs, reporting requirements, and data quality standards across supply chain processes.
Conduct root cause analysis on operational issues and recommend process improvements that reduce cost, improve inventory accuracy, and increase logistics performance.
Create and maintain technical documentation for data models, integrations, workflows, and reporting systems to support long term scalability and knowledge sharing.

Requirements

What you’ll need

5 years of hands-on experience in data analysis, data engineering, workflow automation, or similar technical roles.
Strong general knowledge of data structures and data management, both for big data using cloud databases and small data using excel & google sheets.
Advanced knowledge of SQL and at least one other programming language (ideally Python or Javascript).
Proficiency in modern AI-driven development including AI coding tools (e.g., Claude Code, GitHub Copilot, Codex), Model Context Protocol (MCP), configuration of Skills, sub-agents, etc. and familiarity with popular AI orchestration frameworks such as Langgraph, OpenAI API/SDK, Gemini API/SDK, etc.
Experience designing data models and transforming data from multiple operational systems into clean, reliable datasets for reporting and analysis.
Strong analytical and problem solving skills, with the ability to translate complex data into actionable business recommendations for nontechnical stakeholders.
Demonstrated ability to independently manage multiple projects, prioritize competing requests, and deliver high quality work in a fast paced environment.

Benefits

Comp & perks

Health insurance
Flexible work arrangements
Professional development opportunities