Supply Chain Data Analyst
NextHop Systems
full-time
Posted on:
Location Type: Hybrid
Location: Bengaluru • India
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About the role
- Design, build, and manage scalable data pipelines that ingest, transform, and deliver data from multiple business systems
- Own and maintain the enterprise data warehouse, ensuring it meets the reporting and analytical needs of Supply Chain, Finance, and other business functions
- Monitor pipeline health, data quality, and system performance; proactively identify and resolve issues
- Partner with business stakeholders to understand data requirements and translate them into reliable, well-documented data models
- Deploy, maintain, and continuously improve AI-based applications and automation workflows that support business operations
- Provide hands-on support for AI agents, with a focus on data integrity, accuracy, and output validation
- Collaborate with business teams to identify opportunities where AI can reduce manual effort and improve process efficiency
- Ensure responsible AI use by implementing appropriate monitoring, logging, and data governance practices
- Develop and maintain scripts, workflows, and customizations within NetSuite (SuiteScript), Arena PLM, and other business applications
- Partner with functional teams to gather requirements and implement system enhancements that improve usability and process alignment
- Troubleshoot and resolve issues related to system integrations, custom scripts, and automated workflows
- Maintain clear documentation of all customizations and configurations to support audits and future changes
Requirements
- 3+ years of experience in data engineering, business systems engineering, or a similar technical role
- Proficiency in SQL and at least one scripting/programming language (Python, JavaScript, or equivalent)
- Hands-on experience building and managing data pipelines and ETL/ELT workflows
- Familiarity with data warehousing concepts and tools (e.g., Snowflake, BigQuery, Redshift, dbt)
- Experience with NetSuite (SuiteScript) or other ERP/PLM customization and scripting
- Strong understanding of data quality, data governance, and documentation best practices
- Preferred Experience deploying or supporting AI/ML applications or LLM-based agents in a business context
- Familiarity with Arena PLM or similar product lifecycle management systems
- Experience working with Supply Chain or Finance data domains
- Exposure to workflow automation tools (e.g., Zapier, Make, or similar)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythonJavaScriptdata engineeringdata pipelinesETLELTdata warehousingdata qualitydata governance
Soft Skills
collaborationproblem-solvingcommunicationdocumentationstakeholder engagementprocess improvementanalytical thinkingattention to detailproactive issue resolutionorganizational skills