4 дня назад
Data Analyst 3 - Supply Chain Planning
102 500 - 170 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analyst 3 - Supply Chain Planning (SQL/Python/LLM): Building and maintaining supply chain planning analytics, BigQuery pipelines, dashboards, data models, and an LLM-powered knowledge platform with an accent on operational analytics, data quality, and applied AI. Focus on evaluating agent outputs, diagnosing hallucinations and retrieval gaps, automating knowledge-base updates, and improving forecast, fulfillment, inventory, returns, and capacity planning decisions.
Location: 1600 7th Avenue, Seattle, Washington 98101, United States
Salary: $102,500–$170,500 annual
Company
is an omnichannel retail company operating across physical and digital retail.
What you will do
- Build and maintain an LLM-powered supply chain knowledge base with validated SQL, business rules, glossary definitions, workflow summaries, and agent tools.
- Develop evaluation frameworks and quality controls, write test cases, run evaluations, and resolve hallucinations and retrieval gaps.
- Create Python tooling and automation for freshness checks, extraction scripts, scheduled jobs, and knowledge-base synchronization.
- Own BigQuery pipelines, Looker and Tableau dashboards, and data models supporting weekly and monthly Operations Planning cycles.
- Perform ad hoc analysis, investigate forecast misses, assess operational decisions, and develop KPIs for fulfillment, receiving, inventory, returns, and capacity.
- Partner with planners, business stakeholders, Data Engineering, Data Science, and Technology while promoting data quality and governance.
Requirements
- Degree in Finance, Statistics, Mathematics, Analytics, Computer Science, or a related field.
- 4+ years of data analytics experience and the ability to deliver business-critical analytics independently.
- Advanced SQL with hands-on BigQuery experience, plus knowledge of data warehousing, dimensional modeling, and query construction.
- Experience building and maintaining Python data pipelines and automation with validation, monitoring, and workflow scripts.
- Practical experience with LLM systems, including prompt design, tool or function definitions, retrieval patterns such as RAG, evaluation frameworks, or structured AI knowledge curation.
- Proficiency with at least one visualization tool, preferably Looker, and strong communication skills for presenting findings to stakeholders and operational leadership.
Nice to have
- Supply chain expertise in retail or consumer goods.
- Experience with outbound fulfillment, inbound operations, inventory, returns, or capacity planning.
- Hands-on use of AI-assisted development and productivity tools such as Claude Code or Claude Desktop.
Culture & Benefits
- Medical, vision, dental, retirement, and paid time away benefits.
- Life insurance and disability insurance options.
- Merchandise discount and Employee Assistance Program resources.
- 401k, paid time off accruals, holidays, and possible performance-based incentives or bonuses.
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