Senior Analytics Engineer
Core
Own analytics for the Machine Infrastructure Supply Chain team by building and evolving the enterprise semantic layer to transform raw data into trusted models, metrics, and analytics-ready datasets.
Role type
Senior Analytics Engineer
Builds
Enterprise semantic layer, executive dashboards, AI analyst agents, reusable data models
Domain
Cloud Infrastructure / AI Compute Supply Chain
Deliverable
production ML models | dashboards & analysis
Required skills
dbt, SQL, MPP analytical databases (StarRocks, Snowflake, BigQuery, Redshift), BI tools (Omni, Tableau, Looker, Power BI), data orchestration (Airflow, Dagster), Python/Bash scripting
Preferred skills
Production data pipeline operations, stream processing (Flink, Kafka), open table formats (Iceberg, Hudi, Delta, Paimon)
Responsibilities
Analyze inventory trends and generate reports to drive decision-making; Monitor and maintain optimal inventory levels across the supply chain network; Collaborate with demand planners and buyers to align inventory strategies; Lead root cause analysis for inventory discrepancies; Identify and implement process improvements related to inventory planning; Develop KPIs and dashboards to track inventory accuracy and performance metrics; Support inventory reconciliation and cycle count programs; Assist with ERP system optimization for inventory modules
Seniority
Senior, hands-on IC
