Job Description
Report Analyst SAP Projects Who we are With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system reinventing warehouse automation for increased efficiency, speed and flexibility. Job Description We re seeking a hybrid Data Engineering & BI Analyst to build and stabilize data pipelines and deliver high-impact BI reporting. You ll work across Google BigQuery and/or Snowflake to develop analytics-ready datasets and power dashboards in Looker, Tableau, and/or Qlik Sense. Responsibilities Data engineering Build and maintain pipelines from SaaS tools, operational databases, APIs, and flat files into BigQuery/Snowflake. Design curated datasets and semantic-ready tables/views; improve query performance (partitioning/clustering, pruning, aggregation strategies). Set up data observability: load monitoring, failure alerts, and incident/runbook documentation. Troubleshoot pipeline failures and data discrepancies; conduct root-cause analysis and remediation. Analytics Gather requirements, define metrics/KPIs, and translate business needs into trusted reporting. Build and optimize dashboards in Looker/Tableau/Qlik Sense with strong usability, performance, and governance. Enable self-service: certified datasets, standardized dimensions/measures, consistent metric definitions. Provide ad-hoc analysis and recommendations; communicate insights clearly to stakeholders. Required qualifications Strong SQL and hands-on experience with BigQuery and/or Snowflake. Experience with at least one BI tool: Looker, Tableau, or Qlik Sense (multi-tool experience preferred). Experience working with SAP data. Solid data modeling fundamentals (dimensional modeling, metric grain, conformed dimensions). Experience with pipeline/orchestration concepts (scheduling, retries, idempotency, incremental loading). Strong stakeholder management skills; can drive clarity and deliver iteratively.