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Mid-level generalist data role at a known consumer brand with common required skills increases applicant density.
Core GCP and analytics skills are transferable, but manufacturing and procurement domain experience adds moderate specificity.
Mandatory 3+ years plus GCP, BigQuery and SQL requirements create moderate filtering of applicants.
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Design, develop, and maintain data analytics and workflow automation solutions using Google Cloud Platform technologies to enhance manufacturing, procurement, and supply chain processes.
Develop dashboards, reports, data visualizations using Looker Studio and BigQuery, and integrate enterprise applications including Oracle ERP, MES, and PLM with Google platforms.
Support digital manufacturing initiatives through real-time data collection, operational reporting, and collaborate with cross-functional teams for process automation and efficiency improvements.
Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or related field.
3+ years of software development experience with at least 3 years working on Google Cloud Platform (GCP).
Strong expertise in SQL and large-scale relational databases such as SQL Server, Snowflake, or Oracle.
Proven experience in data modeling, ETL processes, API development, and cross-functional team collaboration.
Experienced in building scalable digital solutions within manufacturing, procurement, supply chain, or Industry 4.0 environments.
Strong technical skills in GCP services including AppSheet, Apps Script, Cloud Functions, BigQuery alongside integration expertise with enterprise systems like ERP and MES.
Ability to deliver end-to-end data analytics and automation projects supporting global operations and multiple business units.