Public summary
A fast-growing European soft drink company is seeking a Senior Operations Analytics & Automation Manager to build and scale their data analytics foundation for operations. This role involves designing dbt models, developing dashboards, automating data quality checks using AI tools, and delivering insights to improve supply chain and operational decisions. The position offers a high-autonomy, greenfield opportunity in a startup environment with competitive compensation and equity, flexible work options, and strong career growth potential.
Location and work setup
- Location
- Berlin
- Remote status
- Hybrid
- German requirement signal
- No German Required Detected
- Detected job language
- English
Responsibilities
Own and build out the company's dbt business and reporting layers, translating raw operational data into reliable metric models. Deliver supply chain analytics workstreams including inventory transparency, COGS visibility, procurement pipeline, stock movements, and supplier performance from modeling to dashboards. Develop automated sanity checks, reconciliation monitors, and data quality alerts using AI-assisted coding and automation. Conduct independent analysis on supply chain and operational trends, challenge data inconsistencies, and ensure integration with forecasting platforms. Utilize AI and automation tools to replace manual analytical work and improve operational workflows.
Qualifications
Strong hands-on experience with dbt in production environments, specifically in building business or metric layer models. Proficiency in BigQuery. Solid understanding of operations and supply chain analytics including inventory health, cost of goods sold, procurement pipelines, and demand signals. Experience using AI-assisted coding or automation tools to build monitoring and data quality scripts. Excellent communication skills to convey findings to non-technical stakeholders and an ownership mindset to operate independently in a fast-paced startup setting.