Sr. Ops Analytics & Automation Manager

As the Ops Analytics & Automation Manager, you'll own the analytics foundation that operations teams depend on to make decisions they can trust: designing dbt models from the ground up, shipping dashboards that actually get used, extracting insights that challenge assumptions and drive action, and using AI tooling to keep data quality tight and eliminate repetitive work at every opportunity.

What you'll do

• Own the build-out of HOLY's dbt Business and Reporting layers — translating raw operational data from our ERP (Odoo) and other supply chain planning solutions into clean, reliable metric models. Enforce the dbt modelling conventions and layered architecture principles and maintain model quality, documentation, and test coverage.
• Lead and deliver the core supply chain analytics workstreams — inventory transparency, COGS visibility, procurement pipeline, stock movements, and supplier performance — end-to-end from dbt model to dashboards in an analytics visualization solution.
• Build automated sanity checks, reconciliation monitors, and data quality alerts using AI-assisted coding/automation tools and scripting — replacing manual checks with systems that surface issues before they hit reporting.
• Run independent analysis on supply chain and operational trends. Challenge numbers when they look off. Bring an operations lens to data work, not just a technical one.
• Ensure BigQuery outputs meet our forecasting platform requirements — clean SKU data, reliable stock and demand signals, consistent schemas.
• Use AI tools and automation tooling as core operating tools — identify where manual analytical work can be replaced with agent-assisted workflows and build them.

What you'll need

• Strong hands-on dbt experience in a production environment. You've built Business or Metric layer models, not just exploration work. BigQuery proficiency is a must.
• You've built analytics for operations or supply chain teams and understand the domain from the inside. You know what inventory health, COGS, procurement pipeline, and demand signals mean in practice — and you'll challenge a number that doesn't look right without being asked.
• You're comfortable using AI-assisted coding/automation tools to build monitoring scripts, data quality checks, and lightweight automation. You see tooling as leverage and default to automating repetitive work rather than absorbing it manually.
• You can present findings to non-technical stakeholders clearly — translating data into operational implications, not just charts.
• You operate independently, flag blockers early, and own mistakes when they happen. You don't need constant direction.
• You know when to build properly and when to ship something useful now and iterate. You operate well in a lean, high-pace environment where not everything is defined.

What they offer

• Competitive salary and meaningful equity
• 28 vacation days, 30 work-from-abroad days, flexible working hours
• €1,500 learning budget and biannual 360° feedback tied to compensation
• Urban Sports Club membership and public transport subsidy
• Central office in Berlin Prenzlauerberg with modern setup