Technical Data Science / Delivery Lead

MicroAGI, Inc.; München; Vor Ort; EUR 65.000 - 90.000; Vollzeit

Zusammenfassung

MicroAGI, Inc. in München sucht eine Fachkraft für Delivery-Analytics. Sie verantworten die Überwachung aller Lab-Projekte, bauen Dashboards auf und definieren zentrale Kennzahlen.

Sie verwandeln Lieferdaten in Entscheidungen über Durchsatz und Qualität, arbeiten eng mit Labors und internen Teams zusammen und ersetzen manuelle Statusabfragen durch automatisierte Updates. Deutschkenntnisse sind von Vorteil.

Qualifikationen

• Erfahrung in Delivery-, Programm- oder Operations-Analytics.
• Starke SQL- und Python‑Kenntnisse.
• Fähigkeit, Projekte mit Zahlen zu belegen.
• Strukturierte Denkweise: Kennzahlen definieren und alle daran messen.
• Hohe Eigeninitiative – proaktives Handeln.
• Deutschkenntnisse von Vorteil.

Aufgaben

• Own delivery tracking across every active lab engagement.
• Build the reporting layer: Dashboards, queries, and definitions.
• Convert delivery data into decisions about throughput and quality.
• Collaborate with labs and internal teams to keep timelines honest.
• Replace manual status chasing with automated updates.

Kenntnisse

SQL

Python

Delivery analytics

Operations analytics

Data-driven decisions

Tools

BI tooling

Data warehouses

Jobbeschreibung

The next ten years of AI will not be won in software. They will be won in the physical world. In factories, hospitals, kitchens, fields, and homes. The companies that own that data will own the century.

microagi is building it. We are the data layer for physical AI.

Around ten lab deliveries run at the same time. Their status is currently tracked informally, which stops working at this size. You will own the numbers. What has shipped, what is late, what quality it went out at, and what it cost us to produce. Then you will build the reporting so the answer takes a second instead of a conversation.

What You Will Do

• Own delivery tracking across every active lab engagement.
• Build the reporting layer. Dashboards, queries, and the definitions behind them.
• Turn delivery data into decisions about throughput, quality, and where the bottleneck actually sits.
• Work with the labs and the internal teams to keep timelines and volumes honest.
• Replace manual status chasing with something that updates itself.

Requirements

• Strong SQL and Python. You go from raw tables to a working dashboard on your own.
• Experience owning delivery, program, or operations analytics.
• You are comfortable telling someone their project is late, with the numbers to back it.
• Structured thinker. You define a metric once and then hold everyone to it.
• High agency - you don't wait to be told what to do.
• German is a plus.

Nice to Have

• Data warehouses and BI tooling.
• A background in operations or supply chain analytics.
• Experience working directly with external partners on delivery timelines.