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Almetra

Edge AI vision analytics for manufacturing

Manufacturing Data Analyst

Data AnalysisConfirmed live in the last 24 hours
Full-timeBerlin, Germany

About the Job

Requirements

  • 3–5 years of experience in data analytics or process optimisation, ideally in manufacturing, automotive, pharma, or other high-volume industries.
  • Strong SQL and Python (or similar) skills, including the ability to write clean, efficient, reusable code.
  • Experience working with production data, sensors, or process control systems.
  • Understanding of data modelling, feature extraction, and algorithmic thinking.
  • Ability to communicate findings to technical and operational stakeholders.

Responsibilities

  • Collaborate with manufacturing customers to analyse production data and uncover performance drivers.
  • Work with AI and backend engineers to define, test, and refine data pipelines, features, and quality metrics.
  • Build clear, reliable dashboards and reports that highlight process efficiency, bottlenecks, and improvement areas.
  • Identify anomalies or optimisation opportunities that feed back into the product’s analytics layer.
  • Write clean, well-structured code for data processing and analysis that is maintainable, reviewable, and production-aware.
  • Bridge Customer Success, Product, and Engineering by turning operational insights into measurable impact.

Desired Qualifications

  • Background in process engineering, lean manufacturing, or industrial analytics.
  • Familiarity with manufacturing software such as MES, ERP, or SCADA.
  • Experience integrating analytics into customer-facing workflows and image processing.

About the Company

Almetra

Edge AI vision analytics for manufacturing

Almetra equips production lines with AI cameras to convert shop-floor video into real-time data, including cycle times, output, utilization, and micro-stoppages. Processing happens at the edge with privacy-by-design anonymisation, and the system links vision analytics with MES/PLC/ERP context to produce actionable insights rather than just dashboards. By combining line-level analytics with input from continuous-improvement engineers, it helps factories diagnose root causes of productivity losses and drive improvements. The goal is to scale the product and expand into the US, supported by funding such as the June 2026 Series A led by blisce/.

Company size
51-200
Company stage
Series A
Total funding
$22.4M
Headquarters
Berlin, Germany
Founded
2022

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