Collaborate with manufacturing customers to analyse production data and uncover performance drivers
Work closely 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 our product’s analytics layer
Write clean, well-structured code for data processing and analysis — maintainable, reviewable, and production-aware
Act as the bridge between Customer Success, Product and Engineering — turning operational insights into measurable impact

3–5 years in data analytics or process optimisation, ideally in manufacturing, automotive, pharma or other high-volume industries
Strong in SQL and Python (or similar) — able to write clean, efficient, reusable code
Experienced working with production data, sensors, or process control systems
Analytical mindset with understanding of data modelling, feature extraction and algorithmic thinking
Comfortable communicating findings to both technical and operational stakeholders
Curious, structured and pragmatic — you solve real problems, not just analyse them
Open to occasional travel to manufacturing plants

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

Employee Share Options Program for all permanent employees*
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats
Be on the forefront in defining what artificial intelligence means in manufacturing
Gain hands-on experience in working in an AI-first software company
Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact
Network with professionals and leaders in the field, opening doors to potential future career opportunities
Very flat hierarchy, open 360° feedback, and flexible working hours
Ethics: Committed to developing ethical AI software

Hybrid

Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.
Almetra is committed to creating a workplace that is diverse, fair, and inclusive.
Candidates from all backgrounds are encouraged to apply, even if they do not meet every qualification.
Accommodations are available upon request for applicants and employees with disabilities.
Occasional travel to manufacturing plants is required.

Almetra is hiring a Manufacturing Data Analyst