Manufacturing Data Analyst

Full-time$50K-$65K/yr
Berlinvia Almetra CareersPosted Nov 10, 2025
Match with my CV

Technical skills

PythonSQLData analysis

Role signals

Customer success

About this role

We’re looking for a Manufacturing Data Analyst who combines solid analytical and coding skills with a strong understanding of industrial operations. You’ll work directly with customers and internal teams to translate manufacturing data into actionable insights — improving both customer outcomes and our AI analytics platform.

What you’ll do

  • 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

You are

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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

Nice to have

  • 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

What we offer

  • 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
  • We have a very flat hierarchy, open 360° feedback, and flexible working hours
  • Ethics⚖: We are committed to developing ethical AI software
  • Don't meet all the requirements?

Almetra is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities.

Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.

  • *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.

Before you apply

  • 1Which parts of your CV prove experience with Python, SQL, and Data analysis?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?
  • 4Is the listed compensation clear enough, or should you ask about salary range, currency, and benefits?

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