Q-DAS Experts in Germany
in minutes from over 15,000 CVs with the power of AIHire experts who work with Q-DAS, qs-STAT and the wider Hexagon quality stack. They support statistical process control, measurement data analysis and shop-floor reporting for production teams in Germany, matched fast and precisely with vetted, available freelancers.
Meet FRATCH Experts in Germany, who have recently used Q-DAS
Ralf Pauli
Last position:
Quality Management at BorgWarner Akasol GmbH
- Quality management
- Complaint management for battery systems
- PPAP preparation
- Audit support
- Handling customer complaints
- Creating 8D reports for Daimler, Volvo
Prasanna Hegde
Last position:
Master's Thesis Student at Robotics Research Lab, TU Kaiserslautern
- Benchmarked datasets, collected real-world off-road data (~9000 images) and generated simulation datasets using Unreal Engine.
- Developed Gen-AI image segmentation in Unreal Engine, reducing time from 1-2 days to 5-10 minutes.
- Built Generative AI data enhancement pipeline. Achieved an improvement in synthetic data by +49% mIoU.
- Tech: Python, PyTorch, C++, Git, LangChain, Gen-AI, Linux, W&B, OpenCV, Labelme.
Nicole Melzer
Last position:
Interim Quality Manager, GMP and FDA Audit Preparation at Compliance Service Nord
With over 30 years of experience implementing and maintaining cGMP regulations, I support our clients in improving and streamlining their quality management (QM) processes. My passion for details, strategic and analytical mindset, and my creative, responsible team-player attitude set me apart. I prepare thorough GAP analyses and establish best-practice processes that meet guidelines - while remaining lean, efficient and practical.
Mohsen Danaei
Last position:
Quality Planning at iwis mechatronics GmbH
- Quality planning in the inquiry process for various customers (Vitesco, Bosch, VW, ...) in the field of sensors and mechatronics.
- Planning of test concepts for new products and in-house developments throughout the entire manufacturing process.
- Point of contact for customers.
- Analysis of error risks.
- Documentation of quality assurance measures.
- Designing test procedures and specific measurement methods, as well as evaluating quality and process metrics for similar series processes.
- Participation in planning component tests.
- Conducting product analyses and lessons learned, assessing and defining special characteristics, and evaluating quality and process metrics for similar series processes.
- Evaluating quality assurance agreements.
- Participation in manufacturability assessments (feasibility analyses) and in technical discussions with customers and suppliers.
- Business process analysis of customer inquiries.
Andreas Langbein
Last position:
Owner at LLPcon Business Consulting / Consulting – Automotive
- Consulting
- Interim management
- Quality management
- Project management
- Sales
- Auditing / Certification
Stefan Paul
Last position:
Career Break at Self-employed
Discover over 15,000 top freelancers
Statistics of experts using Q-DAS
Aggregated from the professional profiles of matched freelancers.
Experience
32 years
Position duration
1.5 years
Positions per freelancer
17
Top business areas
Product Development, Quality Assurance, Production
Top industries
Manufacturing, Automotive, Professional Services
Certification focus areas
Quality Assurance, Audit, Business Intelligence
Bachelor's degree or higher
80%
Master's degree or higher
60%
Doctorate
20%
Certifications per freelancer
3
Most common languages
German, English, Spanish
Speak two or more languages
100%
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Germany are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Germany using Q-DAS
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What it is
Q-DAS is a quality data analysis system used in manufacturing and metrology. It helps specialists collect, evaluate and report measurement data from production, inspection and laboratory processes. Teams use it to spot variation early and keep process quality under control.
Where it fits
- Statistical process control and trend monitoring
- Measurement system analysis and reporting
- Shop-floor and lab quality checks
- Quality dashboards for production teams
It is often used together with qs-STAT and other Q-DAS modules in broader quality workflows. In Germany, it is especially relevant where traceability, repeatable inspection and clean production records matter.
Skills around it
Strong professionals know more than the software screen. They understand measurement plans, characteristic evaluation, control charts and how to interpret data from machines, gauges and inspection stations. They also know how to clean input data and keep reporting consistent across plants.
When freelancers help
Companies bring in freelance expertise when they need to set up Q-DAS correctly, fix broken templates, clean legacy reporting or support a new product launch. They also help when teams need a short-term specialist for audits, plant transfers or quality system changes.
What good work looks like
- Clear measurement structure and naming
- Reliable import from inspection sources
- Useful charts and reports for users
- Practical rules for exceptions and limits
Good Q-DAS specialists do not only configure fields. They make the data easy to trust, easy to read and useful for decisions on the shop floor.
How teams collaborate
Many Q-DAS projects can be handled remotely, especially setup, reporting and troubleshooting. On-site work still helps when the specialist must inspect line data, talk to quality teams or align with production in Germany. The best results come from someone who can work with both technical and quality staff.
Frequently asked questions
Curious about Q-DAS? Here are the answers that come up again and again.
Q-DAS is used to collect and analyze quality and measurement data in production environments. Companies rely on it for process monitoring, inspection reporting and statistical evaluation. It is a good fit when quality decisions depend on structured measurement results.
Not exactly, but they are closely linked. Q-DAS is the broader quality data ecosystem, while qs-STAT is one of the best-known tools in that family for statistical evaluation and reporting. Many searchers use both names when looking for the right specialist.
Q-DAS is often chosen when a company needs deeper measurement-data analysis and strong reporting around production quality. Compared with lighter inspection tools, it is more focused on statistics, traceability and repeatable quality workflows. That makes it useful in regulated or high-precision manufacturing.
A strong Q-DAS specialist usually understands measurement technology, SPC, MSA and quality processes on the shop floor. Knowledge of data sources, file formats and production reporting also helps. In many cases, they need to speak clearly with quality, production and IT teams.
A Q-DAS project usually needs a clear view of the measurement plan, the data sources and the reporting goal. The specialist should know which characteristics are critical, how data is collected and who uses the reports. With that in place, setup and troubleshooting are much faster.
Yes, much of the Q-DAS configuration and reporting work can be done remotely. On-site time is useful when the specialist needs to review plant data flows, inspect connected systems or align with local quality teams. For many companies in Germany, a mixed approach works best.
Look for someone who can explain not just the tool, but also the quality logic behind it. A good Q-DAS professional can show clean data structure, stable reports and a practical understanding of measurement and process variation. They should ask about your line, your data sources and your quality rules before proposing changes.
Companies often need Q-DAS help when reports are inconsistent, templates are outdated or a new plant needs a clean setup. Freelancers also step in for migration work, audit preparation or support during product launches. In each case, the goal is to make quality data usable again.
The average hourly rate of freelancers in Germany who have used Q-DAS in their recent projects is 100 €, which corresponds to a daily rate of about 799 € based on an 8-hour working day.
Of the freelancers in Germany who have used Q-DAS in their recent projects, 80% hold at least a Bachelor's degree, 60% hold at least a Master's degree, and 20% hold a doctorate.
On average, freelancers in Germany who have used Q-DAS in their recent projects have 32 years of professional experience, with a single engagement typically lasting around 1.5 years.
The most common languages among freelancers in Germany who have used Q-DAS in their recent projects are German (100%), English (100%), and Spanish (33%).
The most common industries among freelancers in Germany who have used Q-DAS in their recent projects are Manufacturing (100%), Automotive (67%), and Professional Services (50%).
The most common business areas among freelancers in Germany who have used Q-DAS in their recent projects are Product Development (100%), Quality Assurance (100%), and Production (83%).
Main locations of FRATCH Experts, who have recently used Q-DAS
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
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