Data Visualization Experts in Nuremberg
matched in minutesHire experts who create interactive dashboards, executive reports and analytical interfaces with tools such as Tableau, Power BI, D3.js and Looker. FRATCH matches you quickly and precisely with vetted, available freelancers for your data project.
Meet FRATCH Experts in Nuremberg, who have recently used Data Visualization
Amir A.
Last position:
Master's Thesis at Friedrich-Alexander University
- Analysis of the role of marriage as an informal insurance in Germany using econometric methods (supervisor: Prof. Dr. Harald Tauchmann).
- Prepared and cleaned multiple panel datasets and extracted relevant variables to create a final panel dataset with over 36,000 observations (2006–2020, SOEP).
- Designed an IV model in Stata to examine the causal link between couple separation and health shocks (mental/physical).
- Conducted robustness checks to ensure stability and validity of the results.
Imane H.
Last position:
Assistant Manager People insights/Intelligence at adidas HQ
- Collected, analysed, and interpreted HR data from multiple systems
- Conducted ad-hoc people data analyses for stakeholders
- Supported Employee Listening and ensured actionable survey insights
- Built intuitive dashboards and visualizations in SuccessFactors, PowerBI, and Qualtrics
- Produced regular reports and dashboards on key HR metrics
- Contributed to people analytics projects as a junior team member
- Collaborated with HR Tech and Data teams to improve data quality
- Ensured ethical and governed data use with Legal, Data Privacy, Labour Relations and Works Council
Ali D.
Last position:
Software Engineer Industrial IT & PLC at Yaskawa Europe GmbH
Designed and implemented the complete data flow architecture for the Mercedes-AMG battery case production line, from raw material processing to end-customer traceability.
Developed MQTT-based communication protocols for Siemens S7 PLC controllers to enable efficient real-time data exchange between machines and supervisory systems.
Architected a local Ubuntu-based industrial server, integrating Node-RED for data collection, MySQL databases running in Docker containers, and automated data pipelines.
Commissioned connectivity of 52 Siemens PLCs and 32 Yaskawa welding and handling robots.
Designed and implemented HMI and visualization systems to support operator interaction and production monitoring.
Designed a 2D digital twin of the production floor, visualizing real-time process data from 26 Siemens PLCs and 18 Yaskawa welding robots via Stromquelle interfaces.
Implemented data collection and camera-based measurement systems for welding quality control and automated defect visualization.
Designed and optimized MySQL database structures, including stored procedures for data processing and performance analytics.
Arun Sai T.
Last position:
AI-Backend Developer Intern at Calvergy UA
- Integrated complex AI-based energy system models into the frontend framework, enabling the visualization of insights for 6+ key clients and maximizing energy utilization.
- Maximized energy efficiency and utilization by architecting the seamless data flow between AI models and the user interface for rapid, actionable reporting.
Felix K.
Last position:
Senior Data Scientist at Novartis Pharma AG
- Led the implementation and validation of digital technology for real-world mobility assessment across clinical trials with high compliance rates
- Headed a cross-functional initiative that bridged clinical and data science teams, aligning digital technology integration with strategic goals
- Innovated algorithm development for sensor data analysis, leveraging time-series data to extract novel insights and improve predictive accuracy
- Designed and deployed predictive models using machine learning, integrating digital device data with clinical datasets
- Delivered strategic insights through the creation of dashboards and reports, ensuring effective data quality control and visualization for clinical trials
- Ensured reproducibility in data science workflows by establishing robust coding practices, comprehensive documentation, and version control
- Co-led exploratory statistical plans for digital biomarkers, advancing understanding and application of digital technologies in healthcare research
- Advised clinical teams as a subject-matter expert on digital technologies, fostering strategic integration and effective utilization in clinical trials
- Managed stakeholder engagement by collaborating with internal and external stakeholders, including contract research organizations and technology vendors
- Influenced decision-making by presenting analyses and findings to various management levels and stakeholders, emphasizing actionable insights and implications
- Disseminated knowledge through peer-reviewed publications
Pawan S.
Last position:
CAPTCHA Recognition using CRNN
- Built a CRNN model with VGG16 and BiLSTM backbone for text-based CAPTCHA recognition
- Achieved 9.37% character error rate and 68.36% sequence accuracy on validation data
- Expanded data augmentation pipeline with distortions, noise injection, and clutter to improve robustness
- Conducted detailed error analysis on confusable characters (O, Q, D) and proposed error-specific augmentation
- Tech Stack: Python, TensorFlow/Keras, OpenCV, NumPy, Matplotlib
Uddipan B.
Last position:
Research Team Member at Munich Music Labs, TUM
- Focused on exploring the intersection of Music and AI.
Musaib P.
Last position:
Research Intern – Exploring Reasoning with Diffusion Models at Machine Learning and Perception group, FAU Erlangen-Nürnberg
- Investigating the equivalence between the Tiny Reasoning Model (TRM) and diffusion models for structured reasoning tasks such as Sudoku and maze solving.
- Exploring the reasoning and generative capabilities of diffusion models in symbolic problem-solving environments.
Vasuraj B.
Last position:
Cloud Data Analyst at Bhatia Reply
- Analyzed 50K+ customer records using SQL and Python in a cloud services firm, identifying trends
- Designed interactive Tableau dashboards for sales and marketing stakeholders, reducing report
- Developed ARIMA and AutoARIMA time series models to forecast AWS resource utilization, cutting
- Automated ETL pipelines with Python, improving workflow efficiency by 20% for scalable data
- Collaborated with DevOps teams to deploy 3 machine learning models in production using Docker
Jens M.
Last position:
Startup Coach & Innovation Expert at Strascheg Center for Entrepreneurship (SCE)
- Coaching and consulting for prospective international founding teams
- Conducting workshops and events on entrepreneurship and innovation
- Organizing the idea competition "Strascheg Award"
Aqsa Y.
Last position:
Multilingual Translation Tool - NLP Project
- Integrated MarianMT (Marian Machine Translation) models to ensure high-quality neural machine translation (NMT).
- Managed model loading and tokenization via Hugging Face Transformers, optimizing for offline caching and reproducibility.
- Planned extensions: language auto-detection, batch translations, and streamlined GPU inference with PyTorch.
Andreas V.
Last position:
Senior Software Developer, Architect at ifm Solutions GmbH
- IoT platform to connect, transform and get actionable results
- Built a microservice observability solution to enhance developer and operations insights
- Did advanced performance optimizations in .NET code, DB and time series
- Provided architectural consultation for developer teams on performance, scalability, reliability and code quality
- Evaluated and built PoCs for new technologies including time series DBs and messaging platforms
- Technologies: C#/F#/Rust, InfluxDB, ClickHouse, Prometheus, Grafana, k6, RabbitMQ, EMQX, Docker, Kubernetes, Azure AKS
Discover over 15,000 top freelancers
Statistics of experts using Data Visualization
Aggregated from the professional profiles of matched freelancers.
Experience
9 years (Germany: 14 years)
Position duration
1.9 years (Germany: 2.7 years)
Positions per freelancer
6 (Germany: 9)
Top business areas
Information Technology, Product Development, Research and Development
Top industries
Information Technology, Automotive, Education
Certification focus areas
Business Intelligence, Research and Development, Information Technology
Bachelor's degree or higher
100% (Germany: 96%)
Master's degree or higher
92% (Germany: 73%)
Doctorate
8% (Germany: 13%)
Certifications per freelancer
2
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 98%)
Based on our profile pool as of 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Nuremberg 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 Nuremberg using Data Visualization
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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Data Visualization experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (75%)
- Automotive (50%)
- Education (50%)
- Manufacturing (50%)
- Professional Services (33%)
- Banking and Finance (25%)
- Healthcare (25%)
- Arts and Crafts (17%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What it does
Data Visualization turns structured and unstructured data into charts, dashboards, maps and interactive reports. It helps teams see trends, compare performance, investigate exceptions and explain complex findings without reading raw tables. Strong work connects visual form with a clear business question.
Typical deliverables
Common projects range from operational dashboards to customer analytics and public-facing data stories.
- Interactive dashboards for sales, finance, logistics and operations
- Executive reporting with filters, drill-downs and scheduled refreshes
- Geographic views, time-series analysis and KPI monitoring
- Exploratory interfaces for analysts and product teams
- Accessible charts embedded in web applications and portals
Tools and ecosystem
The ecosystem includes Tableau, Microsoft Power BI, Looker, Qlik and Apache Superset, alongside JavaScript libraries such as D3.js, Plotly and Vega-Lite. Professionals often work with SQL, Python, R, dbt and cloud data warehouses to prepare reliable data before it reaches a visual layer. Design systems, APIs and embedded analytics are also part of many implementations.
When companies need help
Companies bring in freelance expertise when existing reports are hard to trust, slow to maintain or difficult for non-specialists to use. A specialist can establish a visual language, select suitable chart types, improve dashboard performance and connect reporting to governed data sources. In Nuremberg, this can support industrial, logistics, healthcare and service teams working across local and remote locations.
- Stakeholders disagree on KPI definitions or dashboard requirements
- Manual spreadsheets delay recurring management reports
- A data product needs a usable analytical interface
- Existing dashboards contain clutter, misleading charts or weak navigation
What strong specialists bring
Strong professionals combine analytical reasoning, information design and technical implementation. They ask how a decision is made, who needs the insight and what action should follow, rather than decorating a chart. They validate calculations, document metric definitions, test filters and account for color contrast, keyboard use and different screen sizes.
Choosing the right professional
Review work that shows the full path from source data to a useful decision, not only polished screenshots. Discuss data quality, refresh logic, permissions, performance and ownership after launch. A good fit can explain trade-offs between Tableau, Power BI, custom D3.js work and other options in plain language, while collaborating clearly with analysts, designers and business teams.
Frequently asked questions
Before you brief your next project: the most common questions about Data Visualization.
Data Visualization is used to communicate patterns, comparisons, trends and exceptions through charts, maps, dashboards and interactive reports. Companies use it for management reporting, operational monitoring, forecasting, customer analysis and data storytelling.
Data Visualization makes relationships and changes easier to scan than a spreadsheet or a long report. Spreadsheets remain useful for detailed inspection and calculation, while written reports provide context; a well-designed dashboard combines concise explanation with interactive evidence.
A capable Data Visualization professional may work with Tableau, Power BI, Looker, Qlik, D3.js, Plotly or Vega-Lite. Useful adjacent skills include SQL, Python or R, data modeling, dashboard UX, accessibility, API integration and cloud data warehouse workflows.
The right level depends on the scope, data quality and number of stakeholder groups. A focused dashboard may need a specialist who can handle one reporting workflow, while a governed analytics environment calls for broader expertise in data models, permissions, performance and adoption.
Data Visualization work is often suitable for remote collaboration when data access, requirements and review processes are clear. On-site workshops can help with discovery, but distributed teams can work effectively through shared prototypes, documented metric definitions and regular stakeholder reviews; German or English language expectations should be agreed early.
Assess whether the Data Visualization answers a defined business question quickly and accurately. Check the source logic, metric definitions, filter behavior, loading speed, accessibility, visual hierarchy and whether users can identify the next action without extra explanation.
Custom D3.js work can be preferable when a product needs distinctive interactive behavior, precise visual control or a visualization embedded directly into a web experience. Tableau and Power BI are often more efficient for governed business reporting, shared exploration and standard dashboard maintenance.
A Data Visualization specialist should clarify the audience, decisions to support, source systems, refresh needs, access rules and definition of each key metric. They should also confirm the delivery environment, review process, accessibility expectations and who will maintain the work after handover.
The average hourly rate of freelancers in Nuremberg, Germany who have used Data Visualization in their recent projects is 68 €, which corresponds to a daily rate of about 544 € based on an 8-hour working day.
Of the freelancers in Nuremberg, Germany who have used Data Visualization in their recent projects, 100% hold at least a Bachelor's degree, 92% hold at least a Master's degree, and 8% hold a doctorate.
On average, freelancers in Nuremberg, Germany who have used Data Visualization in their recent projects have 9 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Nuremberg, Germany who have used Data Visualization in their recent projects are German (100%), English (100%), and French (25%).
The most common industries among freelancers in Nuremberg, Germany who have used Data Visualization in their recent projects are Information Technology (75%), Automotive (50%), and Education (50%).
The most common business areas among freelancers in Nuremberg, Germany who have used Data Visualization in their recent projects are Information Technology (75%), Product Development (75%), and Research and Development (75%).
Main locations of FRATCH Experts, who have recently used Data Visualization
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.
Berlin 
Hamburg 
Munich 
Cologne 
Frankfurt 
Stuttgart 
Dusseldorf 
Dortmund 
Essen 
Hanover Request a free demo
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Philipp Thomaschewski
FRATCH CEO
