Data Visualization Experts in Stuttgart
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Meet FRATCH Experts in Stuttgart, who have recently used Data Visualization
Mustafa Ă–.
Last position:
Data & Business Analyst at Self-Employed / Freelancer
External consultant for various projects in the automotive industry.
Data-driven business and performance analysis
Analysis, interpretation and validation of complex business data
Identification of trends, risks and potential areas for improvement
Translation of analytical findings into actionable business recommendations
Preparation and presentation of results for business stakeholders
Sergey K.
Last position:
Managing Director Cybersecurity at CBA-Cybersecurity and Business Advisory GmbH
- Development of comprehensive services in cybersecurity, IT governance, and AI
- Building and delivering strategic security solutions such as vCISO service, ISMS, SOC-as-a-Service (SIEM, SOAR, use cases, playbooks, threat hunting, incident response), AI-driven risk and compliance tools, and frameworks for outsourcing and third-party risks
- Supporting companies in meeting regulatory requirements and certifications (ISMS, NIS-2, DORA, CRA, KRITIS, ISO 27001, TISAX, BSI IT Baseline Protection, EU AI Act)
- Promoting innovations in cybersecurity automation, AI governance, and secure digital transformation
- Responsible for company growth, client relations, and strategic partnerships
Albert F.
Last position:
Lead Product Owner at CMBlu Energy AG
- Lead Product Owner for 4 development teams
- Leading and coordinating a greenfield project with parallel implementation of core components by independent teams; managing dependencies and resources
- Establishing a data lakehouse approach, including analysis of data volumes and future requirements as part of a cloud migration (best-of-breed approach)
- Responsible for requirements analysis, selection, and piloting of a LIMS/ELN system, supported by advising decision-makers and managing external vendors
- Introducing and managing an OpenWeb UI and Azure OpenAI-based RAG system to support knowledge extraction and data-driven analyses
- Setting up, configuring, and managing Jira projects, as well as developing project-specific workflows and automations
- Implementing classic Scrum processes with all ceremonies and taking on the Scrum Master role for all involved teams
- Assisting in hiring through interviews and assessments from a product owner's perspective
- Making key architectural decisions, including selecting the platform for the data lakehouse (Databricks) and the strategic integration of LIMS and analytics platforms
Lothar H.
Last position:
Solution Manager for PoC investigation and for replacing and refining an existing cloud and IoT power plant control system at Shell AG and NEXT Kraftwerke GmbH
- Investigating the PoC and replacing and refining an existing cloud and IoT power plant control solution for certificate management of renewable energy plants (solar, wind, biomass, etc.) for the largest European renewable energy network operator, including examining the field IoT devices and their integration and network connections, aiming for automated PKI key management.
- Messaging with Kubernetes for large API-connected enterprise applications
- Risk and attack vector analysis, software quality & bug assessments
- Agile workload scheduling via Jira & Confluence
- Evaluation of pub/sub message streams for MQ and Kafka.
- Various tests with “best design approaches” for resilience patterns like circuit breaker designs, throughput measurement and monitoring, bulkhead governors – for robust EA design
- Integration of API management with IBM's API Connect to Kubernetes for platform-agnostic microservices API management designs. Google Apigee
- Solution health check approaches for load burst situations + remedy
- Research and evaluation of potential sub-service providers in the coordinating role as solution manager. CIS20 controls.
- DREAD and STRIDE security assessments.
Katherina S.
Last position:
Team Lead Instore Logistics Management at Breuninger GmbH & Co
Led the central Instore Logistics Team and oversaw support operations across 13 stores in Germany and Luxembourg, ensuring seamless coordination of logistics processes and strategic direction.
Oversaw all merchandise management processes across stores, eCommerce, and Pick from Store, ensuring alignment, efficiency, and operational consistency.
Analyzed staffing procedures and personnel costs across support teams, providing data-driven recommendations to the Executive Board for annual budget planning.
Led continuous improvement initiatives including documentation, KPI development, and performance tracking to drive operational excellence through data-based insights.
Provided technical support for new store openings and transformation projects, ensuring integration with central logistics and adherence to EU Price Indication Regulation (PAngV).
Managed optimization and digitalization projects, including piloting digital price tags across stores to enhance efficiency and customer experience.
Noushiq M.
Last position:
Projects at Institute for Intelligent Systems
- Evaluation and analysis of camera-based traffic light and sign recognition system on various LLM-based autonomous driving systems (LMDrive, BEVDriver)
- Implemented VLM based traffic notice instruction generation unit for closed-loop autonomous driving system which alerts driver in unforeseen driving incidents
- Developed independent LLM-based local chatbot with Llama, DeepSeek and Qwen including MLflow evaluation framework
Akshata N.
Last position:
Data Science Intern at Unified Mentor
- Improved predictive model accuracy by 18% using advanced feature engineering.
- Automated data pipelines via Python ETL, reducing manual work by 25%.
- Documented data flows to identify automation potential and support digitalization projects.
Divij W.
Last position:
Data Scientist at Daimler R&D, Daimler AG
- Mercedes Me is an app that connects your phone to several features in the car
- Implemented analytical KPIs for the Digital Drivers Log (Fahrtenbuch) feature
- Used PySpark on Databricks
Christoph D.
Last position:
Agentic RAG AI System at Financial Services Provider
- Developed an agentic RAG system to support the development organization.
- Technologies: Python, LangGraph, Qdrant, Claude Code, GitHub.
Harshal V.
Last position:
Project Intern at Global Shapers Stuttgart Hub
- Part of sustainability workshops and youth development sessions (“Purpose Factory”).
Discover over 15,000 top freelancers
Statistics of experts using Data Visualization
Aggregated from the professional profiles of matched freelancers.
Experience
15 years (Germany: 14 years)
Position duration
2.4 years (Germany: 2.7 years)
Positions per freelancer
7 (Germany: 9)
Top business areas
Business Intelligence, Project Management, Information Technology
Top industries
Automotive, Information Technology, Education
Certification focus areas
Finance, Information Technology, Product Development
Bachelor's degree or higher
100% (Germany: 96%)
Master's degree or higher
88% (Germany: 73%)
Certifications per freelancer
1 (Germany: 2)
Most common languages
German, English, Hindi
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 Stuttgart 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 Stuttgart 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.
- Automotive (80%)
- Information Technology (60%)
- Education (40%)
- Banking and Finance (40%)
- Professional Services (40%)
- Transportation (30%)
- Manufacturing (30%)
- Government and Administration (30%)
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 that people can understand and act on. It combines analytical thinking, visual design and technical implementation. Data viz supports operational monitoring, executive reporting, customer analysis and exploratory research.
What it builds
Companies use this discipline to create clear interfaces for complex information and recurring decisions.
- Interactive KPI dashboards for sales, finance and operations
- Time-series, geographic and funnel visualizations
- Self-service reporting for business teams
- Embedded analytics inside products and customer portals
- Data stories for presentations, research and planning
Tools and ecosystem
The ecosystem includes Tableau, Microsoft Power BI, Qlik and Looker, alongside Python libraries such as Plotly, Matplotlib and Seaborn. Web-based work often uses D3.js, Vega or JavaScript charting libraries. Strong specialists also understand SQL, data warehouses, APIs, semantic models, dashboard permissions and reliable refresh pipelines.
When to bring in expertise
Freelance expertise helps when internal teams have valuable data but lack the time or experience to make it useful. Companies often need support during a reporting redesign, a migration between BI tools, a new data platform rollout or the launch of embedded analytics. In Stuttgart, projects may involve manufacturing, mobility, software, finance or research environments, with collaboration arranged on-site, remotely or in a hybrid setup.
Signs of strong work
Good visualizations make the important signal easy to find without hiding context or uncertainty. Experienced professionals clarify the audience, decisions and data definitions before choosing a chart or layout.
- Validate data quality and metric definitions before visual design
- Select visual forms that fit the question and audience
- Design accessible, responsive and readable dashboards
- Improve load times, filter behavior and refresh reliability
- Document ownership, logic and maintenance requirements
Choosing a specialist
Review finished dashboards, not just tool lists. Look for evidence of clean information hierarchy, useful interaction, consistent definitions and sensible performance choices. The right professional can explain trade-offs between a polished executive view, an exploratory analysis and a self-service report, while working effectively with data owners, product teams and business stakeholders.
Frequently asked questions
Need clarity? These are the questions we hear most often about Data Visualization.
Data Visualization is used to present patterns, trends, comparisons and relationships in data through charts, maps, dashboards and interactive reports. It helps teams monitor performance, investigate issues and communicate findings without requiring every reader to query raw data.
Data Visualization focuses on how information is explored and communicated, while business intelligence usually covers the broader process of collecting, modeling, governing and reporting data. The two overlap in tools such as Tableau, Power BI, Qlik and Looker, but a BI implementation can exist without carefully designed visual analysis.
A strong Data Visualization specialist usually works with SQL, data modeling, statistics and dashboard usability. Depending on the project, useful adjacent skills include Python, R, JavaScript, D3.js, APIs, cloud data warehouses and access-control design.
The right level depends on the data sources, audience and delivery scope rather than the tool alone. A simple reporting view may need focused dashboard expertise, while governed enterprise analytics requires experience with semantic models, permissions, performance and stakeholder adoption.
Yes. Data Visualization projects are often well suited to remote collaboration because data reviews, design workshops and dashboard testing can take place online. On-site sessions in Stuttgart can still help when specialists need close access to operational teams, factory processes or sensitive business context.
The choice between Tableau and Power BI depends on the existing data stack, governance model, user groups and reporting workflows. A capable Data Visualization professional should compare connectivity, modeling, sharing, licensing, administration and authoring needs instead of recommending a tool based only on visual style.
Ask for examples that show the original business question, the data constraints and the final result. With Data Visualization, quality is visible in clear hierarchy, honest scales, useful interaction, accessibility, fast performance and definitions that different users interpret consistently.
A useful Data Visualization dashboard supports a specific decision and makes the next action clear. It should prioritize relevant measures, show context, expose important exceptions and avoid decorative elements that compete with the information.
The average hourly rate of freelancers in Stuttgart, Germany who have used Data Visualization in their recent projects is 84 €, which corresponds to a daily rate of about 674 € based on an 8-hour working day.
Of the freelancers in Stuttgart, Germany who have used Data Visualization in their recent projects, 100% hold at least a Bachelor's degree and 88% hold at least a Master's degree.
On average, freelancers in Stuttgart, Germany who have used Data Visualization in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 2.4 years.
The most common languages among freelancers in Stuttgart, Germany who have used Data Visualization in their recent projects are German (100%), English (100%), and Hindi (20%).
The most common industries among freelancers in Stuttgart, Germany who have used Data Visualization in their recent projects are Automotive (80%), Information Technology (60%), and Education (40%).
The most common business areas among freelancers in Stuttgart, Germany who have used Data Visualization in their recent projects are Business Intelligence (80%), Project Management (80%), and Information Technology (70%).
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 
Dusseldorf 
Dortmund 
Essen 
Hanover 
Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
