Data Visualization Experts in Leipzig
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Meet FRATCH Experts in Leipzig, who have recently used Data Visualization
Benjamin H.
Last position:
Service Manager (Customer, Service & Release Management, GSB 11) at Bechtle AG for ITZBund
Service & Release Management:
- Initially solely responsible for operational customer service and release management for three months until the team was scaled up
- End-to-end release communication: coordination with development and hosting, client-specific release notes, distribution management, dispatch and follow-up of feedback
- Participation in release acceptance through hands-on testing; close alignment with release planning
- SLA-driven case handling in ServiceNow; ticket processing times tracked as a KPI for improving service speed
- Central interface between federal authorities, specialist departments and development; escalation management, internal dailies and monthly client reviews
Process Development:
- As-is/to-be process analysis and visualisation (draw.io, BPMN), incl. interfaces to adjacent departments
- Service-oriented process handbook with clearly defined roles and responsibilities
- Walkthrough and optimisation of service processes in the ITSM framework together with IT
- Incident workflows between ITSM tools and Jira; Jira project configuration and shared dashboards
- Improvement management: quick clarification with development or structured submission with tracking in Jira
Enablement & Knowledge Management:
- Handbook for GSB 11 customer management incl. ServiceNow handling, work instructions and client templates
- Self-service documentation, step-by-step guides and client-specific service records in Confluence
- Supporting client authorities through the transition from rollout to live operations
- Onboarding a colleague from the GSB 7 team: knowledge transfer between teams, shared best practices and short-term reinforcement of the GSB 11 team
- Establishing post-rollout interviews to evaluate the transfer of responsibilities between departments
- Evaluation of internal AI agents for incident communication and guide creation
Knud W.
Last position:
Lead Programmer, Architect and Deputy Product Owner at Bundesagentur fĂĽr Arbeit
- Lead programmer, architect and deputy product owner
- Completed transition from zPDV to STEP
- Ensured quality of C++ and Perl sources through automated and manual checks
- Supported resolution of incidents and errors in testing
- Implemented batch for supplementary assignment of payment run numbers
- Implemented batch for distribution of SGB 2 information to the central payment unit
- Supported replacement of Solaris with Linux
- Upgraded gcc from 7.4 to 9.3
- Programmatically generated Makefiles from Borland projects for builds
- Extended funding data with new attribute “Kennzeichen Fahrtkosten Praktikum”
- Programmatically generated XSD and WSDL files from IDL definitions
- Represented the product owner when needed
- Implemented batch for one-time payment processing
- Developed generator for Liquibase files
- Implemented and maintained regular anonymization of production data
- Supported migration from SLES 12 to SLES 15
- Supported introduction of mutual TLS
- Implemented batch for sending deletion impulses to EDA BE
- Organized script directory structure
- Investigated potential introduction of String-Latin and implemented minimal solution
- Remediated security findings identified by CheckMarx
- Supported PAP recalculations and general change notices
- Converted ERP interfaces from SOAP to REST
- Planned technical and business topics such as register modernization, cash register security, training costs, four-eyes principle
Purva S.
Last position:
Working Student - Product Management at Lecturio
- Optimised feedback and issue workflows in Confluence database for improving LMS stability.
- Refined release communications, enabling marketing to plan release campaigns 1 day before instead of 1 week after.
- Tested AI features (e.g., AI Tutor) and delivered feedback, enhancing model accuracy and UX by approx 20%.
Mostafa S.
Last position:
Freelance Senior Software Engineer & AI Consultant at Self-employed
- Led the development of a complex geospatial data platform, engineering an end-to-end system for processing and analyzing high-resolution aerial imagery.
- Engineered a scalable backend responsible for on-the-fly map tile serving and running complex data analysis queries using PostGIS and Python.
- Developed and trained custom computer vision models using Python, PyTorch, and YOLOv8 to perform object detection and segmentation on large-scale datasets.
- Built modern, responsive user interfaces and data visualization dashboards using Next.js, TypeScript, and React.
- Gained practical expertise in geospatial libraries such as GDAL and Rasterio for processing and manipulating raster and vector data.
- Managed the entire project lifecycle, from initial technical architecture and database design to final deployment using Docker.
Michael K.
Last position:
Senior Frontend Developer at Defense
- Design and implementation of a graph-based UI for network analysis in direct collaboration with product management.
- Integration and customization of backend persistence.
- Extension of a UI for situational overview, sensor management, and event processing.
Sebastián K.
Last position:
Smart Charging at Mercedes-Benz, MBTI
Agile software development in an interdisciplinary environment
Cross-team collaboration to achieve important milestones
Independently developing new and improving existing features
Estimation, refinement, implementation, and presentation
Finding solution ideas, analyzing problems, rolling out bug fixes
Writing automated tests, manual testing, log and error analysis
Ensuring high availability, fault tolerance, and scalability of the production environment
Rolling out releases and multi-stage infrastructure
Setting up alerts and monitoring
Pair programming, code reviews, documentation
On-call duty, 3rd level support
Event-Driven Architecture, Clean Code, Hexagonal Architecture
Microservices based on Go (Gin), Java 21 (Spring Boot 3), Python (FastAPI)
Terraform/OpenTofu, KQL, SQL, JSON, REST, Helm, ArgoCD, AzureCLI, K9s, OAuth2
Postgres, Redis, Kafka, Azure EventHub, Kubernetes, nginx, Ingress
AppInsights, LogAnalytics, OpenTelemetry, Datadog, OpenAPI 3, Swagger
Azure DataExplorer, Storage, KeyVault, Container Registry, Azure Functions,…
Junit5/Jupiter, testify, RestAssured, Docker Compose, Wiremock
IntelliJ, Scrum, Kanban, Teams, Confluence, OpsGenie, Arc42
GitHub CI/CD, GitLab CI/CD, Azure DevOps
EV charging protocols (EVSE, OCPP, V1G, V2G)
Discover over 15,000 top freelancers
Statistics of experts using Data Visualization
Aggregated from the professional profiles of matched freelancers.
Experience
16 years (Germany: 14 years)
Position duration
1.5 years (Germany: 2.7 years)
Positions per freelancer
9
Top business areas
Product Development, Quality Assurance, Information Technology
Top industries
Information Technology, Government and Administration, Education
Bachelor's degree or higher
100% (Germany: 96%)
Master's degree or higher
60% (Germany: 73%)
Certifications per freelancer
0 (Germany: 2)
Most common languages
English, German, Arabic
Speak two or more languages
100% (Germany: 98%)
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Leipzig are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts in Leipzig 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 29 Oct 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 (83%)
- Government and Administration (67%)
- Education (50%)
- Banking and Finance (50%)
- Professional Services (50%)
- Tourism (50%)
- Automotive (33%)
- Insurance (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Turning data into insight
Data Visualization converts raw information into charts, dashboards and interactive views that people can understand and use. It supports operational monitoring, executive reporting, customer analysis, financial planning and scientific communication. Strong work connects visual form with a clear business question rather than decorating data.
Tools and ecosystem
Professionals work across business intelligence suites, custom web interfaces and analytical notebooks. Common tools include Tableau, Microsoft Power BI, Looker, Qlik, Plotly, D3.js and Python libraries such as Matplotlib and Seaborn. Useful adjacent skills include SQL, data modelling, APIs, cloud data warehouses, JavaScript and accessibility standards.
Typical deliverables
- Executive dashboards with filters, drill-downs and governed metrics
- Interactive charts embedded in web applications or customer portals
- Automated reports connected to live or scheduled data sources
- Visual exploration of sales, operations, product or research data
- Design systems for consistent charts, colour use and interaction patterns
When specialists help
Companies bring in freelance expertise when an existing report is hard to trust, slow to maintain or difficult to interpret. Specialists can consolidate disconnected sources, define meaningful measures and replace spreadsheet-heavy reporting with reusable dashboards. In Leipzig, this can support remote collaboration across product, manufacturing, logistics, research and service teams while keeping workshops available on site when useful.
What strong work requires
Good visualisation starts with data quality, context and the needs of the audience. Experienced professionals choose chart types carefully, expose uncertainty, prevent misleading comparisons and make complex filters understandable. They also test load times, mobile behaviour, colour contrast and screen-reader access, then document the logic behind each important metric.
Choosing the right professional
Review examples that show the path from source data to a decision, not only polished screenshots. Ask how the specialist handles metric definitions, permissions, refresh failures, performance and stakeholder feedback. For Leipzig-based teams, clarify language expectations, workshop availability and the balance between local collaboration and remote delivery before the engagement begins.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Data Visualization.
Data Visualization is used to reveal patterns, trends, exceptions and relationships in data. Companies apply it to performance dashboards, operational monitoring, financial analysis, customer reporting, scientific work and public communication.
Data Visualization focuses on how information is explored, explained and understood through visual forms. Business intelligence is broader and can include data integration, governance, modelling, reporting and decision processes; the two areas often overlap in dashboard projects.
A strong Data Visualization specialist may work with Tableau, Microsoft Power BI, Looker, Qlik, Plotly or D3.js. The right choice depends on data sources, audience, security needs, embedding requirements and how much custom interaction the product needs.
Data Visualization work benefits from SQL, data modelling, statistics, user experience design and information architecture. Specialists may also need Python, JavaScript, API integration, cloud warehouse knowledge and accessibility testing.
The required experience depends on the scope and risk of the work. A simple internal report may need strong tool knowledge, while governed executive dashboards or embedded analytics require experience with metric design, permissions, performance and stakeholder alignment.
Data Visualization projects often work well remotely because requirements, data samples and dashboard reviews can be shared digitally. Leipzig-based companies may still prefer on-site workshops for discovery, especially when specialists must work closely with business, product or operations teams.
Assess whether Data Visualization examples make the intended decision easier, not merely whether they look attractive. Check source definitions, interaction clarity, loading behaviour, accessibility, refresh reliability and the specialist’s ability to explain design choices to non-technical stakeholders.
Before starting Data Visualization work, clarify the audience, decisions to support, source systems, metric ownership, refresh expectations and access rules. Also agree on review stages, documentation, delivery format and whether collaboration with a Leipzig-based team includes on-site sessions.
The average hourly rate of freelancers in Leipzig, Germany who have used Data Visualization in their recent projects is 81 €, which corresponds to a daily rate of about 650 € based on an 8-hour working day.
Of the freelancers in Leipzig, Germany who have used Data Visualization in their recent projects, 100% hold at least a Bachelor's degree and 60% hold at least a Master's degree.
On average, freelancers in Leipzig, Germany who have used Data Visualization in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 1.5 years.
The most common languages among freelancers in Leipzig, Germany who have used Data Visualization in their recent projects are English (100%), German (83%), and Arabic (17%).
The most common industries among freelancers in Leipzig, Germany who have used Data Visualization in their recent projects are Information Technology (83%), Government and Administration (67%), and Education (50%).
The most common business areas among freelancers in Leipzig, Germany who have used Data Visualization in their recent projects are Product Development (100%), Quality Assurance (100%), and Information Technology (83%).
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 
Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
