Data Visualization Experts in Zurich
matched in minutes from over 15,000 CVs with the power of AI.Hire experts who turn complex data into clear dashboards, executive reporting, and product visuals. They work with Tableau, Power BI, Looker, and custom charting for web and analytics teams, with fast, precise matching to vetted, available freelancers.
Meet FRATCH Experts in Zurich, who have recently used Data Visualization
Marco Skulschus
Last position:
Business Analyst, Data Warehouse Developer at NRW.Bank
Business analysis for risk controlling.
Development of a data warehouse based on MS SQL Server with data from the FIS Cross-Asset Trading and Risk Platform (formerly Front Arena).
Implementation of ETL and transformation logic with T-SQL and Python (template engine Jinja2).
Modeling and automation of data structures with Data Vault.
Building reporting and analysis reports with Microsoft Power BI, including training and onboarding of users.
Gwang Jin Kim
Last position:
Data Scientist / Applied AI, Automation & Data Systems Researcher at Independent
- Built and explored applied GenAI, RAG, GraphRAG, local LLM, agentic AI and document-intelligence prototypes for structured analysis, evidence extraction, semantic search, technical reasoning and decision-useful reporting
- Developed private local-LLM workflows and AI system patterns focused on privacy, reproducibility, reviewability, low-cost inference and practical user control
- Built reproducible Python/R workflows for data analysis, automation, API-driven tooling, validation logic, technical documentation and AI-assisted software development
- Designed workflows around explicit assumptions, traceable inputs, reviewable outputs and failure-mode awareness rather than black-box “looks good” demonstrations
- Supported RAHN AG in a chemical/regulatory environment with data extraction and processing around WERCS, a regulatory application for chemical product and compliance data
- Explored complex application/database schemas and wrote nested SQL queries to extract information for mixture calculations, component relationships, regulatory rules and reporting logic
- Continued hands-on development in Git/GitHub/GitLab/Bitbucket, Docker/Linux deployment patterns, REST/API workflows, error handling, technical writing and fast AI-assisted prototyping
- Built technical writing and documentation workflows that turn complex systems into clear runbooks, checklists, decision notes and user-facing explanations
Christoph Pardon
Last position:
ICT DevSecOps Engineer & Security Coordinator at Abraxas Informatik AG
- Interface role with the SOC team; improved incident response time by 45% through structured escalation processes and proactive security monitoring.
- Defined technical standards for a multi-tenant enterprise platform (10+ services), resulting in 30% shorter onboarding time for new clients in the public sector.
- Active knowledge transfer and mentoring of a 6-person team; increased team autonomy and established a sustainable engineering culture.
- Reduced time-to-market by 50% through CI/CD pipeline optimization and the introduction of self-service deployments.
- Stack: GitLab CI/CD, Kubernetes, Nexus, Harbor, ArgoCD, HashiCorp Vault, Grafana, Python, PostgreSQL, Java, Spring Boot, Flyway, Quarkus, JBoss, Loki, Go, Kafka, Kustomize, MongoDB
Christian Jedlicka
Last position:
Strategic Lead Financial Services & Next-Gen Finance (Voluntary Leadership Role) at Swiss FinTech Association (SFTA)
- Supporting the association through an ongoing strategic restructuring process, modernizing operational structures and improving governance.
- Founded specialist workgroups for Financial Services and Next-Gen Finance, establishing collaboration frameworks, setting priorities, and driving initiatives across the Swiss financial ecosystem.
- Strengthened SFTA’s visibility and impact by organizing high-profile industry events, expert panels, and roundtables with banks, WealthTechs, investors, and regulators.
- Initiated and secured strategic partnerships with ecosystem players to broaden the association’s reach and promote wider FinTech and WealthTech collaboration.
- Contributed to the development of thought-leadership topics and national-level initiatives aimed at enhancing Switzerland’s position as a global FinTech and WealthTech hub.
Dariusz Kaczmarkiewicz
Last position:
Business System Analyst at Zurich Insurance
Participating in a strategic enterprise project to introduce a centralized customer data platform ("Single Source of Truth") to eliminate redundant data storage and accelerate digital services
Analyzing and documenting business and system requirements for migrating large, heterogeneous data sets (ETL) and for continuous data synchronization between core systems and the new platform
Close collaboration with business units, data engineers and architects to gather and validate requirements, and to ensure data quality, consistency and regulatory compliance
Defining the migration strategy, specifying ETL processes and synchronization mechanisms, and documenting technical interfaces
Developing and executing test cases for migration and synchronization processes, and performing defect analysis to ensure data integrity and system stability
Technologies: SQL, Microsoft SQL Server, Azure DevOps, Confluence, UML, RESTful Services, Swagger, Postman
Beat Zangger
Last position:
SAP Test Manager at E.ON Grid Solutions GmbH
- Responsible for IT integration test and user acceptance test for SAP S/4 Hana and BDO BO Customer Financials Management
- Led the test team (business testers and IT testers)
- Resource planning and control within the test team
- Created test concepts and test plans
- Performed test risk analysis
- Coordinated test execution and defect tracking
- Ensured test progress
- Generated and visualized reports
- Summarized test reports and reported to management
- Prepared and conducted user acceptance tests
- Managed SIGMA and JIRA/Confluence at project level
Deborah Bucher
Last position:
Head of Marketing & Communications at Schulthess Klinik
- Oversaw the clinic's marketing strategy and developed all communications and marketing projects.
- Led and supervised the marketing & communications department, guiding a team of 5 employees.
- Demonstrated strong stakeholder engagement, providing regular reporting on marketing activities and outcomes.
- Successfully managed the marketing budget.
- Planned strategic campaigns encompassing both online and offline channels, maximizing reach and engagement.
- Ensured consistent brand identity and image across all corporate and sub-brands.
- Exceeded business goals by improving digital KPIs significantly, including a 30% increase of conversions.
- Introduced and developed the employee app "Beekeeper" for over 1,100 active users, enhancing internal communication and collaboration.
Mateusz Lipczyński
Last position:
Project Lead Developer at PwC
- Took over the analyst and leading developer role in an innovative project helping detection of financial fraud in a major financial institution in Zurich with assistance of artificial intelligence
- Analyzed and implemented new modules, improved performance and user experience, elevated technical documentation and code quality to the standard required by the end client
- Technologies: Java 17, JavaFX, Spring Boot, concurrency, UX, Gradle, Impala
Christoph Janik
Last position:
Project management, Software engineering, Software architect, DevOps at Migros Genossenschafts Bund
- Greenfield project M-Zollmanager: Development of an internal platform to support users in booking requirement areas on line items in assessment notices.
- Greenfield project M-Deliveryplan: Development of an internal platform for planning and tracking deliveries in the international transport sector.
- Created functions to predict the estimated arrival time of container ships and goods from the port of loading to the port of destination, considering potential events.
- Developed the TrackAndTrace add-on for M-Deliveryplan to track and plan goods and containers.
- Built a generic AI chatbot for Migros app infrastructure, including ChatGPT integration and creating AI workflows with N8N.
- Developed AI assistants to automate repetitive tasks, such as creating release notes or processing Jira tasks based on N8N workflows.
- Further development and maintenance of the M-LFS, M-Vehicleaccess and M-Worklog apps.
- Used C#, Angular 18, DevOps practices, N8N, Kubernetes, Docker, Jira, Confluence and Azure.
- Ongoing project with continuous development of platforms and workflows.
Discover over 15,000 top freelancers
Statistics of experts using Data Visualization
Aggregated from the professional profiles of matched freelancers.
Experience
25 years
Position duration
2.4 years
Positions per freelancer
15
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
83%
Master's degree or higher
67%
Doctorate
17%
Certifications per freelancer
3
Most common languages
German, English, French
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 Zurich 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 Zurich 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What it covers
Data visualization turns raw data into charts, dashboards, maps, and reports that people can read quickly. It is used to explain trends, compare segments, track KPIs, and support decisions in products, finance, operations, and sales. Strong work makes the story clear without hiding the detail.
Common tools
- Tableau for interactive business dashboards
- Power BI for reporting across Microsoft stacks
- Looker and Looker Studio for governed analytics
- D3.js and chart libraries for custom web visuals
- Data warehouse outputs that feed live reporting
Typical work
A freelancer may design a dashboard from scratch, improve an existing report, or build a visual layer on top of warehouse data. They may also define color systems, filters, drill-down paths, and chart logic so teams can use the output without confusion. In Zurich, this often supports banking, insurance, consulting, and product analytics.
When to bring in help
Bring in specialist support when dashboards look busy, numbers disagree across reports, or leaders do not trust the visuals. It also helps when a team needs a fast refresh for a launch, a migration from Excel to BI tools, or a better way to present live data to stakeholders.
What strong specialists do
- Turn business questions into the right chart type
- Clean and model source data before visual design
- Build clear filters, drill paths, and views
- Keep labels, legends, and scales consistent
- Check that visuals match the underlying numbers
Good fit criteria
Strong professionals understand both data and design. They know how to choose the right visual for the message, when to simplify, and how to avoid misleading charts. They also work well with analysts, product teams, and decision makers who need clear results, not decorative screens.
Frequently asked questions
Need clarity? These are the questions we hear most often about Data Visualization.
A strong Data Visualization specialist turns numbers into charts, dashboards, and reports that help teams act faster. The work may include KPI views, executive reporting, customer segmentation, trend analysis, or a custom visual layer for a web app. The best output is clear, accurate, and easy to maintain.
Data Visualization is the broader craft of presenting data clearly, while BI reporting is one common use case for it. BI tools such as Tableau, Power BI, and Looker focus on reusable dashboards and business metrics, but the same specialist may also build custom visuals in D3.js or design data stories for product teams. Companies often need both reporting discipline and visual thinking.
A Data Visualization freelancer usually knows at least one BI tool and one way to work with raw data. Common tools include Tableau, Power BI, Looker, and D3.js, plus SQL for querying source systems and sometimes Python for shaping data. The right mix depends on whether the work is dashboard reporting, product analytics, or custom web charts.
A Data Visualization project needs more than chart-making when the data is messy, the audience is senior, or the metrics are business-critical. Smaller tasks may only need someone to improve an existing dashboard, but larger work needs a specialist who can model data, design views, and validate every number. If the report will drive decisions, quality matters more than speed.
Yes, most Data Visualization work can be done remotely if the freelancer can access the source data and speak with stakeholders regularly. Zurich teams often combine remote collaboration with a few on-site sessions for discovery, review, or workshop-style feedback. Clear handover documents and shared definitions make remote work much smoother.
A good Data Visualization specialist usually brings SQL, data modeling, dashboard design, and stakeholder communication. For some projects, they also need knowledge of analytics engineering, basic scripting, accessibility, or a specific BI platform. The strongest profiles can move between business questions and technical detail without losing clarity.
Look for visuals that answer a real question, not just attractive screens. A solid Data Visualization portfolio shows clean layout, sensible chart choices, careful labeling, and examples of data storytelling across different audiences. It also helps when the freelancer can explain why a chart was chosen and how the underlying data was prepared.
Common problems in Data Visualization include cluttered dashboards, wrong chart types, inconsistent metric definitions, and visuals that hide the source of truth. Another issue is building for appearance instead of decision-making, which makes reports hard to trust. Good specialists keep the message simple and verify the numbers end to end.
The average hourly rate of freelancers in Zurich, Switzerland who have used Data Visualization in their recent projects is 125 €, which corresponds to a daily rate of about 997 € based on an 8-hour working day.
Of the freelancers in Zurich, Switzerland who have used Data Visualization in their recent projects, 83% hold at least a Bachelor's degree, 67% hold at least a Master's degree, and 17% hold a doctorate.
On average, freelancers in Zurich, Switzerland who have used Data Visualization in their recent projects have 25 years of professional experience, with a single engagement typically lasting around 2.4 years.
The most common languages among freelancers in Zurich, Switzerland who have used Data Visualization in their recent projects are German (100%), English (100%), and French (44%).
The most common industries among freelancers in Zurich, Switzerland who have used Data Visualization in their recent projects are Information Technology (78%), Banking and Finance (67%), and Professional Services (67%).
The most common business areas among freelancers in Zurich, Switzerland who have used Data Visualization in their recent projects are Information Technology (89%), Product Development (78%), and Project Management (78%).
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.
Countries:
Zurich 
Geneva Basel Bern Request a free demo
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Philipp Thomaschewski
FRATCH CEO
