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Data Visualization Expert in Switzerland

with precise AI matching and vetted, available freelancers

Hire experts who turn complex data into clear dashboards, interactive reports and decision-ready stories with tools such as Tableau, Power BI and D3.js. FRATCH matches you quickly with precise, vetted freelancers who are available for your project.

Meet FRATCH Experts in Switzerland, who have recently used Data Visualization

Verified expert

Francesca L.

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Martech Data Lead

Ecublens
Francesca L.

Last position:

EMEA CDP Community Lead at Merkle Switzerland AG

Founded and scaled Merkle's CDP community, and built the foundation of a Centre of Excellence

  • Cultivated strong connections with C-levels of the company, securing their support and ensuring the community's efforts align with organizational goals (and vice versa when needed)
  • Nurtured vendor relationships ensuring top support to the teams and recognition for opportunities
  • Drove community growth (+100 members), cross-country collaboration, enablement, best practices, and knowledge sharing across 7+ countries, positioning Merkle as leader in CDP implementations.
Verified expert

Urs S.

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Dipl. Ing. FH

Thal
Urs S.

Last position:

CargoMonitor App at MSR Electronics GmbH

MVP app for shock logger to monitor and analyze transport data via BLE as a Kotlin Multiplatform solution for Android and iOS.

Verified expert

Christoph P.

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ICT DevSecOps Engineer & Security Coordinator

Zug
Christoph P.

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 a 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% by optimizing CI/CD pipelines and establishing 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
Verified expert

Gwang Jin K.

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Data Scientist / Applied AI, Automation & Data Systems Researcher

Zürich
Gwang Jin K.

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
Verified expert

Andreas I.

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Business Development

Unterägeri
Andreas I.

Last position:

Business Development at SoftQuadrat GmbH

  • Analysis of the current situation and repositioning of the brand
  • Building up recruiting, sales, and customer support
  • Planning for trade fair participation
  • Establishing a sales process
  • Introducing a CRM tool (Pipedrive)
  • Setting up a subsidiary in Switzerland
  • Implementing all aspects of temporary staffing
Verified expert

Mandy G.

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Founder & Principal Consultant

Biel/Bienne
Mandy G.

Last position:

Founder & Principal Consultant at MGH Consulting

  • Established an independent consulting practice offering transformation, strategy, AI enablement and operational design to organisations across Switzerland and internationally
  • Delivering pro-bono and paid engagements with NGOs, foundations, trusts and SMEs across Switzerland
  • Service offering spans governance design, digital transformation, AI tools training and data visualisation
  • Building a Swiss-based team with a vision to employ internationally experienced consultants
Verified expert

Reinhold S.

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Senior Software Developer

Risch-Rotkreuz
Reinhold S.

Last position:

Senior Software Developer at Hitachi Energy

  • Support and further development of the Leegoo Builder
  • Handling ad hoc requests
  • Definition of rules/attributes and their rules
  • Optimizing and managing SQL queries
Verified expert

Andreas H.

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Test Automation Architect

Rheinfelden
Andreas H.

Last position:

Test Automation Architect at Banking Bank (name withheld)

  • Set up a shift-left DevOps E2E system testing architecture
  • Set up "DevOps Shift-left" E2E tests for 240+ applications
  • Under NDA
Verified expert

Dariusz K.

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Business System Analyst

Zürich
Dariusz K.

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

Verified expert

Patryk S.

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Test Manager

Rheinfelden
Patryk S.

Last position:

Test Manager at HIQT GmbH

  • Set up a partnership to support UiPath from migrating new clients to the UiPath tool landscape
  • RPA testing
Verified expert

Deborah B.

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Head of Marketing & Communications

Zürich
Deborah B.

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.
Verified expert

Beat Z.

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SAP Test Manager

Zürich
Beat Z.

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
Verified expert

Ned O.

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Tech Lead

Stettlen
Ned O.

Last position:

Tech Lead at R3leaf GmbH

  • Autonomously drafted architecture and delivered production code at startup pace
  • Wrangled diverse geospatial formats (NETCDF, GeoTIFF, GML) into unified standards and built scalable climate data visualisations from hundreds of GBs of geodata in a production web app
  • Mentored developers, facilitated AI skill sharing, and contributed to competitive strategy with C-Level leadership
Verified expert

Hrvoje K.

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Researcher, Investment Research Institute

Lausanne
Hrvoje K.

Last position:

Researcher, Investment Research Institute at Pictet Group

  • Designed and implemented AI-enhanced macro-factor models improving asset allocation decisions across multi-asset portfolios
  • Developed machine learning-based FX trading strategies, integrating macroeconomic and sentiment data to identify profit opportunities
  • Models adopted by the investment committee to guide equity and currency exposure
  • Collaborated with portfolio managers to translate analytical output into actionable investment insights

Discover over 15,000 top freelancers

Statistics of experts using Data Visualization

Aggregated from the professional profiles of matched freelancers.

Experience

20 years

Data Visualization experts in Switzerland have 20 years of professional experience on average.

Position duration

2.3 years

Data Visualization experts in Switzerland stay in a single position for 2.3 years on average.

Positions per freelancer

13

Data Visualization experts in Switzerland have completed 13 positions on average over the course of their careers.

Top business areas

Information Technology, Project Management, Product Development

Data Visualization experts in Switzerland have gathered most of their hands-on project experience in Information Technology, Project Management, and Product Development.

Top industries

Information Technology, Education, Banking and Finance

Data Visualization experts in Switzerland are most in demand in Information Technology, Education, and Banking and Finance.

Certification focus areas

Information Technology, Product Development, Quality Assurance

Data Visualization experts in Switzerland earn their certifications most often in Information Technology, Product Development, and Quality Assurance.

Bachelor's degree or higher

83%

83% of Data Visualization experts in Switzerland hold at least a Bachelor's degree.

Master's degree or higher

58%

58% of Data Visualization experts in Switzerland hold at least a Master's degree.

Doctorate

25%

25% of Data Visualization experts in Switzerland have a doctorate (PhD).

Certifications per freelancer

3

Data Visualization experts in Switzerland hold 3 professional certifications on average.

Most common languages

English, German, Spanish

Data Visualization experts in Switzerland most often speak English, German, and Spanish.

Speak two or more languages

100%

100% of Data Visualization experts in Switzerland speak two or more languages.

Based on our profile pool as of 29 Oct 2026.

Daily rate distribution

0% 25% 50% 75% 100%
21% of Data Visualization experts in Switzerland charge less than €800 per day.
36% of Data Visualization experts in Switzerland charge between €800 and €960 per day.
29% of Data Visualization experts in Switzerland charge between €960 and €1120 per day.
7% of Data Visualization experts in Switzerland charge between €1120 and €1280 per day.
7% of Data Visualization experts in Switzerland charge €1440 or more per day.
<€800 €800-​960 €960-​1120 €1120-​1280 €1440+

The chart shows how the daily rates of experts in this technology in Switzerland 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 Switzerland using Data Visualization

Rates are based on recent contracts and do not include FRATCH margin.

1000
750
500
250
Rate comparison chart
Daily rate avg. 896 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

1000
750
500
250
Rate comparison chart
Median rate 900 €

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 (80%)
  • Education (47%)
  • Banking and Finance (47%)
  • Healthcare (47%)
  • Manufacturing (47%)
  • Government and Administration (47%)
  • Energy (33%)
  • Insurance (33%)

Please note that freelancers can work across multiple industries, so percentages overlap.

About the technology

What Data Visualization covers

Data Visualization turns structured and unstructured data into charts, dashboards, maps and interactive visual stories. It helps teams spot trends, compare performance and explain evidence without forcing every reader to interpret raw tables. Strong work connects visual design with sound data analysis.

Where it is used

Companies use visual reporting across finance, healthcare, manufacturing, retail, logistics and public services. Typical deliverables include executive dashboards, operational monitoring and customer analytics.

  • KPI dashboards for leadership and departments
  • Interactive reports for self-service analysis
  • Geospatial views for locations, routes and markets
  • Exploratory visuals for research and product decisions

Tools and ecosystem

The ecosystem includes Tableau, Microsoft Power BI, Qlik, Looker, Excel and open-source libraries such as D3.js, Vega-Lite, Plotly and Apache Superset. Specialists may connect these tools to SQL databases, cloud warehouses, Python or R workflows, APIs and semantic data models. The right choice depends on governance, audience, refresh needs and existing systems.

When companies need specialists

Freelance expertise is useful when a reporting initiative must move from scattered spreadsheets to a reliable visual system. Companies also bring in specialists to redesign confusing dashboards, create a reusable design system, or connect new sources without weakening data quality. In Switzerland, remote work often suits delivery, while workshops may benefit from on-site collaboration and clear language alignment.

What strong professionals deliver

Good results begin with a clear question, not a decorative chart. Strong professionals define metrics, validate sources, choose suitable visual encodings and make dashboards usable for the people who rely on them. They document logic, permissions and refresh processes so internal teams can maintain the work after handover.

  • Translate business questions into measurable views
  • Build accessible layouts with useful interaction
  • Test interpretations with real users
  • Explain limitations, assumptions and data quality

How to assess expertise

Review work that shows the reasoning behind a visual result, not only polished screenshots. Ask how the specialist handled ambiguous metrics, slow queries, changing requirements and conflicting stakeholder needs. A practical assessment can cover a small dataset, dashboard critique or prototype review. Look for careful communication, disciplined validation and a balance between clarity, detail and performance.

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Frequently asked questions

The facts hiring teams ask for most often when it comes to Data Visualization.

Data Visualization is used to present data as charts, dashboards, maps and interactive reports. It supports decisions by making patterns, exceptions and relationships easier to understand than raw tables alone.

Data Visualization makes exploration and pattern recognition easier, while traditional reports often prioritize fixed layouts and repeatable summaries. The best approach depends on the audience: operational teams may need interactive views, while regulated or recurring reporting may require tightly controlled formats.

A strong Data Visualization specialist may work with Tableau, Power BI, Qlik, Looker, D3.js, Plotly, Vega-Lite or Apache Superset. Tool choice should also reflect skills in SQL, data modeling, Python or R, APIs and cloud data warehouses.

The right level for Data Visualization depends on the scope and risk of the work. A focused dashboard can suit a specialist with a narrow tool focus, while a company-wide reporting system needs experience with governance, metric definitions, permissions, performance and stakeholder alignment.

Data Visualization is often well suited to remote delivery because data reviews, prototypes and dashboard testing can happen online. On-site workshops may still help when teams need to agree on metrics, workflows or language expectations across German-, French- or Italian-speaking regions.

Data Visualization benefits from adjacent skills in data analysis, UX design, information architecture and data storytelling. Depending on the project, knowledge of SQL, ETL processes, semantic models, accessibility and information security is equally important.

Evaluate Data Visualization by checking whether the visuals answer a defined business question and represent the underlying data accurately. Ask for examples of validation, user testing, accessibility decisions, refresh logic and documentation rather than judging appearance alone.

A Data Visualization engagement may produce a dashboard, report suite, visual style guide, data model, source connections and handover documentation. Freelancers should clarify ownership, maintenance, permissions, refresh schedules and how users will be trained before delivery.

The average hourly rate of freelancers in Switzerland who have used Data Visualization in their recent projects is 112 €, which corresponds to a daily rate of about 896 € based on an 8-hour working day.

Of the freelancers in Switzerland who have used Data Visualization in their recent projects, 83% hold at least a Bachelor's degree, 58% hold at least a Master's degree, and 25% hold a doctorate.

On average, freelancers in Switzerland who have used Data Visualization in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 2.3 years.

The most common languages among freelancers in Switzerland who have used Data Visualization in their recent projects are English (100%), German (93%), and Spanish (33%).

The most common industries among freelancers in Switzerland who have used Data Visualization in their recent projects are Information Technology (80%), Education (47%), and Banking and Finance (47%).

The most common business areas among freelancers in Switzerland who have used Data Visualization in their recent projects are Information Technology (87%), Project Management (73%), and Product Development (67%).

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.

Zurich Geneva Basel Bern

Countries:

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