
Data Visualization Experts in Frankfurt
with precise AI matching, vetted freelancers and fast availabilityHire experts who turn complex data into clear dashboards, interactive reports and decision-ready visual stories across tools such as Tableau, Power BI and D3.js. FRATCH matches you quickly with precise, vetted and available freelancers.
Meet FRATCH Experts in Frankfurt, who have recently used Data Visualization
Eric B.
Last position:
Quality Assurance Manager (QSV) at Federal Employment Agency
Supporting the International Web Presence of the BA (IntWeb) project in the area of quality management, with the aim of taking responsibility for the quality of processes and project results while considering BA standards. The main objectives of the project are to give professionals abroad a quick overview of their opportunities for moving to Germany and to enable them to take the necessary steps consistently and with digital support by providing access to services.
Defining the general guidelines in the QA handbook
Summarising test results in QA reports for PLA
Analysing project results for improvement opportunities
Quality management of requirements analysis (particularly processes, methods, and tools)
Ensuring compliance with SERA requirements
Creating a cross-project test concept
Agreeing on sprint completion reports
Formal review of work results in accordance with requirements and/or the project plan
Contact person for internal audit, external audits by auditors, or BRH (Federal Court of Audit)
Technologies: JIRA, Confluence, MS Office, GitLab, Kubernetes
Felix T.
Last position:
Data Engineering and Power BI at Wesernetz Bremen
Independently built a data platform with cross-system process monitoring.
- Designed the Bronze/Silver/Gold architecture and Python-based pipelines for diverse operational sources.
- Cleaned, harmonized, and validated data; processed and stored it in Parquet format.
- Tracked data history and built business-focused fact and dimension models for traceable reporting.
- Automated data delivery with Python and Power Automate (desktop and cloud); used SharePoint for archiving and data access.
- Developed the Power BI solution from data preparation through to visualizing process statuses, work progress, and deviations.
Technologies: Python, SQL, Parquet, Power BI, Power Query, Power Automate, SharePoint, Copilot
Kurt H.
Last position:
Interim Scrum Master / Agile Delivery Lead at Boehringer Ingelheim (via Fusion Consulting)
- Senior agile practitioner in a complex, regulated pharmaceutical environment — facilitating Scrum ceremonies across three international teams (~40 people) while supporting delivery governance and agile coaching.
- Time-limited assignment to bridge the gap until the client could fill the role internally
- Facilitated all Scrum ceremonies (Sprint Planning, Daily Stand-up, Review, Retrospective) across multiple international teams; kept sprints predictable and productive
- Coached teams and Product Owners in agile practices within a GxP-regulated environment, pragmatically balancing agile ways of working with QMS compliance requirements
- Tracked and visualized delivery metrics, managed dependencies, and produced status reports for senior stakeholders and Steering Committee
- Stepped up to project leadership of the internal CCMS product initiative: introduced structured processes and transparent tooling into a previously low-governance environment
- Actively contributed to the company-wide Agile Community of Practice, including authoring blog articles on agile topics
- Commended for analytical thinking, reliability under pressure, and the ability to manage multiple workstreams simultaneously
Torsten F.
Last position:
Data Analyst, Requirements Manager at Isabellenhütte Heusler GmbH
Analysis of the existing reporting platform, including processes and governance topics, with stakeholders from Sales and Marketing.
Detailed analysis and evaluation of customer-defined requirements for existing reporting and new dashboards to be established.
Support for stakeholders in managing sales processes and identifying KPI trends at an early stage.
Use of Microsoft Power BI as the central analysis and reporting platform.
Development of a proposal for the required further development of processes and the Power BI platform.
Documentation of AS-IS business processes and derivation of company-wide KPIs, including coordination with stakeholders.
Analysis and assessment of the customer's Power BI platform.
Analysis of processes and data governance.
Documentation of AS-IS business processes.
Development of recommendations for further developing processes and the reporting platform.
Design and implementation of dashboards in Power BI.
Development of company-wide KPIs and coordination with stakeholders.
Microsoft Power BI.
Data analytics.
KPI definition and reporting.
Dashboard design and data visualization.
Stakeholder management and requirements management.
Bardiya B.
Last position:
Data Scientist at Rewe Digital GmbH
Statistical Forecasting Algorithm
- Improvement of an statistical probabilistic forecasting algorithm for sales + evaluation
- Migration from R/On-premise to Python/Snowflake
- Productionalization on Snowflake in cooperation with data engineers & DevOps
Monitoring Dashboard
- Data engineering for preparation & provisioning of necessary data/resources on Snowflake
- Development & deployment of a Streamlit dashboard in Snowflake
ML-based Probabilistic Forecasting on Vertex AI
- Development of a ML-based probabilistic forecasting algorithm from scratch
- Implementation of MLOps pipeline in Kubeflow on Google Cloud Vertex AI
Tech Stack: Python, Snowflake/Snowpark, R, Streamlit, Gitlab/Gitlab CICD, Terraform, Google Cloud, Vertex AI (aiplatform SDK, gcloud CLI, feature store, model registry, etc), kubeflow
Eduard V.
Last position:
Lead of workshop “Introduction to AI Development Tools” at Software company in Wiesbaden
- Presentation introducing generic A.I. and Large Language Models
- Explanation of legal frameworks (EU AI Act, US CLOUD Act, DSGVO)
- Systematic review of AI tools along the SDLC and holistic systems
- Comparison of on-prem LLMs vs. cloud-based solutions, as well as change management and works council considerations
- Moderation of the discussion and definition of next steps for introducing AI development tools
Patricia E.
Last position:
Freelance UX Researcher, Concepter & Information Architect at Self-employed
- UX research, conception and information architecture services on various projects
Carlbandro E.
Last position:
IT Lecturer / Coach at Freelance
As a freelance IT lecturer and IT coach, I specialize in teaching individuals concepts like Cloud Computing, Business Intelligence, Python Programming and Agile Frameworks. My goal is to simplify complex technical concepts into practical, actionable knowledge. Through my extensive experience as an IT consultant in various sectors and roles I know about the importance of IT training - for companies and employees alike.
Harsh Vardhan A.
Last position:
System and Process Integrator 2 at Audi AG
Spearheaded the development and deployment of a Generative AI solution tailored for the automotive industry focusing on improving customer experience through AI-driven innovations.
Conducted in-depth market research to understand unique challenges and opportunities within the automotive sector by analyzing industry trends, customer pain points, and competitive offerings to inform the product strategy.
Formulated a strategic vision for the Generative AI solution targeting personalized customer experiences, aligned product vision with the company’s long-term goals and automotive market demands.
Enhanced customer satisfaction by introducing personalized AI-driven features, achieving a 15% increase in customer engagement and loyalty.
Attended and represented Audi AG on a group-wide level in workshops for AI strategy for customer experience.
Leveraged knowledge of recurrent neural networks and transformer architecture.
Utilized GPT-3 generative AI frameworks.
Employed TensorFlow and PyTorch for machine learning.
Used Tableau from Salesforce for data analysis and visualization.
Served as solution manager for the Business Architecture team.
Collaborated with business stakeholders within Audi OEM to gather requirements for CRM strategy including marketing department, CRM heads across countries, VW group brands and CARIAD SE.
Represented Audi AG in CRM strategy workshops held in different countries.
Discussed CRM strategy with head of CRM and Data based on workshop outcomes.
Conducted business analysis on gathered market data to improve customer experience.
Planned and launched marketing campaigns such as welcome mailing, license renewal reminders, Audi Progress Circle and Black Friday campaigns.
Managed project budget.
Acted as solution manager for the ONE.CRM team at CARIAD SE on loan from Audi AG.
Collaborated with business owners of VW group brands to develop a central solution.
Represented CARIAD SE in CRM strategy workshops in Spain, France and Italy.
Discussed CRM strategy with head of CRM at CARIAD SE based on workshop outcomes.
Conducted business analysis on market and brand data to improve customer experience.
Planned and delivered campaign capabilities from template to brands such as welcome mailing for Audi AG, SEAT and SKODA.
Managed project budget together with head of CRM.
Mathew D.
Last position:
Data Science Expert and AI Strategist at Freelancer
- Built an API to ingest, clean, translate, and index EU tenders documents in Neo4j, enabling hybrid search with RAG and Cypher queries via a Streamlit dashboard
- Deployed the API on AWS Lightsail container services with CI/CD automation via GitHub Actions, ensuring stability through pytest unit and integration tests
- Designed and developed a comprehensive online course on data analysis using ChatGPT for professionals and learners, creating instructional videos and interactive Jupyter notebooks
- Utilized OBS and professional audio equipment to ensure high-quality video and audio content
- Led a CRM data normalization and cleaning project visualized via a Sankey diagram to aid customer understanding and pipeline development
- Implemented and validated a genAI-driven web crawling strategy on AWS, ensuring data quality, scalability, and CRM data augmentation
Jana C.
Last position:
Freelance Business Intelligence Consultant at Superprof Germany & Upwork
- Design an interactive Tableau dashboard to analyze historical aviation accidents using data from the Federal Bureau of Aircraft Accident Investigation
- Develop visualizations to provide actionable insights to improve aviation safety measures employing data modeling and transformation techniques
- Develop a Power BI dashboard to monitor sales KPIs and product performance integrating data from multiple sources
- Design a star schema data model and implement advanced DAX measures for high-performance and dynamic reporting
- Design a comprehensive BI architecture solution focusing on ETL pipelines, data integration, and data governance
- Recommend Power BI as the central tool and create a security-compliant implementation roadmap
Mobin R.
Last position:
Senior Consultant and Chief Product Owner at Luxota Travel Tech
- Coached teams in Agile methodologies and Scrum framework implementation.
- Aligned the product roadmap with business goals such as increasing bookings, improving user experience, and expanding supplier integrations.
- Collaborated with developers and third-party providers to ensure smooth API integration and end-to-end functionality.
- Created and continuously refined the product backlog with user stories, bugs, and technical improvements.
- Prioritized backlog items based on business value, revenue impact, and regulatory deadlines.
- Worked closely with backend and frontend teams to clarify dependencies and prioritize technical debt.
Benedikt B.
Last position:
CRM Project Management at REWE Group & PENNY GmbH
- Loyalty Program Penny App: Go-Live preparation
- Training
- Operational structuring
Basil S.
Last position:
Senior Developer / Data Engineer at Large energy-sector company
- Co-founded the Real-Time Data team, which grew to 10 members over time.
- Developed and delivered core data products.
- Optimized real-time application performance and implemented monitoring, alerting and logging solutions to ensure system stability.
- Created and maintained deployment pipelines.
- Collaborated with teammates, architects and experts in an agile Scrum environment.
- Operated applications, analyzed, tested and troubleshot software solutions.
Khaled T.
Last position:
Consultant / DevOps Engineer at Dr. Ing. h.c. F. Porsche Aktiengesellschaft
- Porsche ID is a unified digital identity platform providing secure authentication and seamless access across Porsche’s online services, mobile apps, and connected vehicle features
- Designed and implemented new authentication and authorization functionalities for both users and systems
- Ensured high availability, security, and performance to deliver a flawless digital experience for Porsche customers
- Technologies: Auth0, Angular, Tailwind, AWS, Terraform, Github
- Methodologies: Scrum and SAFe
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
2 years (Germany: 2.7 years)

Positions per freelancer
10 (Germany: 9)

Top business areas
Information Technology, Product Development, Business Intelligence

Top industries
Information Technology, Automotive, Banking and Finance

Certification focus areas
Business Intelligence, Information Technology, Project Management
Bachelor's degree or higher
95% (Germany: 96%)
Master's degree or higher
77% (Germany: 73%)
Doctorate
27% (Germany: 12%)

Certifications per freelancer
4 (Germany: 2)

Most common languages
German, English, French

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 Frankfurt 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 Frankfurt 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 (86%)
- Automotive (46%)
- Banking and Finance (46%)
- Education (39%)
- Energy (39%)
- Manufacturing (39%)
- Professional Services (39%)
- Retail (36%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What It Delivers
Data Visualization turns raw information into charts, dashboards and interactive visual experiences that people can understand and use. It connects data sources, analytical logic and visual design so teams can spot trends, compare performance and act with confidence. Typical outputs include executive dashboards, operational monitoring views, customer analytics and public-facing data stories.
Core Formats
Professionals select visual forms that fit the question rather than decorating a report. Time-series charts reveal change, maps show geographic patterns, and distribution plots expose outliers or data quality issues. Interactive filters, drill-downs and annotations help different audiences explore the same governed information without losing context.
Tools And Ecosystem
The work spans business intelligence suites, open-source libraries and custom web applications. Common environments include Tableau, Microsoft Power BI, Looker, Qlik, D3.js, Plotly and Apache Superset. Strong specialists also work with SQL, Python, R, APIs, cloud warehouses and semantic models, while applying accessibility and responsive design principles.
- Connect dashboards to warehouses, APIs and operational systems
- Build reusable charts, calculated fields and interactive filters
- Establish metric definitions, permissions and refresh workflows
- Improve load speed, readability and accessibility
When Companies Need Help
Companies bring in freelance expertise when an important reporting initiative needs to move quickly, an existing dashboard has lost trust, or internal teams lack visual and analytical capacity. The need may arise during a warehouse migration, a KPI redesign, a product launch or the rollout of self-service reporting. In Frankfurt, specialists may support finance, logistics, manufacturing, healthcare and professional services teams through remote or on-site collaboration.
What Good Work Requires
Quality depends on more than attractive charts. A capable professional clarifies the business question, tests the underlying data, documents definitions and designs for the decisions users must make. They challenge misleading comparisons, handle missing values, protect sensitive information and validate the result with real users. A clear handover should include source logic, maintenance notes and guidance for future changes.
Choosing A Specialist
Review work that resembles your data, audience and delivery environment. Ask how the specialist approaches data modeling, dashboard governance, performance and accessibility, then request a practical explanation of one past decision. For Frankfurt-based collaboration, clarify language, workshop formats, security access and the balance between remote delivery and on-site sessions before work begins.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Data Visualization.
Data Visualization is used to communicate patterns, comparisons, trends and exceptions through charts, dashboards and interactive reports. Companies use it for financial reporting, operational monitoring, customer analysis, planning and executive decision-making.
Data Visualization emphasizes exploration, context and visual communication rather than presenting fixed tables alone. Standard reporting can document results, while a well-designed dashboard lets users filter information, investigate causes and see changes as data is updated.
A strong Data Visualization specialist may work with Tableau, Power BI, Looker, Qlik, D3.js, Plotly or Apache Superset. The right tool depends on data sources, governance needs, user skills, deployment constraints and whether the result is a business dashboard or a custom web experience.
A capable Data Visualization professional usually brings skills in SQL, data modeling, statistics, user experience and visual design. Experience with Python or R, APIs, cloud warehouses, access controls and dashboard performance can also be important.
The right level for a Data Visualization project depends on its scope and risk. A simple report may need focused tool expertise, while an enterprise dashboard requires stronger skills in data architecture, governance, stakeholder facilitation, accessibility and long-term maintenance.
Yes. Data Visualization projects often work well remotely when data access, review routines and decision owners are clearly defined. For Frankfurt teams, on-site workshops can still help with discovery, KPI alignment and user testing, while delivery and documentation continue online.
Ask a Data Visualization expert to explain the business question, data model and design choices behind a relevant example. Check whether they validate metrics, address accessibility, document calculations and test dashboards with the people who will use them.
Reliable Data Visualization starts with verified source data, explicit metric definitions and honest visual scales. Professionals should show uncertainty where it matters, avoid unnecessary decoration, protect sensitive information and make refresh logic and ownership clear.
The average hourly rate of freelancers in Frankfurt, Germany who have used Data Visualization in their recent projects is 94 €, which corresponds to a daily rate of about 748 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Data Visualization in their recent projects, 95% hold at least a Bachelor's degree, 77% hold at least a Master's degree, and 27% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used Data Visualization in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Frankfurt, Germany who have used Data Visualization in their recent projects are German (100%), English (100%), and French (21%).
The most common industries among freelancers in Frankfurt, Germany who have used Data Visualization in their recent projects are Information Technology (86%), Automotive (46%), and Banking and Finance (46%).
The most common business areas among freelancers in Frankfurt, Germany who have used Data Visualization in their recent projects are Information Technology (93%), Product Development (82%), and Business Intelligence (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.
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