
Data Visualization Expert
to turn complex data into decisions with fast, precise AI matchingHire experts who create interactive dashboards, executive reports and analytical interfaces with tools such as Tableau, Power BI and D3.js. FRATCH connects you with vetted, available freelancers who match your requirements quickly and precisely.
Meet FRATCH Experts who have recently used Data Visualization
Dany-Armand D.
Last position:
Senior Data Scientist at ibg NDT GmbH
- Investigate the relationship between Eddy Current Testing (ECT) signals and microstructural properties
- Detect latent patterns in ECT data that reflect intrinsic material characteristics
- Develop and validate predictive models for microstructural classification and quantification, using hardness and case depth as benchmarks
- Apply Bayesian Structural Equation Modeling for advanced data analysis
Reinhold M.
Last position:
Business Requirements Engineer, Proxy Product Owner, Tester at AXA Konzern AG
Working Environment
- Insurance / Claims Management (Property, Liability, Automotive)
- REST-based ClaimAPI with Guidewire ClaimCenter
Scope
- Further development of the internal REST-based ClaimAPI with Guidewire ClaimCenter as the backend and various portals/front-end offices as clients, and with the following objectives: + increased AI-supported claims processing outside of Guidewire ClaimCenter + and support for all lines (property, liability, automotive).
- Further development of automated claims processing
Activities
- Interfacing IT & Business
- Design activities with documentation in Confluence, Jira: + Requirements engineering (functional and non-functional) + Design of REST endpoints and coordination with interface partners (esp. AI-colleagues) + Identification, design and evaluation of alternative solutions (moving away from a monolithic approach toward fine-grained endpoints, with code reuse across all lines if possible) + Creation / refinement of product backlog items in Jira, i.e. epics, user stories and tasks, incl. alignment with developers & POs during (pre-)refinement sessions + Using AXA Secure GPT when creating / refining user stories (description, acceptance criteria) and designing REST endpoints + Estimation and prioritization of user stories and tasks during Sprint Planning sessions + Coordination and support during the implementation of Product Backlog items + Driving decision making with preparation and presentation of decision-making documents
- Quality assurance: + Test management, including test case creation using Xray in Jira + Test execution using Bruno as REST client and in Guidewire ClaimCenter + Submission of test artifacts for PO approval + Analysis of production bugs
Methods Big Room Planning (aka PI-Planning in SAFe), Scrum, BPMN, EPK, UML, ERM, DDD
Tools / Tech Stack Teams, Confluence, Jira with Xray, OpenAPI/Swagger, REST, JSON, XML, MS Office, Bruno, GitHub repository (reading), Guidewire ClaimCenter, AXA Secure GPT (AXA's in-house GenAI solution based on Azure OpenAI)
Katarzyna G.
Last position:
Interim Financial Accountant / Accounts Payable at Consulting for an alcoholic beverage manufacturer
- Supported monthly and annual closing activities
- Checked incoming invoices for formal and factual accuracy
- Posted incoming invoices
- Contact person for internal departments on accounting matters
- Created and maintained vendor master data
- Processed open items
- Took on additional accounting-related special tasks
- Managed the functional mailbox
- Performed payment runs
Training and knowledge transfer – Accounts Payable:
In addition to the tasks above, I was responsible for training and transferring knowledge to 8 employees of an external service provider in India who took over the accounts payable activities:
- Conducted structured training and practical guidance throughout the accounts payable process
- Trained employees in checking and posting incoming invoices, including formal and factual checks
- Taught vendor master data maintenance, open-item processing and payment runs
- Trained employees in using the functional mailbox and communicating effectively with internal departments
- Explained accounting procedures, controls and company-specific accounts payable requirements
- Conducted “Training on the Job” using practical posting cases and real business transactions
- Supported the team in independently carrying out accounts payable processes and resolving accounting questions
- Checked the quality and accuracy of work results and provided continuous feedback and coaching
- Supported the transfer of accounts payable processes to the external service provider and ensured structured knowledge transfer and an orderly handover
- Supported a smooth transition by documenting processes, clarifying responsibilities and ensuring consistent application of accounting requirements
Software: JDE, ELO, SAP Concur
Yusuf C.
Last position:
Senior Software Engineer at LeiKon GmbH
- Development of scalable backend applications with C#/.NET and Java
- Design and implementation of distributed microservice architectures
- Development and integration of REST APIs for industrial applications
- Development of modern web applications with React, Angular, and TypeScript
- Implementation of MQTT-based communication solutions
- Integration of industrial protocols such as OPC UA and Modbus TCP
- Development of batch, process control, and HMI components
- Containerization and deployment of applications with Docker
- Conducting code reviews and supporting architecture decisions
- Close collaboration with Product Owners, QA, and interdisciplinary teams
- Analysis of business requirements and implementation of technical solutions
- Further development of existing software architectures with a focus on maintainability and performance
Technologies: C#, .NET, ASP.NET Core, Java, C++, React, Angular, TypeScript, Vue.JS, MQTT, OPC UA, Modbus TCP, Docker, GitLab, MariaDB, MySQL, Linux
Stefan O.
Last position:
Founder at ProtocolEngine.io
Evidence-led health intelligence platform turning published research into personal health protocols. It scores 430 habits, foods, and supplements against the studies behind them, and moves the score when the evidence moves. Built solo.
- Built the daily ingestion pipeline across PubMed, bioRxiv, and medRxiv: 43,000+ papers from 3,400+ journals processed into 230,000+ typed evidence claims, each one traceable back to the study it came from.
- Designed the six-factor evidence scoring model and the public changelog behind it, so no recommendation ever appears without the papers underneath it. 23,000+ grade changes recorded and explained to date.
- Shipped an entity information model connecting every intervention to its mechanisms, biomarkers, and outcomes: 118 biomarkers with region-specific reference ranges, 77 mechanisms, 32 graded outcomes.
- Built the personalisation layer: blood panel ingestion that reads lab PDFs with a vision model and corrects results for draw time against the user's wake anchor, plus Oura, WHOOP, and Withings integration for daily readiness context.
- Operate eleven specialised review agents over the corpus and codebase, covering paper curation, retrieval quality, health-claim compliance across EU and US regimes, and security.
- Shipped the Evidence Assistant, a RAG assistant that answers from the claim database and cites the underlying papers, plus a B2B practitioner tier, an Expo React Native app, and localisation across 3 languages and 7 markets.
Stack: Next.js 16, TypeScript, Supabase, pgvector, Anthropic Claude, Vercel, DeepInfra.
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
Armen M.
Last position:
CTO/CPO Platform & Technology at Green Mobility Holding
- Overall responsibility for platform transformation across ERP, CRM, PIM and AI-supported process automation
- ERP transformation: Introduction and migration to Microsoft Dynamics 365 Business Central
- CRM & Growth Stack: Implementation of HubSpot as the central CRM and platform for lead and marketing automation
- Product data & Commerce Enablement: Introduction of an ePIM to scale Category Management and digital Commerce processes
- AI-supported process automation: Design and introduction of agent-based AI workflows to automate processes in Business Services, Accounting, Tender Management and Marketing
- Building a scalable platform organization consisting of Product Development, DevOps, UX, Cloud Engineering and Corporate IT
- Introduction of modern product and portfolio governance (e.g. OKRs, portfolio boards, value-based roadmaps) to manage technology-driven initiatives
- Harmonization of heterogeneous system landscapes and transformation into a modular, scalable platform architecture (ERP, CRM, PIM, integrated customer journeys)
- Coaching and development of Product Owners, Tech Leads, Delivery Managers and UX teams in building a scalable product organization
Michael B.
Last position:
Product Analytics Consultant - Trust & Safety at Kleinanzeigen
- Detecting fraud patterns and implementing effective anti-fraud rules while maintaining acceptable false positive rates to ensure a balance between safety and a frictionless user experience
- Supporting ideation and roll-out of new trust and safety features to the platform to block fraudulent activity and increase user awareness for fraud
- Supporting Product, Development and Customer Support with BI reports and further guidance to identify and fight fraud and policy violations
Mirza K.
Last position:
Agentic Automation and a RAG system
- This project involved extraction of intelligence data to support report writing for a company that provides geopolitical, global, commercial intelligence. The data have been gathered from a number of resources (interview transcripts, online data, internal documents), and then a knowledge base has been build from it. This was the basis of a complex RAG system, that was evaluated against a golden dataset. Agents have been used to find out the contradicting intelligence, the statements supporting each other, and to store back the generated knowledge.
Used: Python, RAG, LangGraph, LangChain, deepeval, MCP
Deepa K.
Last position:
Data Analyst – BI Lead Engineer at Novartis
- Leading enterprise BI transformation across Power BI & Microsoft Fabric, delivering scalable data models, automated reporting, and high-performance analytics solutions for commercial and operational leadership.
- Building and optimizing Power BI Dataflows, Fabric Lakehouse datasets, semantic models, and automated reporting pipelines to improve data scalability, governance, and reporting performance.
- Driving dashboard modernization and KPI governance by translating complex business requirements into executive-level insights, interactive visualizations, and decision-ready analytics.
- Designing end-to-end Microsoft Fabric architectures integrating data ingestion, transformation, virtualization, and enterprise reporting across cross-functional business domains with SAP BW to Qlik to Power BI migration.
- Delivering AI-enabled reporting capabilities, threshold-based alerting, and automation frameworks within the Power BI ecosystem to accelerate business decision-making.
- Partnering with commercial leadership, analytics teams, and IT stakeholders to standardize KPIs, optimize BI strategy, and deliver scalable, business-critical reporting solutions.
- Recognized for combining strong stakeholder leadership, technical architecture expertise, and business-driven analytics to deliver impactful enterprise BI transformation initiatives.
Sarvesh L.
Last position:
Data Analytics for Renewable Energy Integration at Harz University
- Created data pipelines and visualization tools to support sustainable energy decision-making
- Developed insights that could optimize renewable energy deployment and grid integration strategies
Ursula H.
Last position:
Sub-Project Lead & Scrum Master at DB Energie
Sub-project lead in an agile IT environment
Leading a software development team (10 employees)
- Leading a software development team with 10 employees
- Budget responsibility approx. 3 million euros per year
- Conducting employee and job interviews
- Responsibility for resource planning (budget and employees)
- Digitalization of a web interface
- Regular reporting to customers and stakeholders (C-level)
- Product management: developing and implementing product strategies; defining requirements to guide product development
- Structuring product development & continuous testing efficiently to quickly incorporate feedback & compliance points
- Close collaboration with stakeholders & various teams to understand requirements, set priorities, ensure rollout, and increase user-friendliness
- Project experience in an energy industry company, including the functioning of energy markets, the basics of energy generation and distribution, as well as current challenges and developments in the industry
- Project experience in the railway sector - including the structure and operation of railway systems.
- Project experience within the 16.7 Hz traction power sector incl. knowledge of regulatory processes
- Formulating the sub-project charter and the project profile according to the project standard together with the project management
- Controlling service delivery according to the project charter
- Planning and controlling human resources including budget planning for the sub-project
- Ensuring the work capacity of the sub-project participants, e.g. by requesting access rights and documents for the sub-project team
- Planning and control for the respective sub-project (time, scope, budget) including the creation of necessary documents
- Alignment with the business department and Product Owners to plan the sub-project scope and the corresponding implications
- Executing milestone planning according to the agreed process model
- Effort estimation and support of sub-project controlling as well as overall project controlling in forecasting and planning
- Reporting sub-project status (according to status slide template) including progress (according to progress measurement)
- Analyzing, preparing, and addressing action and decision requirements
- Escalating sub-project issues to the project management
- Creating and managing Change Requests (CR)
- Quality assessment of completed task packages from a project management perspective (time, scope, and budget)
- Implementation management of the overarching guidelines and requirements in the sub-project, supported by cross-functional roles on the functional and technical side.
- Identifying, managing, documenting, and communicating opportunities, risks, and dependencies within and across sub-projects
- Supporting project management in creating the overall project plan and overall status reports
- Preparing and managing commissioning including the required documents and protection needs assessment
Scrum Master in an agile IT environment supporting a software development team in the full-stack area (7 people)
- Close collaboration with stakeholders & various teams to understand requirements, set priorities, ensure rollout, and increase user-friendliness
- Implementation of the selected Scrum method, including the required events, meetings, artifacts (product backlog, sprint backlog, burndown charts), metrics, as well as conducting required training in an agile IT environment
- Preparation of Scrum events such as Daily, retrospectives, Review, Sprint planning, estimation, and refinement (agile way of working)
- Moderation of retrospectives and elimination of obstacles to move the team and product forward
- Preparation of action items and retros via whiteboard and Figma
- Application and improvement of agile methods such as Kanban, Scrum, SAFe, or Scrum of Scrums
- Tracking the "Definition of Done" and "Definition of Ready" for all work results of the development team
- Advising on information flow and communication improvements between Product Owner and project team
- Experience with automation, validation such as mandatory field checks, notification functions, creation of filters, boards, and reports via JQL, and setting up cycle time
- Use of Jira & Confluence
- Setting up a progress measurement for project management to transparently map planned vs. actual team capacities and actual efforts for user stories
- Measuring team progress: creating team KPIs: "velocity", "burn-down chart", "throughput", "costs", "quality", "scope"
- Evaluation of agile metrics, process management, and process modeling methods (BPMN, EPC, UML)
- Communication and moderation know-how
- Methodological competence proven in conflict discussions
Christine T.
Last position:
Communications Consulting at Storytrend
Most mid-sized companies already have their numbers. What is missing is the translation: a dashboard with forty tiles does not answer a single question that is actually asked in management.
Analysis
- Evaluation of existing data with Python and SQL
- Checking data quality and methodology before making a statement
- The result is an analysis that leads toward a concrete decision
Preparation
- Reports in Power BI and Tableau
- Interactive calculators and visualizations on the web
- Presentations and specialist texts for customers, sales and the public
- Analysis and communication from one source — that
Ashwin P.
Last position:
Freelance Data Scientist at Mercor Intelligence
- Architected and deployed end-to-end machine learning pipelines across classification and prediction datasets, ensuring robustness and reproducibility through MLOps best practices.
- Contributed directly to LLM model output accuracy improvement by designing and engineering specialised prompts grounded in end-to-end ML and SciML pipeline logic.
- Developed training data for large language models by formulating coding problems that models could not resolve and subsequently documenting the correct solutions.
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
Discover over 15,000 top freelancers
Statistics of experts using Data Visualization
Aggregated from the professional profiles of matched freelancers.
Experience
14 years

Position duration
2.7 years

Positions per freelancer
9

Top business areas
Information Technology, Business Intelligence, Product Development

Top industries
Information Technology, Education, Professional Services

Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
96%
Master's degree or higher
73%
Doctorate
12%

Certifications per freelancer
2

Most common languages
German, English, French

Speak two or more languages
98%
Based on our profile pool as of 16 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology 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 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 16 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 (75%)
- Education (41%)
- Professional Services (38%)
- Automotive (35%)
- Manufacturing (35%)
- Banking and Finance (34%)
- Healthcare (32%)
- Retail (27%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What it delivers
Data visualization turns structured and unstructured data into charts, dashboards, maps and interactive analytical views. It helps people identify trends, compare performance, investigate exceptions and communicate findings without reading raw tables. Effective work combines visual clarity with accurate data context.
Typical applications
Companies use visualization across operations, finance, marketing, sales, logistics, healthcare and public services. Common deliverables include:
- Executive dashboards for key business indicators
- Self-service reporting for business teams
- Interactive maps and location-based analysis
- Real-time monitoring and operational views
- Customer, product and campaign analysis
Tools and ecosystem
The ecosystem includes Tableau, Microsoft Power BI, Looker, Qlik, Apache Superset and open-source libraries such as D3.js, Plotly and Vega-Lite. Strong specialists connect these tools to SQL databases, data warehouses, APIs, spreadsheets and cloud services. They also work with semantic models, calculated measures, refresh schedules, permissions and embedded analytics.
When companies need support
Freelance expertise is useful when dashboards are slow, inconsistent or difficult to use, or when a reporting initiative must move from prototype to governed delivery. Companies also bring in specialists during a warehouse migration, a BI tool selection, a redesign of executive reporting or the rollout of self-service analytics. The right professional can clarify requirements and reduce repeated manual reporting.
Skills that matter
Good results require more than attractive charts. A capable specialist understands data modeling, SQL, statistics, information design and user research. They select visual forms that fit the question, define reliable metrics, document assumptions and test dashboards with the people who will use them. Experience with accessibility, performance and row-level security is equally valuable.
Signs of quality
Assess professionals by the reasoning behind their work, not only by polished screenshots. Look for evidence that they can trace a metric to its source, explain trade-offs and improve a dashboard through user feedback. Useful signals include:
- Clear data definitions and documented sources
- Fast, focused dashboards with sensible interactions
- Visual choices suited to the audience and decision
- Secure access and maintainable data models
- A practical handover for internal teams
Frequently asked questions
Everything clients usually want to know about Data Visualization, in one place.
Data Visualization is used to present data through charts, dashboards, maps and interactive reports. It supports trend analysis, operational monitoring, performance reviews and communication with audiences that do not work directly with databases.
Data Visualization focuses on the visual explanation of data, while business intelligence usually includes the wider process of collecting, modeling, governing and analyzing it. In practice, tools such as Tableau and Power BI combine visualization with many broader BI capabilities.
A strong Data Visualization specialist may work with Tableau, Power BI, Looker, Qlik or Apache Superset, depending on the company’s environment. Knowledge of D3.js, Plotly, SQL, data warehouses and APIs is useful when custom interfaces or complex data connections are required.
A capable Data Visualization professional often brings SQL, data modeling, statistics, information design and user research. Familiarity with accessibility, dashboard performance, permissions and cloud data services can also affect the quality of the final solution.
The right level for a Data Visualization project depends on its scope, data quality and audience. A focused dashboard may need a specialist who can shape a clear deliverable, while a governed analytics environment requires deeper expertise in modeling, security, deployment and adoption.
Yes, Data Visualization work is often suitable for remote collaboration when data access, documentation and review processes are clear. On-site workshops can still help with stakeholder interviews, metric alignment and usability testing, especially when several teams define reports differently.
Review whether Data Visualization examples make the intended decision easier, not just whether they look polished. Ask how the source data was validated, why particular charts were chosen, how performance was handled and what changed after feedback from real users.
Before starting Data Visualization work, clarify the audience, decisions to support, metric definitions, data sources, refresh needs and access rules. It is also important to agree on ownership, review stages, documentation and whether the output is a one-off report or a maintained analytical product.
The average hourly rate of freelancers who have used Data Visualization in their recent projects is 87 €, which corresponds to a daily rate of about 692 € based on an 8-hour working day.
Of the freelancers who have used Data Visualization in their recent projects, 96% hold at least a Bachelor's degree, 73% hold at least a Master's degree, and 12% hold a doctorate.
On average, freelancers who have used Data Visualization in their recent projects have 14 years of professional experience, with a single engagement typically lasting around 2.7 years.
The most common languages among freelancers who have used Data Visualization in their recent projects are German (98%), English (98%), and French (19%).
The most common industries among freelancers who have used Data Visualization in their recent projects are Information Technology (75%), Education (41%), and Professional Services (38%).
The most common business areas among freelancers who have used Data Visualization in their recent projects are Information Technology (84%), Business Intelligence (74%), and Product Development (70%).
Main locations of FRATCH Experts, who have recently used Data Visualization
Our freelancers and interim experts are at home all over Germany — available on-site in Berlin, Hamburg, Munich and every major business hub, or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.
Countries:
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