
Data Visualization Experts in Berlin
for clearer decisions, matched in minutes with vetted, available freelancersHire experts who turn complex datasets into interactive dashboards, executive reports and clear visual stories across tools such as Tableau, Power BI, Looker and D3.js. FRATCH matches you quickly and precisely with vetted, available freelancers.
Meet FRATCH Experts in Berlin, who have recently used Data Visualization
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.
Nikolai G.
Last position:
Clinical Data Manager at Dr. Falk Pharma
- Used OpenCode and AI-assisted software engineering to design, implement, refactor, test, and document an end-to-end RAW/SDTM/ADaM pipeline in R for Dr. Falk Pharma (07/2026), including metadata-driven transformations, automated validation rules and QC, traceability, and reproducible clinical outputs.
Nisanthan S.
Last position:
Business Intelligence Consultant (freelance) at NBIC – Nisanthan BI Consulting
Advising companies on building, migrating and optimising BI and reporting landscapes (Power BI, SQL, Python, ETL)
5 client engagements in real estate and finance since 05/2025: taking over and stabilising existing reporting, automating recurring standard and management reports, building cash-flow models
Proposal and feasibility assessments for BI and reporting projects
Using AI-assisted development (Claude Code) to accelerate automation, tooling and web/app development
Custom ERP system
Problem: A client's core processes ran on scattered, siloed Excel files with no central data storage – error-prone, hard to scale and impossible to analyse end-to-end.
Approach: Captured the business processes and requirements, modelled the data and developed iteratively together with the business team.
Implementation: Built a tailored, web-based ERP system with a central database, role-based modules and automated reporting – delivered using AI-assisted development in Claude Code.
Timesheet app
Starting point: Time tracking based on an overgrown, macro-heavy Excel template – maintenance-intensive, single-user and error-prone.
Implementation: Migrated all functionality and VBA macros into a standalone web app with central data storage, multi-user support and automated reporting.
Cash-flow modelling
Starting point: The existing cash-flow model covered standing investments only; project developments were missing from steering.
Implementation: Built and extended the CF model to include project-development cash flows.
Optimisation: Reviewed and optimised existing CF models and expanded the KPI outputs for reporting and steering.
Anshita S.
Last position:
Business Intelligence Developer and Data Analyst at Deloitte Consulting
Specialize in turning complex data from diverse environments into actionable business value through compelling visual storytelling. I am an expert in generating actionable insights and presenting recommendations to business stakeholders. My technical proficiency in SQL, Python, and leading data visualization tools like Tableau and Power BI allows me to deliver a new generation of self-service tools and analytics services.
- Data Visualization & Storytelling: Created impactful data visualizations and dashboards in Tableau and Power BI, effectively communicating findings and presenting actionable recommendations to C-suite stakeholders and business leaders.
- Stakeholder Management: Built effective working relationships with key business stakeholders, data engineers, and other partners to achieve common data-driven goals and targets.
- Insights & Recommendations: Generated actionable insights from complex data analysis for funnel conversion, marketing performance, and ROI, directly influencing business performance and strategy.
- Data Collaboration & Empowerment: Worked closely with cross-functional teams to support the ongoing data needs of internal partners, helping to optimize internal data processes and workflows.
- BI & Data Expertise: Applied extensive experience in data modeling, data collection, data mining, and analysis to deliver end-to-end analytical solutions from stakeholder discovery to production.
Sander O.
Last position:
Interim Head of Contract Management at Enpal
- Directed the contracts management function for Europe's largest renewable energy portfolio, 10 FTE
- Implemented process automations by architecting scalable, data-driven workflows leveraging AI and traditional automation
Michael B.
Last position:
Product Analytics Consultant - Trust & Safety at Kleinanzeigen
- Detecting fraud patterns by implementing aggressive anti-fraud rules while maintaining acceptable false positive rates, reducing fraud exposure to users by up to 80%
- Supporting ideation and roll-out of new trust and safety features 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
Wolfram K.
Last position:
AI / Machine Learning Engineer (Projects & Applied AI) at UNIVERSITÉ PARIS 1 PANTHEON-SORBONNE & LIORA
- Designed and implemented a hybrid recommendation system (content-based + collaborative filtering)
- Built end-to-end ML pipelines including data processing, feature engineering, model training, and evaluation
- Developed RAG-based LLM systems using LangChain and vector databases for semantic search and knowledge retrieval
- Established MLOps workflows with MLflow for experiment tracking, versioning, and deployment readiness
- Implemented deep learning models (computer vision & classification) using PyTorch and TensorFlow
Fernando C.
Last position:
Senior Front-End Developer at Moss
- Moss is a spend-management platform for SMEs that bundles corporate cards, web-based applications and reimbursements, AP/procurement and advanced accounting in one place.
- Splits time across Accounting, Spending and Growth tribes, handling requirements gathering, public product design, coding, testing, debugging and internal apps.
- Participates in development and maintenance of the design system/UI kit and supports tooling, documentation and developer experience.
- Builds form-heavy UIs, drawer-based editing, high-density/resilient tables with server-side filters, pagination, column configurations, CSV/Excel export and bulk operations, all wired for permissions and auditability.
- Works with complex cross-entity relationships without a single-schema solution.
- Uses React, Redux Toolkit, styled-components, react-hook-form, React PDF, Vite, Lokalise, React Testing Library and Playwright.
Syeda Z.
Last position:
Store Manager at Lovisa Retail Germany GmbH
- Responsible for daily operational activities and the structured coordination of multiple tasks.
- Led and supported employees through clear communication, organization, and prioritization.
- Analyzed operational situations, made decisions, and solved problems under time pressure.
- Communicated with different contacts and ensured a high standard of service.
- Applied analytical thinking, a structured approach to work, and problem-solving skills to business-related issues.
Enrico G.
Last position:
Freelance Software & Data/AI Engineer at Freiberuflicher Software & Data/AI Engineer
- Lecturer for the GenAI Track at the Master School Institute of Technology
- Development of a full-stack AI application (React + Python/FastAPI) for automated supplier product import with intelligent column and category classification (4-layer hierarchical) including human-in-the-loop validation
Eduard K.
Last position:
Performance Marketing Manager at Acceleratiq Agentur
- Managing and scaling multiple client accounts (Meta & Google Ads) with a focus on ROAS and CPA
- Developing and A/B testing ad creatives, offers, and landing pages
- Building email and flow automations in Klaviyo (welcome, abandoned cart, post-purchase)
Ursula R.
Last position:
Sabbatical with Training at Own Sabbatical
Bertrand R.
Last position:
Interim IAM Product Owner (Identity Management) at REWE digital GmbH
- Establishing Identity & Directory Management as a new (split-off) team & product within the IAM cluster.
- Leading the “Identity & Directory Management” product (8 people) as Product Owner.
- Concept for ‘Digital Identities’, i.e. IDs with n users/accounts and strategy for a modernized product offering.
- Upgrading APIs, migrating to a containerized infrastructure, rolling out international markets & standardized solutions across the REWE enterprise group.
- Tech: OpenText™ (NetIQ) eDirectory & Identity Manager, LDAP, SAP HR/HCM, Docker/Kubernetes/Podman, REST APIs, Microsoft Active Directory & Entra ID, postgresDB, Keycloak, Ansible, Cyberark (PAM), Apache Kafka, Jira, Confluence, Miro.
Ashwin P.
Last position:
Data Scientist at Mercor Intelligence
- Elevated LLM output reliability by engineering domain-specific prompts and evaluation logic, improving reasoning consistency across production language model workflows.
- Designed advanced coding benchmarks and validated solutions to strengthen training and evaluation datasets, improving model performance on technical problem-solving tasks.
- Designed and implemented automated evaluation frameworks for technical reasoning tasks; optimized LLM output reliability by 15% through rigorous prompt engineering and rubric-based benchmarking.
Joachim G.
Last position:
Software Coordinator / Business Analyst / Developer at Kassenärztliche Vereinigung Sachsen
- Leading coordination between business units and IT
- Coordinating development and testing
- Business analysis and structured requirements gathering
- Specifying functional and technical requirements
- Integrating interfaces to internal systems
- Developing SQL queries and reports
- Documentation in Confluence Result: On-time go-live, structured and agreed project basis, ensuring a coordinated project workflow.
Discover over 15,000 top freelancers
Statistics of experts using Data Visualization
Aggregated from the professional profiles of matched freelancers.
Experience
13 years (Germany: 14 years)

Position duration
1.8 years (Germany: 2.7 years)

Positions per freelancer
9

Top business areas
Information Technology, Business Intelligence, Product Development

Top industries
Information Technology, Education, Banking and Finance

Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
99% (Germany: 96%)
Master's degree or higher
69% (Germany: 73%)
Doctorate
10% (Germany: 13%)

Certifications per freelancer
2

Most common languages
English, German, French

Speak two or more languages
97% (Germany: 98%)
Based on our profile pool as of 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Berlin 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 Berlin 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 19 Sep 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 (77%)
- Education (39%)
- Banking and Finance (36%)
- Healthcare (36%)
- Professional Services (33%)
- Retail (29%)
- Media and Entertainment (27%)
- Manufacturing (25%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What it does
Data visualization turns structured and unstructured data into charts, maps, dashboards and interactive reports that people can understand and act on. It helps teams see trends, exceptions, relationships and changes without reading raw tables. Strong work combines visual clarity with reliable data definitions and a clear business question.
Common deliverables
Companies use this expertise for:
- Executive dashboards for revenue, operations, finance and customer performance
- Interactive analytical reports with filters, drill-downs and guided views
- Geospatial maps for logistics, sales coverage and service planning
- Data storytelling for board presentations, research and public communication
- Reusable chart systems and reporting templates for internal teams
Tools and ecosystem
The ecosystem ranges from Tableau, Microsoft Power BI, Looker and Qlik to open web tools such as D3.js, Vega and Plotly. Specialists often work with SQL, Python, R, spreadsheets, APIs and cloud warehouses to prepare and query the data behind a visual product. They may also connect dashboards to Snowflake, BigQuery, PostgreSQL or enterprise reporting systems.
When to hire specialists
Freelance expertise is useful when a reporting initiative has stalled, data sources have become difficult to reconcile or an internal team needs a polished decision tool quickly. Companies also bring in specialists for dashboard redesigns, migration between BI tools, embedded analytics and data governance. In Berlin, projects may involve remote collaboration across international teams or on-site workshops with business and data stakeholders.
What strong work requires
A strong professional understands perception, hierarchy, color, accessibility and responsive interaction, but does not treat design as decoration. They define metrics with stakeholders, validate calculations, document assumptions and test whether users can answer real questions. They also know when a simple table or annotated chart is more useful than an elaborate dashboard.
How quality is judged
Review a portfolio for work resembling the intended audience, data complexity and delivery format. Ask how the specialist handled missing values, inconsistent definitions, permissions, refresh schedules and performance. Quality is visible in fast-loading views, transparent sources, useful interactions and documentation that lets teams maintain the result after handover. Clear English is often essential in Berlin’s international project teams, while German can help with local stakeholders.
Frequently asked questions
Not sure where to start with Data Visualization? These answers cover the essentials.
Data Visualization is used to present patterns, comparisons, trends and exceptions in a form that supports decisions. Typical outputs include dashboards, analytical reports, maps, exploratory charts and visual stories for business or public audiences.
Data Visualization focuses on how information is represented and understood, while business intelligence usually covers the broader process of collecting, modeling, analyzing and distributing information. The two overlap in dashboard projects, but a visual specialist may work across several BI environments.
A strong Data Visualization specialist may work with Tableau, Power BI, Looker, Qlik, D3.js, Plotly or Vega. The right choice depends on the data sources, audience, interaction needs, security model and how the company plans to maintain the result.
Data Visualization projects often require SQL, data modeling, statistics, Python or R, dashboard usability and visual design. Experience with APIs, cloud warehouses, access permissions and automated refreshes is also valuable when the output must operate as a production reporting tool.
The right level for Data Visualization depends on the scope. A focused chart redesign may need a specialist who can work within an existing model, while a company-wide reporting system calls for someone who can shape metrics, source data, governance, user research and rollout.
Data Visualization work is often well suited to remote collaboration because files, dashboards and data models can be reviewed online. On-site sessions in Berlin can still help when specialists need to map stakeholder needs, resolve metric definitions or run workshops with several teams.
Evaluate Data Visualization by checking whether users can answer important questions quickly and correctly. Review the source logic, metric definitions, accessibility, load performance, interaction design and documentation, not only the visual polish of the dashboard.
Before accepting a Data Visualization assignment, clarify the audience, decisions the output must support, source systems, data quality, refresh needs and access constraints. Also confirm the delivery format, review process, ownership of the underlying model and whether the work will be remote or include on-site collaboration in Berlin.
The average hourly rate of freelancers in Berlin, Germany who have used Data Visualization in their recent projects is 87 €, which corresponds to a daily rate of about 695 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used Data Visualization in their recent projects, 99% hold at least a Bachelor's degree, 69% hold at least a Master's degree, and 10% hold a doctorate.
On average, freelancers in Berlin, Germany who have used Data Visualization in their recent projects have 13 years of professional experience, with a single engagement typically lasting around 1.8 years.
The most common languages among freelancers in Berlin, Germany who have used Data Visualization in their recent projects are English (97%), German (95%), and French (17%).
The most common industries among freelancers in Berlin, Germany who have used Data Visualization in their recent projects are Information Technology (77%), Education (39%), and Banking and Finance (36%).
The most common business areas among freelancers in Berlin, Germany who have used Data Visualization in their recent projects are Information Technology (80%), Business Intelligence (77%), and Product Development (73%).
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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