R Expert in Berlin
for reliable analysis and reporting, matched in minutes with vetted freelance specialistsHire experts who build statistical models, reproducible reports and interactive Shiny applications with R, tidyverse and the wider data ecosystem. FRATCH matches you quickly and precisely with vetted, available freelancers.
Meet FRATCH Experts in Berlin, who have recently used R
William N.
Last position:
Power BI Solutions Architect/Engineer & AI Consultant at AVERDUNG GmbH
- Redesign of the company’s BI infrastructure: replacement of a fragmented landscape of manually maintained Excel solutions and CSV imports with a centralized Power BI environment using a unified data model as the company-wide single source of truth
- Consolidation of previously isolated reporting logic in a central semantic model – elimination of redundant files, manual data transfers and inconsistent metrics across departments
- Forecasting & Planning: Design and implementation of company-wide liquidity planning in Power BI – from business logic to a fully automated, data-source-driven planning model replacing the previous manual Excel process; enabling rolling forecasts and continuously up-to-date cash flow transparency for management
- Optimization of existing Power BI dashboards in terms of performance, structure and analytical value using an AI-native approach
- Analysis and improvement of the data model, including data quality analyses, data cleansing and consistent modeling using Star Schema, DAX and Power Query
- Incident & Anomaly Analysis: Identification, investigation and explanation of data anomalies, including root-cause analysis and specific recommendations for action
- AI Solution Architecture: Connecting Business Central and Power BI to LangDock via MCP (Model Context Protocol) for AI-supported data usage
- Development of a historical data layer as a basis for trend and time-series analyses
- AI-supported automation: Design and development of AI skills, agents, loops and processes for the automated analysis and interpretation of reports
- Automated reporting workflow: Setup of scheduled, automated email delivery of AI-generated analyses and recommendations to stakeholders
- Gathering and documentation of business requirements and coordination with business departments and IT as part of requirements engineering / product owner activities
- Breaking down overall requirements into clearly defined work packages and tasks
- Definition, prioritization and management of milestones throughout the entire project lifecycle
Tools: POWER BI, M365, Copilot Studio, MIRO, Microsoft Business Central, Microsoft Fabric, Claude AI, ChatGPT, LangDock, MS VS Code
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.
Toralf C.
Last position:
IT Consultant in PKI Software Development at BWI
- Implementation of a full-stack application with Angular as frontend framework and Java as backend language
- Use of the Swagger OpenAPI specification for REST communication between frontend and backend applications
- Control of a card printer via the Nexus Card SDK framework
- Design and implementation of card management software with web interface and JavaFX module for printer monitoring
- Use of Cucumber tests for test automation and creation of test artifacts for testing outside the development environment
- Use of Wireshark for network investigations to analyze the API of a third-party product and to check the REST API of the self-developed software
Dmitry P.
Last position:
Freelance Digital Marketing Analyst at Freelance
- Marketing Strategy: Lead the end-to-end analysis and evaluation of cross-channel marketing campaigns across the entire Customer Journey. My focus is identifying optimization potential and deriving clear, actionable recommendations that drive measurable business impact.
- Data Science & AI: Advanced predictive modeling (Churn, LTV), market basket analysis, clustering, and real-time AI-powered audience discovery utilizing RAG/LLMs.
- Marketing Analytics & Measurement: End-to-end attribution analysis, Marketing Mix Modeling (MMM), audience segmentation, conversion path analysis, and A/B testing across all major platforms.
- Data Engineering & Reporting: Designing and managing robust, multi-platform data pipelines (BigQuery, GCP) for data consolidation, automated dashboard generation, and critical API integrations.
Nitin B.
Last position:
Financial Analytics Lead at Independent Consultant
Led FP&A tech transformation for a 9-figure business – from resolving legacy technical debt to leading AI-native EPM implementation
- Driving end-to-end FP&A transformation, from architecture redesign through EPM tool selection to rollout
- Ran evaluation of 12+ EPM platforms, from vendor negotiation to selection framework tied to long-term planning
- Diagnosed constraints in financial planning architecture, presented findings to the CFO, and secured executive mandate to redesign FP&A infrastructure from the ground up
Sascha S.
Last position:
Project Manager & Interim Manager at Self-employed
- Advising executives on steering strategic initiatives and complex programs
- Focus on structuring, decision support, and implementation under uncertainty
- Most recently supporting a leading consulting firm on a defense sales project for the Ukrainian market
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.
David B.
Last position:
Senior UX Researcher & Strategic Consultant at adidas
- Leading mixed-methods discovery for the adidas Running App, using interviews, surveys (incl. choice-modeling), and AI-powered market/app-review intelligence to surface user needs and engagement opportunities.
- Partnering closely with Product, Content Storytelling, CRM, and Analytics teams to translate insights into product direction, segmentation opportunities, and rapid experimentation.
- Synthesizing extensive internal and external research to map knowns, identify critical knowledge gaps, and build an evidence-based research roadmap that supports continuous discovery and optimization.
- Championing AI-supported research practices by guiding cross-functional teams in leveraging AI for faster user feedback synthesis, market intelligence, and rapid workflows.
Raphael M.
Last position:
Founder / Quant Developer at Market Maker
- Crypto quant strategy development, automated trade execution, onchain data client (Ethereum / Solana)
- Data and trade architecture development for liquidity provision
Santina W.
Last position:
Business Analyst & BI Strategist - Comparison Portal at dataweys (self-employed)
- Assessment of the existing reporting landscape and strategic bundling of needs
- Migration and consolidation of reports to Metabase, connected to ClickHouse as the data foundation
- Building and maintaining data pipelines
Stack: Metabase · ClickHouse · Appsmith · Airflow
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.
Julien L.
Last position:
MLOps Engineer at SAMGEN
- Building and scaling cloud infrastructure on GCP to support a SaaS platform for industrial clients
- Designing and implementing a data-driven DevOps pipeline for streamlined deployment and CI/CD workflows
- Collaborating with Data Science team on MLOps workflow to automate integrated retraining
Mohammad Z.
Last position:
Scientist & Project Manager (Data-Driven Climate Analytics) at Leibniz Institute for Agricultural Engineering (ATB)
- Developed AI-powered analytics tools for drought prediction using CMIP6 data.
- Integrated UAV and satellite imagery to optimize predictive models for drought resilience.
- Designed a Decision Support System (DSS) for integrated water resources management.
- Partnered with industry and research institutions to deliver environmental monitoring solutions.
- Managed international projects, aligning data science innovations with policy and business goals.
Inbal I.
Last position:
Patent Engineer, Life Sciences at Schulz Junghans Patentanwälte PartGmbB
- Generated and submitted a complete patent application to the European Patent Office
- Drafted comprehensive patent applications, including detailed claim sections
- Analyzed inventions from multiple projects to identify innovative aspects
- Conducted comprehensive research on the state of the art and communicated results to stakeholders
- Collaborated with customers and various stakeholders to coordinate patent objectives and develop patent portfolios
Tarek S.
Last position:
Cloud Engineering at Freelancer
- Development, operation and support of BI platforms and microservice architectures
- Development of an open-source BI scheduling tool
Discover over 15,000 top freelancers
Statistics of experts using R
Aggregated from the professional profiles of matched freelancers.
Experience
12 years (Germany: 13 years)
Position duration
2.2 years (Germany: 2.7 years)
Positions per freelancer
7 (Germany: 9)
Top business areas
Research and Development, Information Technology, Product Development
Top industries
Information Technology, Education, Professional Services
Certification focus areas
Information Technology, Business Intelligence, Research and Development
Bachelor's degree or higher
100% (Germany: 99%)
Master's degree or higher
78% (Germany: 82%)
Doctorate
37% (Germany: 25%)
Certifications per freelancer
2 (Germany: 3)
Most common languages
German, English, French
Speak two or more languages
100%
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 Berlin 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 Berlin using R
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.
R 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 (58%)
- Education (56%)
- Professional Services (53%)
- Banking and Finance (42%)
- Automotive (23%)
- Healthcare (23%)
- Manufacturing (23%)
- Government and Administration (23%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What R does
R is a programming language and environment for statistical computing, data analysis and visualisation. Companies use it to turn structured or unstructured data into models, reports, dashboards and decision support. It is widely used in research, finance, healthcare, life sciences, marketing and public services.
Core capabilities
R specialists work across the full path from raw data to a clear result. Their work may include:
- Cleaning, joining and validating data from files, databases and APIs
- Building statistical models, forecasts and experiments
- Creating visualisations with ggplot2 and interactive dashboards with Shiny
- Producing reproducible reports with Quarto or R Markdown
- Packaging analysis for repeatable internal use
Ecosystem and tooling
The R ecosystem includes the tidyverse for data preparation and visualisation, data.table for high-volume processing, and tidymodels for modelling workflows. Specialists may also use Bioconductor, spatial packages, plumber APIs, Git, Docker and CI pipelines. Integration with SQL, Python, cloud storage and business intelligence tools is often part of the delivery.
When companies need help
Freelance R expertise is useful when an internal team needs focused analytical capacity or a project requires specialist statistical knowledge. Typical assignments include migrating scripts, automating recurring reports, validating a model, preparing a study, or turning exploratory work into a maintainable application. In Berlin, collaboration may combine remote delivery with workshops on site and clear communication in English or German.
What strong specialists deliver
Strong professionals connect statistical reasoning with sound software practices. They clarify the decision a model must support, select methods that fit the data, test assumptions and explain uncertainty without hiding limitations. Their code is readable, version-controlled and documented, while outputs remain reproducible for colleagues who did not create the original analysis.
Choosing the right R professional
Look for relevant evidence rather than familiarity with package names alone. A good match has delivered work similar to yours, can explain trade-offs between R and alternatives such as Python or SAS, and understands your data sources and compliance needs. Ask to review a representative workflow, discuss validation and handover, and confirm how the specialist will work with analysts, domain experts and technical teams.
Frequently asked questions
Questions about R? Start with the answers below.
R is used for statistical analysis, data visualisation, forecasting, experiments and reproducible reporting. Companies also use it to create Shiny dashboards, analytical APIs and specialised workflows for research, finance, healthcare and other data-heavy fields.
R is particularly strong for statistics, exploratory analysis, visualisation and research-oriented packages. Python often offers broader general-purpose software and machine learning tooling, so the better choice depends on the existing stack, the type of models required and how the result must be operated.
A strong R professional often works with SQL, Git, APIs, Docker and cloud data services. Familiarity with tidyverse, Shiny, Quarto, testing, data modelling and at least one complementary language can make handover and production integration smoother.
The right level of R experience depends on the work. A reporting task may need strong data preparation and visualisation skills, while a regulated model or production Shiny application calls for proven validation, documentation, testing and deployment practice.
R work is well suited to remote collaboration when data access, documentation and review processes are clear. Berlin companies may work fully remotely or combine remote delivery with on-site workshops, using English or German according to the team and stakeholders.
R connects to SQL databases, files, APIs and cloud services through established packages and interfaces. Specialists can expose analytical logic through plumber, embed results in reporting workflows or connect outputs to applications and business intelligence systems.
Review whether R code is reproducible, tested and understandable by another professional. Ask how the specialist handles missing data, model assumptions, versioning, performance and uncertainty, and request a clear explanation of how results were validated against the business question.
A maintainable R project has a clear structure, pinned dependencies, readable functions and automated checks. Reproducible reports, documented data sources, version control and practical run instructions help the internal team update the analysis without relying on its original creator.
The average hourly rate of freelancers in Berlin, Germany who have used R in their recent projects is 100 €, which corresponds to a daily rate of about 798 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used R in their recent projects, 100% hold at least a Bachelor's degree, 78% hold at least a Master's degree, and 37% hold a doctorate.
On average, freelancers in Berlin, Germany who have used R in their recent projects have 12 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Berlin, Germany who have used R in their recent projects are German (100%), English (100%), and French (21%).
The most common industries among freelancers in Berlin, Germany who have used R in their recent projects are Information Technology (58%), Education (56%), and Professional Services (53%).
The most common business areas among freelancers in Berlin, Germany who have used R in their recent projects are Research and Development (79%), Information Technology (74%), and Product Development (67%).
Main locations of FRATCH Experts, who have recently used R
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.
Hamburg 
Munich 
Cologne 
Frankfurt 
Dusseldorf 
Essen 
Nuremberg Countries:
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