Dashboarding Experts in Munich
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Meet FRATCH Experts in Munich, who have recently used Dashboarding
Philipp Grunert
Last position:
Data Scientist & ML Engineer at Data-Science Factory GmbH
- Building, implementing and selling automated Data Science solutions such as Scorecard Factory and Forecast Factory
- Implementation of automated end-to-end cloud processes
- Development of LLM and NLP models
- Creation of interactive reports
- Support for national and international large corporations as well as medium-sized companies in implementing ML projects
Azadeh Tavassoli
Last position:
AI Engineering Fellow at Turing College
- Completed an intensive AI Engineering Program focused on LLM evaluation, retrieval, agent orchestration, and multimodal workflows.
- Designed retrieval pipelines with document ingestion, semantic search, and citation-aware outputs using LangChain and ChromaDB.
- Built LangGraph-based agent workflows with state handling, clarification loops, and human-in-the-loop approval steps.
- Applied prompt engineering and evaluation patterns, including scoring logic and guardrails, to improve output quality and reliability.
- Worked extensively with Python, FastAPI, OpenAI APIs, LangChain, LangGraph, and ChromaDB in end-to-end implementations.
Sara Zarei
Last position:
Data Analyst / Analytics Engineer at IDG Tech Media GmbH
- Designed, built, and maintained scalable ETL/ELT data pipelines using Python, SQL, REST APIs, AWS Lambda, S3, PostgreSQL RDS, EventBridge, CloudWatch, Docker, Apache Airflow, and BigQuery – integrating data from GA4, Google Ads, Meta Ads, CMS, CRM, newsletters, events, and B2C ordering systems into analytics-ready datasets.
- Built a cross-brand lakehouse architecture from AWS to BigQuery – transforming raw JSON/CSV data into structured, partitioned, and reusable reporting layers with staging, intermediate, canonical, and mart models.
- Designed relational and dimensional data models: 3NF staging models, star schemas, fact tables, dimension tables, daily KPI aggregates, and dashboard-optimized marts for marketing, content, subscription, event, CRM, and revenue analysis.
- Implemented production-grade data quality and pipeline reliability features: incremental loads, idempotent upserts, deduplication, schema validation, row matching, null checks, anomaly detection, freshness monitoring, logging, retries, and error alerts.
- Automated cross-brand reporting processes and data products – pipelines for 73 newsletter campaigns, 31 lead list syncs, 52 event partner reports, and a 500K-record company matching pipeline; reduced manual data preparation by approx. 70% and increased analyst productivity by approx. 30%.
Leon Agatic
Last position:
Tableau Developer | Supply Chain Analytics (freelance) at ALDI International Services SE & Co. oHG
- Led end-to-end Tableau development connected to SAP BW, building dynamic dashboards for Supply Chain Management (SCM) use cases.
- Translated supply chain strategy goals into actionable, data-driven dashboards supporting operational and strategic decision-making.
- Delivered insights that improved supply chain visibility, risk mitigation and inventory efficiency across key functions.
Bengisu Yapar
Last position:
Freelance BI, AI & Digital Strategy Consultant at Various Clients
- Delivered AI-driven business and marketing strategies to global clients across various sectors.
- Supported small businesses and entrepreneurs with social media content creation, web design, UX/UI improvements, and digital marketing strategies.
- Automated analytics workflows and developed dashboards to monitor campaign performance and engagement metrics.
- Helped clients enhance their digital presence by combining creative storytelling with measurable insights.
- Advised on AI integration in marketing workflows to boost productivity and creative efficiency.
Alyosh Agarwal
Last position:
Business Intelligence Consultant at Large Private Equity Group
- Business intelligence and KPI specification and playbook for 35 European companies.
Jan Wahler
Last position:
Technical Consultant at AI Beratung (KMU)
- Evaluation of RAG for legal advisory (build or buy)
- Evaluation and POC of RAG for an ERP time tracking module
- Consulting on foundation model selection
- Setup AI development environment (eliminating shadow AI)
- AI strategy consulting
- AI-assisted code creation and context engineering make change sets larger
- Strong software engineering expertise, code reviews and safeguarding through pipelines and domain-specific automated test cases
Discover over 15,000 top freelancers
Statistics of experts using Dashboarding
Aggregated from the professional profiles of matched freelancers.
Experience
19 years
Position duration
2.5 years
Positions per freelancer
9
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Information Technology, Professional Services, Energy
Certification focus areas
Business Intelligence, Information Technology, Project Management
Bachelor's degree or higher
100%
Master's degree or higher
83%
Doctorate
17%
Certifications per freelancer
7
Most common languages
German, English, Spanish
Speak two or more languages
100%
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Munich 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 Munich using Dashboarding
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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What dashboarding means
Dashboarding turns data into clear views people can use fast. It covers KPI dashboards, BI dashboards, reporting dashboards, and executive scorecards. The goal is simple: show the right metric, with the right context, for the right decision.
Common tools
- Power BI and Tableau for business reporting
- Looker, Qlik, and Metabase for shared analytics
- Grafana for ops, system, and infrastructure views
- Embedded dashboards for customer-facing products
Where it helps
Good dashboarding supports sales tracking, finance reviews, product usage, and supply chain control. It is also common in manufacturing, mobility, retail, and SaaS teams in Munich, where leaders need fast reads from many data sources without digging through raw tables.
When to bring in specialists
Companies bring in freelance specialists when a dashboard is hard to trust, too slow, or too cluttered. That often means a new BI stack, a redesign after a reporting change, or a project that needs strong data modeling and visual design at the same time.
What strong work looks like
Strong professionals start with the question, not the chart. They define metrics clearly, reduce noise, and make sure filters, drilldowns, and refresh logic behave as expected.
Skills that matter
- Data modeling and metric design
- SQL and source-system mapping
- UX for charts, layout, and hierarchy
- Governance for definitions, access, and refresh
A solid specialist can work with product, finance, and engineering teams without losing the business meaning behind the numbers. They also keep the dashboard maintainable when data volumes, teams, or use cases grow.
Frequently asked questions
Curious about Dashboarding? Here are the answers that come up again and again.
Dashboarding is used to turn live or scheduled data into views that help people act quickly. Teams use it for KPI tracking, operational monitoring, management reporting, and customer analytics. In many cases the same dashboard also replaces manual spreadsheet updates.
Dashboarding overlaps with BI reporting, but it is not the same thing. Reporting often means static or scheduled documents, while dashboards are usually interactive and built for quick decisions. Many projects use both, especially in Power BI, Tableau, or Looker.
A dashboarding freelancer may work in Power BI, Tableau, Looker, Qlik, Metabase, or Grafana. The right tool depends on whether the goal is business reporting, embedded analytics, or system monitoring. A good specialist also knows how the tool connects to your warehouse or source systems.
A strong dashboarding specialist usually brings SQL, data modeling, and metric design. Clear visual structure matters too, along with source-system mapping and access control. For larger setups, knowledge of dbt, semantic layers, and governance is a plus.
A dashboarding project with one simple report may need only a focused specialist. If the work involves multiple data sources, shared definitions, and many user groups, you want someone who has handled complex reporting before. The key is proven delivery on similar dashboards, not just tool knowledge.
Bring in dashboarding expertise when the team is stuck on layout, metric definitions, or data quality. Freelance support is also useful for a redesign, a tool migration, or a short-term reporting backlog. It helps when you need senior input without adding a permanent role.
Yes, dashboarding work is often done remotely because most tasks live in the data stack and the reporting tool. For Munich teams, a hybrid setup can help at the start if stakeholders want to align on metrics, access, and review cycles. After that, remote collaboration usually works well.
Look for dashboarding work that is easy to read, hard to misinterpret, and simple to maintain. Good answers from a specialist include how they chose metrics, why they structured the charts that way, and how they handled refresh logic or data quality. Ask to see real examples, not just screenshots.
The average hourly rate of freelancers in Munich, Germany who have used Dashboarding in their recent projects is 109 €, which corresponds to a daily rate of about 873 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used Dashboarding in their recent projects, 100% hold at least a Bachelor's degree, 83% hold at least a Master's degree, and 17% hold a doctorate.
On average, freelancers in Munich, Germany who have used Dashboarding in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 2.5 years.
The most common languages among freelancers in Munich, Germany who have used Dashboarding in their recent projects are German (100%), English (100%), and Spanish (14%).
The most common industries among freelancers in Munich, Germany who have used Dashboarding in their recent projects are Information Technology (86%), Professional Services (71%), and Energy (57%).
The most common business areas among freelancers in Munich, Germany who have used Dashboarding in their recent projects are Information Technology (100%), Business Intelligence (86%), and Product Development (71%).
Main locations of FRATCH Experts, who have recently used Dashboarding
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.
Countries:
Berlin Hamburg 
Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
