Dashboarding Experts in Germany
in minutes with vetted freelancers and AI precisionHire experts who design KPI dashboards, build reporting layers, and connect data from Power BI, Tableau, Looker, or Grafana to give teams clear, reliable views of performance with fast, precise matching and vetted, available freelancers.
Meet FRATCH Experts in Germany, who have recently used Dashboarding
Ankit Handa
Last position:
AI Evaluation Analyst at Turing
Driving AI model quality at scale — evaluating prompt-response accuracy, flagging edge cases, and maintaining SLA-compliant workflows across distributed global teams.
- Analyse AI prompts and side-by-side model outputs to assess response quality, factual accuracy, relevance, consistency, and compliance with project evaluation guidelines.
- Perform fact-checking, data validation, troubleshooting, issue identification, and edge-case review to improve quality standards across AI training support workflows.
- Use Google Sheets, Google Docs, and browser-based tools to document findings, maintain evaluation logs, track issue patterns, and support workflow optimisation in a remote environment.
- Create clear written justifications, review summaries, and KPI-oriented reporting focused on accuracy, turnaround time, documentation completeness, defect identification rate, and SLA adherence.
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
Jan Miltner
Last position:
Managing Director at Nexcent GmbH
- IT consulting
- Power Platform & Databricks
- AI software development (custom software)
- Commercial responsibility for the company
Ebru Ataman
Last position:
Product Operations Manager, Media Operations & Growth, Global Marketing at Zalando SE
- End-to-end responsibility for the successful implementation and continuous optimization of Mediatool for strategic media planning (offline & online).
- Development and management of efficient onboarding, configuration, and support processes for international stakeholder teams.
- Leadership of API integrations to connect external systems (e.g., for result tracking and performance measurement).
- Advising departments on tool usage and development, including workshop design, training, and knowledge transfer.
- Establishment and maintenance of comprehensive PMO tracking for all tasks, milestones, and deliverables.
- Prioritization and documentation of requirements, change requests, and bugs in Jira, with transparent communication via Confluence.
- Systematic evaluation of user feedback to derive data-driven optimization measures.
- Responsibility for the monthly Mediatool communication newsletter, including content creation for users and leadership.
Beshr Alnirabieh
Last position:
System Administrator – HealthCare IT & Data Infrastructure at Cellitinnen Hospital Association
- Integration of medical modalities (including ultrasound) into the existing IT infrastructure (DICOM, HL7) – put into operation within the planned timeframe.
- Administration and optimization of PACS systems for efficient archiving and distribution of radiology image data across multiple locations.
- Ensuring consistent data quality and seamless interoperability in data exchange between HIS, RIS, and PACS.
- Close collaboration with medical staff to analyze and digitally optimize clinical workflows.
- Requirements management and test coordination when implementing clinical requirements in complex IT structures.
Marco Lindner
Last position:
Senior IT Consultant | Cloud Data Engineer | Infrastructure Architect at Hannover Rück SE
Built an enterprise data lakehouse platform on Azure Databricks
Developed production data pipelines and governance structures
Implemented private cloud infrastructures using Terraform
Introduced modern CI/CD standards in Azure DevOps
Implemented secure IAM and governance concepts
Developed scalable PySpark and Delta Lake frameworks
Supported self-service analytics and data product approaches
Provided architecture and platform consulting for enterprise data initiatives
Built a central DataHub architecture for insurance data
Integrated multiple subsystems into a lakehouse platform
Introduced data governance and data lineage
Supported modern analytics and reporting standards
Optimized data delivery for business and analytics teams
Mirza Avdibegovic
Last position:
Consultant Data Warehouse at InfoFabrik GmbH
- Data Management of Oracle based Data Warehouse
- Operational monitoring of DWH
- ETL Processes in Oracle SQL
- Consulting in reporting and DWH development
- Developing Dynamic List, Grid, Jxls, Pivot Reports in Report Server
- Data visualization in Report Server
Judith Beyrle
Last position:
BI & Analytics Consulting
- Analysis of web and campaign performance to derive actionable insights for marketing and growth optimization
- Implementation and maintenance of tag management solutions to ensure reliable and consistent data collection
- Continuous development and optimization of reporting structures with a focus on scalability and data quality
- Conducting regular deep-dive analyses and leading monthly stakeholder sessions to present findings and align on optimization measures
- Designing and managing end-to-end data flows from data collection to visualization
- Tools: GA4, Google Tag Manager, Looker Studio, Airbyte, BigQuery
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.
Emmanouil Tzouridis
Last position:
Senior Analytics Engineer at Trade Republic Bank GmbH
- Implementation of analytics and automation solutions for the Anti Financial Crime business unit
- Providing the infrastructure, including reusable data models and feature ingestion for production ML and rule based models in the areas of Account Take-Over and Card fraud detection, as well as Customer Risk Assessment
- Tools used: Snowflake, dbt, Looker, AWS, Python, Airflow, Metaflow
Felix Reimann
Last position:
SAP Analytics & Planning Expert at RWS GmbH
- Greenfield implementation of S/4HANA Embedded Analytics as well as reporting and planning processes with SAP Analytics Cloud (SAC).
- Integrated production, sales, and inventory planning, as well as financial planning and management reporting.
- Inventory forecasts implemented through SAC Machine Learning.
- Integration of S/4HANA data and HR data (Factorial) into SAP Datasphere (various tables with real-time replication, related data flows, and analytical models)
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.
Selen Kuru
Last position:
Product Growth Manager at FILA
- Defined a growth strategy that aligned platform initiatives with revenue and operational efficiency objectives.
- Used advertising performance and customer insights to drive ROI-focused growth decisions.
- Drove e-commerce growth initiatives across traffic and conversion levers to improve overall performance.
Discover over 15,000 top freelancers
Statistics of experts using Dashboarding
Aggregated from the professional profiles of matched freelancers.
Experience
15 years
Position duration
1.9 years
Positions per freelancer
9
Top business areas
Business Intelligence, Information Technology, Product Development
Top industries
Information Technology, Professional Services, Retail
Certification focus areas
Business Intelligence, Information Technology, Research and Development
Bachelor's degree or higher
100%
Master's degree or higher
70%
Doctorate
7%
Certifications per freelancer
4
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 Germany 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 Germany 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 it covers
Dashboarding turns raw data into clear views for decisions. It brings KPIs, trends, and alerts into one place so teams can monitor sales, operations, finance, product, or infrastructure without digging through reports. Strong work here is not just visual design; it is about the right metrics, the right refresh logic, and the right audience.
Common tools
- Power BI for business reporting and self-service analytics
- Tableau for interactive analysis and executive views
- Looker for governed metric layers and model-driven dashboards
- Grafana for infrastructure, service, and observability panels
- Custom dashboards built on SQL, APIs, and cloud data stacks
Typical work
Companies bring in freelancers for dashboard redesigns, new KPI definitions, or a full reporting setup. That often includes data modeling, query tuning, filter logic, access control, and mobile-friendly layouts. In Germany, this is common in manufacturing, logistics, retail, finance, and SaaS teams that need reliable reporting across departments.
When to hire
Bring in specialists when dashboards are slow, confusing, or trusted by only part of the business. They also help when teams move from spreadsheets to a BI tool, merge sources after a system change, or need a reporting layer that fits both management and day-to-day users. Remote work is common; on-site collaboration helps when stakeholders need fast alignment on metrics.
What good experts do
Strong professionals ask which decisions the dashboard should support before they touch the layout. They map data sources carefully, define metrics clearly, and keep refresh timing, permissions, and edge cases under control. They also know how to balance readability with depth so the dashboard stays useful after launch.
Signs of quality
Good dashboarding work is easy to read, hard to misread, and simple to maintain. Look for professionals who can explain their metric choices, show how they test data quality, and adapt the view for executives, analysts, and operators without creating three separate messes. The best results come from clear logic, not decorative charts.
Frequently asked questions
Need clarity? These are the questions we hear most often about Dashboarding.
Dashboarding turns scattered data into a clear view of performance, usually through KPI dashboards, reporting dashboards, or operational screens. It helps teams spot trends, compare periods, and act faster when something changes. The value is in decision support, not in the charts themselves.
Dashboarding is closely related to reporting and BI, but it is not the same thing. Reporting often focuses on structured outputs, while BI can include modeling, analysis, and data exploration. Dashboards sit on top of that work and present the key signals in a usable format.
A strong dashboarding professional usually knows at least one major BI tool such as Power BI, Tableau, or Looker. For operational monitoring, Grafana is often relevant too. SQL, data modeling, and a good sense for metric design matter just as much as the front-end tool.
A dashboarding project needs someone who can work with the data source, the audience, and the business question at the same time. Small internal views may need only focused support, while company-wide reporting benefits from deeper experience with governance and data quality. If the team has conflicting KPI definitions, bring in a specialist early.
Look for a dashboarding specialist who asks about users, decisions, and metric definitions before building anything. Good work is consistent, readable, and aligned with the source data, with clear handling of filters, refresh logic, and edge cases. A strong portfolio should show business outcomes, not just polished screenshots.
Yes, dashboarding is often delivered remotely, especially when the data stack is already accessible online. For teams in Germany, remote collaboration works well for build work, while short on-site sessions can help align on KPIs, stakeholders, and reporting rules. Many specialists combine both.
A dashboarding expert often brings SQL, data modeling, data visualization, and a basic understanding of ETL or ELT workflows. Depending on the stack, knowledge of permissions, cloud warehouses, and API-based data sources can also matter. For regulated sectors, data governance is a plus.
Choose a dashboarding specialist when the problem is the reporting layer itself: poor usability, slow refreshes, broken metrics, or inconsistent views across teams. A general analyst may help interpret data, but a specialist is better when the dashboard has to be trusted, maintained, and scaled. That difference matters in complex environments.
The average hourly rate of freelancers in Germany who have used Dashboarding in their recent projects is 94 €, which corresponds to a daily rate of about 754 € based on an 8-hour working day.
Of the freelancers in Germany who have used Dashboarding in their recent projects, 100% hold at least a Bachelor's degree, 70% hold at least a Master's degree, and 7% hold a doctorate.
On average, freelancers in Germany who have used Dashboarding in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Germany who have used Dashboarding in their recent projects are German (100%), English (100%), and Spanish (16%).
The most common industries among freelancers in Germany who have used Dashboarding in their recent projects are Information Technology (90%), Professional Services (53%), and Retail (40%).
The most common business areas among freelancers in Germany who have used Dashboarding in their recent projects are Business Intelligence (90%), Information Technology (90%), and Product Development (55%).
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.
Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg 
Munich Request a free demo
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Philipp Thomaschewski
FRATCH CEO
