
Tableau Experts in Austria
in minutes from over 15,000 CVs with the power of AI.Hire experts who turn raw data into clear Tableau dashboards, build Tableau Desktop and Tableau Server setups, and shape reporting that teams can use every day. Match with vetted, available freelancers fast and precisely.
Meet FRATCH Experts in Austria, who have recently used Tableau
Garrett T.
Last position:
Transformation Advisor for SAP at Garrett Tedeman, CPA LLC
Independent practice serving clients in SAC-P and AI-enabled FP&A transformation, including financial model development for PE firm engagements, data cleansing with PowerQuery, workflow automation Claude Cowork, SAC-P scoping task-based assignments (Micro1.ai & Mercor.ai), and SAP partner network development.
- 2026 – Completed significant upgrade training for Positioning Business AI and SAP Cloud ALM Workshop (In-Person). Live Demos • SAC-P & Excel-Based Reports • Claude Partner • SAP Partner#: 1961209 (OE – Build)
- Fall 2026 – New effort to re-train/update past FI/CO, SAP BPC, SAP Platform to S/4 Finance & Core G/L Accounting
- 2026 – Upskilling for Transformation Toolchain. In-Person Workshops: Cloud ALM & SAP BTP • Joule Demo(s)
- 2025 – FP&A processes • Datasphere & Business Data Cloud • Team Workshops for AI • Toolchain & SAP Cloud ALM
- 2024 – Built key credentials on Deloitte S4 Experience • Group Reporting and SAC-P
Alexander P.
Last position:
Owner & Lecturer at Own company for AI governance and data products, Vienna
- Consulting and interim management at the interface between IT operations and regulation
- Impact analysis and implementation planning for NISG 2026 and the EU AI Act, including risk management and reporting and evidence processes
- Training for governing bodies and employees on regulatory obligations
- Lectures in Data & Information Management and Human-Machine Interaction at University of Applied Sciences Burgenland, since 2023
- Supervision of master’s theses and participation in the examination board
- Presentations for business and educational institutions
- Design and development of data and AI products, platforms and pipelines
- Privacy-first architectures and zero-knowledge encryption, cloud-native on EU infrastructure
- MLOps and AIOps in live operations
- Own applications under own brand: shared codebase, separate delivery for each target device
- AI-assisted software development (vibe coding), complete agentic pipelines, code generation, implementation, automated testing, CI/CD and release cycles
- Publications on the EU AI Act, NIS2, DORA, CRA and CER as an integrated governance system
- Publications on data sovereignty, cloud economics and industrial image processing
- AI governance / compliance: data quality, Responsible AI, EU AI Act readiness, risk classification, AI ethics
Stefania D.
Last position:
Data Engineer at Storebox
Tech: AWS (Glue, Lambda, Redshift), Airflow, PostgreSQL, Python, PySpark, Metabase, Power BI
Delivered: Analytics-Ready Data Models • Legacy SQL to Cloud ETL Migration • Dynamic Pricing Engine
- Owned and evolved the company data warehouse end-to-end — from ingestion to transformation to analytics-ready dimensional data models on AWS Redshift.
- Collaborated with Analysts, Data Scientists, and business stakeholders to deliver scalable dimensional data models that enable self-serve analytics and streamline dashboarding in Metabase and Power BI.
- Architected end-to-end ETL/ELT pipelines on AWS (Glue, Lambda, Redshift) using Python and PySpark, orchestrated with Apache Airflow (MWAA) for reliability and observability.
- Defined and enforced data quality standards and governance practices across pipelines and the core data layer.
- Led migration of legacy SQL infrastructure into scalable AWS Glue pipelines with distributed PySpark processing, eliminating bottlenecks and reducing downtime.
- Developed a dynamic pricing engine applying automated promotional discounts based on occupancy rates, competitor pricing, and location performance tiers.
- Designed schema mappings to ingest MongoDB data into structured relational systems (Redshift/PostgreSQL).
Axel M.
Last position:
Interim HR Lead Transformation – International E-Commerce & Logistics Environment at Inpact HR (Interim Management)
- Organizational Design: Strategic realignment of the organizational structure to increase operational excellence and prepare for a scaled shared service model.
- Tech-Driven HR Transformation: Supporting process optimization through the integration of modern automation solutions and AI-powered tools to increase efficiency in workforce management.
- Strategic Change & Rightsizing: Design of a change-management framework to align personnel resources with a new, centralized steering model.
Fabio G.
Last position:
IT Architect, Requirements Analyst and Consultant at CANCOM
- Supports CANCOM customers in migrating legacy on-prem systems to Microsoft Fabric and Microsoft Foundry
- Takes over and stabilizes existing solutions after a short handover
- Business analysis and requirements engineering for migration to a new cloud environment
- Optimization of machine learning models for feature extraction and customer profiling
- Ensures data protection and compliance
- Leads the migration of on-prem systems to Microsoft Fabric
- Designs new AI platforms for clients
- Tests the integration of chatbots for document intelligence with Microsoft Foundry, including requirements analysis, implementation, validation, and client communication
Mario T.
Last position:
External Lecturer at FH Kufstein Tirol – University of Applied Sciences
- Study: Data Science & Intelligent Analytics
- Module: Big Data Processing
Nikolaus J.
Last position:
Integration Architect at CECIL
Designed an API-first omnichannel integration, linking WhatsApp Business API with Salesforce Marketing Cloud to unify customer data across multiple platforms.
Automated customer onboarding and engagement workflows using Marketing Cloud Journeys, SSJS, and Azure Functions.
Developed a middleware layer to sync WhatsApp interactions with Sales Cloud for seamless customer experience tracking.
Christof T.
Last position:
Marketing Consultant at allUpp
- Developed and executed marketing automation strategies to enhance customer engagement and lead nurturing.
- Managed CRM consulting projects, optimizing customer data workflows and campaign automation.
- Designed and implemented multi-channel marketing campaigns, improving conversion rates and customer retention.
- Provided strategic guidance to clients on digital marketing transformation and process automation.
Discover over 15,000 top freelancers
Statistics of experts using Tableau
Aggregated from the professional profiles of matched freelancers.
Experience
18 years

Position duration
2.8 years

Positions per freelancer
9

Top business areas
Information Technology, Business Intelligence, Marketing

Top industries
Information Technology, Education, Banking and Finance

Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
100%
Master's degree or higher
100%
Doctorate
14%

Certifications per freelancer
6

Most common languages
German, English, Spanish

Speak two or more languages
100%
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 Austria 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 Austria using Tableau
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.
Tableau 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 (63%)
- Banking and Finance (63%)
- Manufacturing (63%)
- Retail (63%)
- Food and Beverage (50%)
- Transportation (38%)
- Professional Services (38%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Tableau does
Tableau turns data into interactive dashboards and reports that people can read quickly. It is used for sales, finance, operations, and executive reporting when teams need clear views instead of spreadsheets. Strong specialists know how to connect sources, shape visuals, and keep the story focused.
Core ecosystem
Tableau work often includes:
- Tableau Desktop for building analyses and dashboards
- Tableau Server or Tableau Cloud for sharing and governance
- Tableau Prep for cleaning and combining data
- SQL, data warehouses, and business data models
Typical projects
Companies bring in Tableau experts for new dashboard builds, messy report fixes, and migration from older BI tools. They also help when KPIs change, data sources multiply, or self-service reporting needs structure. In Austria, this often matters for international teams that need consistent English and local business context.
What strong specialists do
A strong Tableau professional knows more than chart design. They understand filters, calculations, level-of-detail logic, performance tuning, and how to keep workbooks maintainable. They also ask the right questions about the audience, refresh cycle, and data definitions before they build.
When to hire help
Bring in freelance support when dashboards feel slow, users do not trust the numbers, or nobody owns the current reporting setup. Tableau projects also benefit from outside expertise during Server upgrades, data source changes, and governance work. Remote collaboration works well; on-site time helps when data teams, finance, and leadership need shared alignment.
Results that matter
Good Tableau work is easy to reuse and hard to misunderstand. It gives teams a clean layout, consistent calculations, and a reporting flow that matches how the business actually works. Whether you use Tableau Desktop, Tableau Server, or Tableau Cloud, the goal is the same: clear decisions from trusted data.
Frequently asked questions
Quick answers to the questions that come up most around Tableau.
Tableau is used to turn business data into dashboards, scorecards, and interactive reports. Companies use it for operational tracking, management reporting, and ad hoc analysis when they need fast answers from multiple data sources. It is especially useful when decision-makers want to explore the data themselves instead of waiting for static reports.
Tableau is often chosen for visual exploration and flexible dashboard design. Power BI is commonly compared on Microsoft stack fit, while Looker is often evaluated for semantic modeling and governed metrics. The right choice depends on your data setup, sharing needs, and who will maintain the reporting.
A strong Tableau specialist should be comfortable with SQL, data modeling, dashboard design, and performance tuning. Knowledge of Tableau Desktop, Tableau Server, Tableau Cloud, and Tableau Prep is valuable when the work includes publishing, refreshes, or data cleanup. Clear communication matters too, because dashboards only work when the business rules are understood.
A small reporting fix may only need a focused Tableau expert with strong dashboard and data skills. Larger rollouts, governance work, or messy source systems need someone who can also handle architecture, permissions, and standardization. The complexity of the data is usually a better guide than the number of dashboards.
Yes, most Tableau work can be done remotely if the data access and communication are set up well. For teams in Austria, remote collaboration works especially well for dashboard development, review cycles, and documentation. On-site sessions can still help when stakeholders need to align on KPIs, terminology, and business rules.
Look for a Tableau portfolio that shows clean layout, clear calculations, and dashboards built for real users. Good examples explain the problem, the data source, and the decision the dashboard supports. Be cautious if the work looks polished but does not show logic, refresh handling, or maintenance thinking.
Yes, Tableau is often used for self-service analytics when teams need to explore approved data on their own. That only works well if the underlying data model is tidy and the naming is consistent. A skilled specialist will balance freedom for users with enough governance to keep numbers reliable.
Tableau projects often sit next to SQL databases, cloud warehouses, Excel, and ETL tools. Teams may also use Tableau Prep for shaping data and Tableau Server or Tableau Cloud for publishing and access control. The best specialists understand how all of these parts affect refreshes, permissions, and dashboard speed.
The average hourly rate of freelancers in Austria who have used Tableau in their recent projects is 98 €, which corresponds to a daily rate of about 787 € based on an 8-hour working day.
Of the freelancers in Austria who have used Tableau in their recent projects, 100% hold at least a Bachelor's degree, 100% hold at least a Master's degree, and 14% hold a doctorate.
On average, freelancers in Austria who have used Tableau in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 2.8 years.
The most common languages among freelancers in Austria who have used Tableau in their recent projects are German (100%), English (100%), and Spanish (50%).
The most common industries among freelancers in Austria who have used Tableau in their recent projects are Information Technology (75%), Education (63%), and Banking and Finance (63%).
The most common business areas among freelancers in Austria who have used Tableau in their recent projects are Information Technology (100%), Business Intelligence (88%), and Marketing (75%).
Main locations of FRATCH Experts, who have recently used Tableau
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:
- Germany
- Austria
- Switzerland
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