Tableau Expert
for clear, actionable dashboards, matched in minutes with vetted and available freelancersHire experts who turn complex data into interactive Tableau dashboards, governed reporting environments and decision-ready visual analytics. FRATCH uses AI to match you quickly and precisely with vetted, available freelancers who fit your project.
Meet FRATCH Experts who have recently used Tableau
Chris W.
Last position:
Senior Strategy Advisor, Transformation Lead – Program realignment with vision, governance, and priority management at Sparkassen-Finanzgruppe | S-Communication Services
In-house consulting provider and transformation driver within the group, in a multi-stakeholder environment and working with C-level leaders.
Realigned and stabilized a cross-functional transformation and scaling program across the group. Refined the vision, priorities, and portfolio of initiatives, and established robust governance, planning, and management structures. Structured roles, responsibilities, and strategic initiatives, incorporating AI and IT automation opportunities.
Designed program realignment and project portfolio management
Developed a strategy model and vision for IT projects
Structured the portfolio, roadmap, and priorities
Established governance and regular meetings
Developed an operating model for flagship projects
Assessed AI and automation opportunities
Clarified roles and responsibilities
Implemented change initiatives
Designed, facilitated, and evaluated workshops
Brought 17 initiatives into a management framework
Improved transparency and decision-making
Strengthened accountability in program management
Sharpened the operating model
Integrated three top-5 institutions
Engaged over 80% of stakeholders
Governance
Portfolio management (PPM)
Change Management
Artificial intelligence
Workflow automation
AI use case assessment
Confluence
Jira
Stakeholder management
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
Tobias S W.
Last position:
CEO & Fouder at Wittbix
Dany-Armand D.
Last position:
Senior Data Scientist at ibg NDT GmbH
- Investigate the relationship between Eddy Current Testing (ECT) signals and microstructural properties
- Detect latent patterns in ECT data that reflect intrinsic material characteristics
- Develop and validate predictive models for microstructural classification and quantification, using hardness and case depth as benchmarks
- Apply Bayesian Structural Equation Modeling for advanced data analysis
Michael S.
Last position:
Data Analyst, Data Scientist at CompuGroup Medical Deutschland AG, docmetric GmbH
Development of AI and traditional models to analyze medical and patient data, including medication analyses, diagnosis analyses, forecasts, procedure analyses, dosage analyses, comorbidity analyses, prescription analyses, patient potential analyses, referral profile analyses, and prescription analyses. Analyses in the field of Real World Evidence.
Healthcare IT, pharmaceutical industry
Tasks, responsibilities:
- Gathering customer requirements
- Planning the subproject
- Designing and defining KPIs
- Designing and developing models and visualizations of results using customer dashboards
- Developing and implementing data warehouse adaptations
- Deriving recommendations for action
Methods, technologies:
- Simulation
- Artificial intelligence
- Python
- R
- SQL
- Microsoft Power BI
- Amazon Web Services
- Elasticsearch
- PostgreSQL
- Databricks
- Multivariate statistics
Alexander F.
Last position:
Freelance Business Consultant and Interim Manager at A. Folch von Sydow INTERIM MANAGEMENT
Advising various companies in the areas of controlling, finance and planning, transformation, business partnering, management reporting and AI-driven forecasting systems
Taner P.
Last position:
IT Consultant – IT Governance and Compliance at Premium automotive manufacturer
Result: Managed over 20 compliance campaigns in the development division, reaching 95% of the application portfolio and fulfilling over 4,000 compliance requirements.
- Campaign management: Planned, coordinated and monitored campaigns to improve compliance maturity; KPI-based management reporting
- Gap analysis: Assessed business-critical applications and prioritized compliance risks across Information Classification, Conformity Statement, Privacy Impact Assessment and other artifacts
- Stakeholder management: Served as the link between IT Security, Application Owners and business units; facilitated workshops and provided tailored implementation support
- Target vision and AI use cases: Developed a target model for maintaining compliance throughout the application lifecycle and assessed which artifacts could be populated automatically by AI agents using app and code data
Samet P.
Last position:
AI Consultant & Project Manager for Reporting Automation at Toyota Financial Services (EAR)
- Documented complex financial reporting processes in deep-dive sessions with subject matter experts
- Analyzed and mapped the 3-tier data flow SAP – Essbase – HQ (984 account entries, triple chart of accounts)
- Identified the biggest time drains (40 % of close time)
- Evaluated technologies (AWS, Microsoft Fabric, Custom/Hybrid) with cost-benefit analysis
- Created a validation rule catalog with 351 rules as the basis for pre-submission automation
- Business case: estimated savings potential of 480–960 T€/year for the EAR region
- Hands-on implementation with Microsoft Fabric, RAG, AI agents/Tool Calling and n8n; productive use of Microsoft Copilot and Copilot Studio
- AI-supported project management workflows (minutes, tasks, knowledge synchronization)
- Stakeholder management at senior management level (EAR Accounting, IEA IT, TFSC Japan), workshops and training on AI tools
Technologies: Microsoft Fabric, Copilot Studio, Claude AI, Python, Power BI, SAP, Essbase/SmartView, Excel (VBA), Notion, SharePoint
Yulia V.
Last position:
Independent Advisor - Strategy, Transformation & AI at JV Advisory
Independent advisory practice for strategy, organisational transformation, M&A / investor work and AI/data-enabled change.
- Short-term diagnostic and problem-solving mandates: rapid strategic and organisational assessments for leadership teams and Boards, translated into recommendations and transformation roadmaps.
- Organisational redesign and AI governance for an international group of approximately 1,500 employees: structure, mandates, decision rights and interfaces; AI-readiness and data-maturity assessment; vendor evaluation and selection; capability building.
- Design of a centralised Strategy Execution / Results Delivery Office for an industrial client: mandate, governance, portfolio steering, KPI logic, decision forums and implementation roadmap.
- Selected part-time mandate with SPARS GmbH (as a Business Development and Investments Director): developed M&A pipelines, assessed targets for strategic fit and synergy potential, led commercial due-diligence workstreams and investor / partner engagement.
Sabine P.
Last position:
AI Consultant at 2coach
The consultancy is developing AI agents for managers for a client. The underlying logic is built in GPTs, while the client works with Microsoft.
In progress:
- Designing and implementing agents for people management and leadership development in Copilot Studio
- Transferring the GPT logic to the end client's Microsoft environment
Henok M.
Last position:
Electrician Specialist for Predefined Work (Dt: EFfT) at WBS Trainings
- Fundamentals of electronics measurement, electropneumatic circuits & protective measures according to DIN-VDE
- Installation, wiring and commissioning of PLC-controlled Systems
Umut G.
Last position:
Data Architect at BA Technology
I am an experienced data engineer specializing in end‑to‑end data integration, cloud DWH architectures, and high‑quality, governed data products.
I delivered following projects and engagements as a freelancer.
- Data Migration of CRM System for AL-FA Objekt Service Gmbh
- Microsoft Software Resales Partnership
I am looking for freelance roles like: Freelance Data Engineer Cloud Data Warehouse Architect Data Modeling & Architecture Consultant MDM & Data Governance Specialist BI & Analytics Developer
Technical Focus Areas
- Data Engineering & Integration: SQL Server/SSIS, Informatica PowerCenter/IDQ, Talend, Kafka, Azure Data Factory – Delta/CDC/ELT patterns, robust pipelines, monitoring/recovery, data lineage & impact analysis, medallion architecture Bronze/Silver/Gold layers
- DWH & Cloud: Azure SQL / Data Lake / Synapse, AWS Redshift/S3, on‑prem SQL/Oracle – scalable data marts with a strong cost/benefit focus.
- Data Modeling: Atomic (Inmon) and Dimensional (Kimball), Data Vault (Linstedt), Domain‑Driven Design, clear lineage & contracts.
- MDM & Governance: Informatica MDM, IBM MDM, stewardship processes, data quality rules, survivorship/XREF, catalog/glossary, SIF/BES/REST publication.
- Analytics/BI: Power BI, SSAS, Cognos – business‑ready, maintainable data products.
Mansharan K.
Last position:
MS Fabric | Power BI Consultant at Gropyus Technologies GmbH
- Architected an enterprise Fabric-based data-product governance framework, authoring data contracts and schema-validation KPIs to enforce completeness, freshness and SLA standards across reporting data products.
- Operationalized pipeline observability by integrating Dagster orchestration data into automated data-health reporting, proactively validating data integrity and pipeline reliability before production reporting layers refresh.
- Established BI-as-Code and end-to-end governance through Git-based version control, CI/CD and Alpha→GA release management, strengthening lineage, schema-drift detection and production change traceability.
Hachem S.
Last position:
Machine Learning & BI Lecturer at EU Business School
- Taught ML, BI, and Big Data to Master's students.
Tech: Python, Power BI, SQL, ML, SnowflakeDB, databricks, MS Fabric, MongoDB, LLM
Onur K.
Last position:
Project Manager & Outsourcing Manager at SENEC GmbH (EnBW Group)
- Built a scalable nearshore IT developer hub (Croatia, Czech Republic, Poland) as an independent company through a BOT model (Build – Operate – Transfer)
- Identified, selected, and managed full-service agencies; introduced management and control mechanisms, including KPIs, SLAs, and regular service reviews
- Prepared and reviewed data processing agreements and framework contracts in coordination with Legal & Compliance; integrated regulatory requirements (including KRITIS) into process design
- Advised on cloud vs. on-premise strategies, data storage, and authorization concepts; supported Procurement with tendering and service provider evaluations
- Managed change and process harmonization between internal teams and nearshore partners; reported to executive management, CFO, and CIO
Result: Scalable IT developer hub with an audit-ready governance model, reduced operating costs, and accelerated product development.
Discover over 15,000 top freelancers
Statistics of experts using Tableau
Aggregated from the professional profiles of matched freelancers.
Experience
15 years
Position duration
2.1 years
Positions per freelancer
9
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Information Technology, Professional Services, Banking and Finance
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
96%
Master's degree or higher
72%
Doctorate
10%
Certifications per freelancer
3
Most common languages
English, German, Spanish
Speak two or more languages
98%
Based on our profile pool as of 5 Nov 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology 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 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 5 Nov 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 (74%)
- Professional Services (47%)
- Banking and Finance (40%)
- Retail (38%)
- Automotive (35%)
- Manufacturing (33%)
- Education (31%)
- Healthcare (28%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Visual Analytics
Tableau is a business intelligence and visual analytics platform for exploring data through interactive charts, dashboards and reports. Companies use Tableau Desktop, Tableau Cloud and Tableau Server to help teams identify trends, monitor performance and make evidence-based decisions without relying on static spreadsheets.
Core Deliverables
Tableau specialists create reporting products that connect business questions with trusted data:
- Interactive dashboards for sales, finance, operations and marketing
- Executive scorecards with filters, drill-downs and alerts
- Reusable worksheets, workbooks and visual analytics templates
- Published data sources with permissions, refresh schedules and documentation
Data Ecosystem
Effective Tableau work starts before the chart is built. Professionals connect sources such as Snowflake, BigQuery, SQL Server, PostgreSQL, Salesforce and spreadsheets, then shape data with SQL, Tableau Prep or extract workflows. They also work with calculated fields, parameters, level-of-detail expressions, relationships and joins.
When Expertise Helps
Companies often bring in freelance Tableau expertise when reporting is slow, inconsistent or difficult to maintain. A specialist can replace manual spreadsheet processes, establish a shared visual language or prepare a dashboard rollout across departments. They can also review an existing environment and resolve issues with data quality, workbook performance or access control.
Common signals include:
- Different teams reporting conflicting figures
- Dashboards that load slowly or lack clear ownership
- A migration from Tableau Server to Tableau Cloud
- A need to turn a data warehouse into usable business reporting
Strong Specialists
Strong professionals combine visual communication with data modeling and platform knowledge. They clarify the decision a dashboard must support, select suitable chart types and keep interactions purposeful. They understand Tableau’s performance recording tools, extract design, row-level security, user permissions and content governance rather than treating visual polish as the main goal.
They also test filters, calculations and refresh behavior with real users. Clear documentation helps internal teams maintain workbooks after delivery.
Project Fit
The right level of expertise depends on the work. A focused dashboard may need strong Tableau and SQL skills, while an enterprise rollout calls for experience with governance, deployment, identity management, data architecture and stakeholder enablement. Ask candidates to explain the business outcome, data model and maintenance approach behind comparable work.
Review the reasoning behind their dashboards, not only screenshots. A quality professional can discuss accessibility, performance, permissions, adoption and how the design will evolve as data sources and reporting needs change.
Frequently asked questions
Before you brief your next project: the most common questions about Tableau.
Tableau is used to explore data and present it through interactive dashboards, charts and reports. Companies apply it to financial analysis, sales reporting, operational monitoring, customer insights and executive decision support.
Tableau is often chosen for flexible visual exploration and sophisticated dashboard design. Power BI can be a natural fit for organizations centered on Microsoft tools, while Looker emphasizes a governed semantic layer and analytics within a broader data platform. The right choice depends on data architecture, users, governance and existing licenses.
A strong Tableau specialist usually brings SQL, data modeling and experience with databases or cloud warehouses. Useful adjacent skills include Tableau Prep, Python or R for analysis, Salesforce reporting, identity management, data governance and clear stakeholder communication.
A small reporting assignment may suit a professional who can connect data, build calculations and deliver a focused workbook. Larger Tableau programs require proven ability with performance, security, publishing workflows, governance and adoption across teams. Scope, data complexity and the number of stakeholders matter more than a fixed experience label.
Yes. Tableau projects work well remotely when data access, review cycles and ownership are defined in advance. Shared documentation, recorded walkthroughs and regular sessions with business users help replace informal on-site feedback.
Tableau Cloud is a hosted option that reduces infrastructure responsibility and can simplify upgrades and administration. Tableau Server may suit organizations that need more control over hosting, network access or internal deployment requirements. The decision should consider security, connectivity, governance and existing operational capabilities.
Ask how the professional defines the business question, validates calculations and manages data quality. Review a live or documented example of Tableau work for clarity, performance, accessibility, permissions and maintainability rather than judging visual style alone.
Tableau dashboards can slow down when workbooks contain too many worksheets, complex calculations, inefficient joins or overly detailed extracts. Poor source design, excessive filters and broad queries can also affect response times. A specialist should use performance recording and data-model improvements to identify the actual cause.
The average hourly rate of freelancers who have used Tableau in their recent projects is 95 €, which corresponds to a daily rate of about 757 € based on an 8-hour working day.
Of the freelancers who have used Tableau in their recent projects, 96% hold at least a Bachelor's degree, 72% hold at least a Master's degree, and 10% hold a doctorate.
On average, freelancers who have used Tableau in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers who have used Tableau in their recent projects are English (99%), German (98%), and Spanish (21%).
The most common industries among freelancers who have used Tableau in their recent projects are Information Technology (74%), Professional Services (47%), and Banking and Finance (40%).
The most common business areas among freelancers who have used Tableau in their recent projects are Information Technology (80%), Business Intelligence (78%), and Product Development (63%).
Main locations of FRATCH Experts, who have recently used Tableau
Our freelancers and interim experts are at home all over Germany — available on-site in Berlin, Hamburg, Munich and every major business hub, or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.
Berlin 
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Frankfurt 
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Dusseldorf 
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Zurich Countries:
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FRATCH CEO
