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Data Modeling Experts in Vienna

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Hire experts who shape clear data models, define entities and relationships, and design database schemas for analytics, reporting, and operational systems. Get vetted, available specialists matched fast and precisely for your Vienna team.

Meet FRATCH Experts in Vienna, who have recently used Data Modeling

Verified expert

Stefan Maxones

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Senior SAP Architect | Enterprise Analytics & Data Architecture

Bisamberg
Stefan Maxones

Last position:

SAP Architect at Manufacturing Industry

SAP Business Data Cloud / Datasphere rollout

Technologies: SAP Datasphere | SAP BTP | SAP Analytics Cloud | ETL / ELT | Security & Governance

Tasks / Responsibilities:

  • Designing and implementing data architectures in SAP Business Data Cloud / Datasphere
  • Designing spaces, data products, and data flows for integrated data models
  • Connecting SAP and non-SAP systems via SDI, ODP, APIs
  • Integration with SAP Analytics Cloud for self-service analytics
  • Building governance, security, and authorization concepts
  • Creating architecture guidelines & performance optimization

Results / Achievements:

  • Introduced a central data catalog & authorization concept
  • Laid the foundation for self-service analytics
Verified expert

Michael Okang

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Data Analyst | SQL · Power BI · DAX · Data Modeling

Vienna
Michael Okang

Last position:

Gas station attendant at Shell

  • Accurate handling of customer transactions under time pressure, including cash and register processing with high care
  • Reliable, consistent performance in a fast-paced, customer-focused environment; strengthened organization and multitasking skills
Verified expert

Michael Langer

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IAM Developer & IT Architect

Vienna
Michael Langer

Last position:

IAM Developer & IT Architect at Internationale Bank

  • Design and implementation of new functionalities in the areas of Lifecycle Management (LCM), Role Management (RLM) and Access Governance

  • Adjustment of the company-wide Segregation of Duties (SoD) matrix to ensure regulatory and internal compliance requirements

  • Further development and configuration of recertification processes

  • Creation and adaptation of custom workflows, rules and tasks in SailPoint IdentityIQ (BeanShell, XML, Java)

  • Use of static code analysis with SonarQube to ensure code quality and compliance with defined development standards

  • Regular code reviews within the development team to ensure quality, share knowledge and follow clean code principles

  • Work in an agile Scrum team with daily communication, sprint planning and reviews

  • Coordination with testers, test managers and business departments to ensure quality and smooth production rollout

  • Active involvement in release planning and deployment coordination, including test preparation, cutover activities and rollback strategies

  • Analysis and sustainable resolution of issues in the IAM production environment (2nd- and 3rd-level support)

  • Reproduction of complex errors, identification of root causes and implementation of lasting fixes

  • Creation of technical analyses and recommendations for operations and further development

Verified expert

Nikola Neloski

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Founder and CEO - Senior Business Analyst

Wien
Nikola Neloski

Last position:

Founder and CEO - Senior Business Analyst at fintechno AI GmbH

  • Business analysis
  • Requirements engineering
  • System design
  • Various insurance projects
  • Technology stack: msg.Billing (in-/ex-collection)
  • Product: Pay-per-use car insurance based on blockchain and OBD-II real-time telemetry with AI
Verified expert

Shahram Fallahdoust

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Senior Product Owner / Senior Business Analyst

Wien
Shahram Fallahdoust

Last position:

Senior Product Owner at Elderly Neighbour Watch

Delivered a digital, non-profit neighborhood platform to connect older adults with volunteers for practical support and social companionship. Responsible for business analysis, requirement definition, platform evaluation and delivery of a locally scalable service solution focusing on AI-driven enhancements, data-based optimization and clear market positioning. Evaluated several low-code/business platforms including Odoo and Glide Apps and assessed monday.com as a CRM-like option before selecting Glide Apps for implementation. Implemented a non-native mobile and desktop application with Glide Apps and the web presence with WordPress. Tasks

  • Gathering, analyzing and structuring business requirements for the product and service model
  • Conducting market, target group and competitor analyses to position the offering
  • Evaluating and selecting suitable low-code/business platforms for implementation
  • Defining core user journeys, business processes and operational workflows for older adults, volunteers and administration
  • Translating business requirements into functional requirements for profiles, task management, coordination, communication and notifications
  • Guiding the implementation of the non-native mobile and desktop application in Glide Apps as well as the web presence in WordPress
  • Preparing the business side for future AI-powered features such as intelligent matching and data-based optimization
  • Ensuring compliance with GDPR requirements Results
  • Successfully delivered digital support platform connecting older adults with volunteers
  • Solid foundation for market positioning through market, target group and competitor analyses
  • Delivered a functional non-native mobile and desktop application with Glide Apps and a supporting web presence with WordPress
  • Established foundation for scaling and AI-based further development
Verified expert

Michael Gonschor

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Scrummaster

Wien
Michael Gonschor

Last position:

Scrummaster at Xenovo

  • Planning and monitoring sprints and holding the scheduled meetings

  • Analyzing and resolving issues in the development process

  • Error analysis, bug management and correction in individual process steps

  • Stakeholder management

  • Documentation and improvement of the development process

  • Tools: JIRA, Confluence

Verified expert

Lorenz Graiff

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Business Analyst

Vienna
Lorenz Graiff

Last position:

Business Analyst at Wirtschaftsagentur Wien

  • Conducting a feasibility study on introducing an in-house DWH as a central data source
  • Conducting workshops for current state analysis (processes, reports, KPIs) together with the clients
  • Gathering and detailing business requirements including a target concept for an in-house DWH
  • Coordinating and clarifying data deliveries and interfaces in meetings with stakeholders and data providers
  • Developing initial data models as a basis for data quality and later implementation
  • Drafting solution variants including architecture and operation options and decision basis
  • Creating the business case including effort estimates, cost-benefit analysis, and decision report
Verified expert

Christian Neuwirth

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Digital Consultant

Wien
Christian Neuwirth

Last position:

Digital Consultant at Global Stations

  • Conducted due diligence for the acquisition of digital marketing agencies in Manila, evaluating revenue potential, scalability, and operational efficiency.
  • Advised international companies on go-to-market strategies across Asia, with a strong focus on China and Southeast Asia’s online commerce ecosystems.
  • Developed tailored digitalization and automation processes within CRM and marketing operations to drive efficiency and data transparency.
  • Achieved successful market positioning and digital process optimization in collaboration with various SaaS and automation agencies, enabling scalable regional growth.
Verified expert

Gerald Gastgeb

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Data Warehouse Architect and Lead Data Modeler

Wien
Gerald Gastgeb

Last position:

Data Design Authority at Department of Government Enablement

  • Responsible for realigning the data architecture of the Abu Dhabi government to achieve a fully AI-driven public administration
  • Definition of modeling standards
  • Creation of a conceptual and logical model for the entire Abu Dhabi government administration
  • Definition of data quality and data security standards
Verified expert

Johanna Urbanz

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Manager

Wien
Johanna Urbanz

Last position:

Manager at Deloitte Consulting GmbH

  • Technology consulting and project management focused on SAP ICMR and SAP Group Reporting
Verified expert

Octavian Golea

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DWH Technical Analyst

Vienna
Octavian Golea

Last position:

Oracle DWH Analyst at Infomotion Gmbh

Oracle PL/SQL, Oracle SQL, ITIL

Verified expert

Michael Polivanov

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Delivery Lead | IT-Implementation & Strategic Requirements Engineering

Vienna
Michael Polivanov

Last position:

Strategy Consultant & Program Architect at Hypo Tirol Bank AG

  • Portfolio Analysis & Migration Roadmap: Conducted structured analysis and risk classification of the HCL Notes infrastructure, created a prioritized migration portfolio with effort estimates as a key decision basis for management.
  • Target Architecture & Modernization Concept: Developed the architecture strategy for retiring legacy applications, defined requirements for a centralized business process engine to reduce OPEX and licensing costs in the long term.
  • Program Governance & Setup: Established roadmap and backlog structures as well as central project documentation (MS SharePoint), set up stakeholder management for the Notes decommissioning program.
Verified expert

Stéphane Loyet

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Expert BI Consultant

Vienna
Stéphane Loyet

Last position:

Expert BI Consultant at Freelance

  • Project management
  • Design, optimization, query, reporting, and data modeling
  • Liaising with clients / training
  • Design, optimization, and development of query, reporting, and data architecture
  • SAP SAC
  • Story
  • Data Action
  • Planning
  • SAP Datasphere
  • SAP BTP
  • MS Power BI
  • DAX
  • Power Query
  • IBM Cognos Reporting
  • Framework Manager
Verified expert

Qamile Bufaj

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SAP BI / SAP Analytics Cloud

Vienna
Qamile Bufaj

Last position:

SAP BI / SAP Analytics Cloud at ARDDEX Group

  • Gathering requirements and conceptually designing reporting and planning requirements in controlling (CO) and modeling SAP Analytics Cloud data models for group reporting.
  • Designing and implementing reports and dashboards to support planning, forecasting and control processes.

Discover over 15,000 top freelancers

Statistics of experts using Data Modeling

Aggregated from the professional profiles of matched freelancers.

Experience

21 years

Position duration

2 years

Positions per freelancer

14

Top business areas

Information Technology, Business Intelligence, Project Management

Top industries

Information Technology, Banking and Finance, Professional Services

Certification focus areas

Information Technology, Product Development, Business Intelligence

Bachelor's degree or higher

92%

Master's degree or higher

77%

Doctorate

8%

Certifications per freelancer

5

Most common languages

German, English, Spanish

Speak two or more languages

94%

Based on our profile pool as of 30 Aug 2026.

Daily rate distribution

0 2 4 6 8
<€480 €480-​640 €640-​800 €800-​960 €960+

The chart shows how the daily rates of freelancers in this technology in Vienna 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 Vienna using Data Modeling

Rates are based on recent contracts and do not include FRATCH margin.

1000
750
500
250
Rate comparison chart
Daily rate avg. 866 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

1000
750
500
250
Rate comparison chart
Median rate 852 €

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

Data modeling turns business rules into a structure that systems can store and use. It defines entities, attributes, keys, and relationships so data stays consistent across applications, warehouses, and reporting layers. Strong models make change easier and reduce confusion later.

Common work

  • Conceptual, logical, and physical data models
  • Normalized database schemas and denormalized reporting structures
  • Data dictionaries, naming rules, and business glossaries
  • Models for CRM, ERP, finance, product, and analytics systems

Tools and formats

Professionals working with Data Modeling often use ER diagrams, UML-style diagrams, SQL, and catalog tools to document structure and rules. They work with relational databases, cloud warehouses, and sometimes NoSQL systems when the access pattern needs it. The method matters more than the tool, but the tool must fit the target platform.

When companies bring in help

Companies usually need freelance support when a data landscape is changing, duplicated tables are causing errors, or reporting no longer matches the business view. In Vienna, this often comes up in enterprise IT, finance, logistics, and public-sector projects where many teams share the same data. Clear modeling helps separate local system details from stable business meaning.

What strong specialists do

A good specialist asks about the business process before drawing tables. They can balance normalization, performance, governance, and future change without overcomplicating the design.

  • Translate requirements into stable entities and relationships
  • Spot missing keys, weak definitions, and duplicate concepts
  • Align schema design with analytics and integration needs
  • Document decisions so teams can maintain the model later

Signs of quality

Strong work is easy to read, easy to extend, and easy to explain to both technical and non-technical teams. The best experts make trade-offs visible, such as when a warehouse model should differ from an operational one. They also understand that data modeling is part design discipline and part communication, not just drawing boxes and lines.

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Frequently asked questions

Before you brief your next project: the most common questions about Data Modeling.

Data Modeling is used to define how data is organized, named, linked, and governed across systems. It supports transactional databases, analytics layers, integration flows, and reporting structures. Good models keep business rules visible and reduce downstream rework.

Data Modeling is broader than database design. Database design turns the model into a physical structure for a specific engine, while the model itself captures business meaning, rules, and relationships. A strong specialist can do both, but should keep the two steps separate.

Data Modeling and data modelling mean the same thing. The spelling often depends on region or company style, but searchers usually want the same skill: structuring data for systems, reporting, and governance. You may also see it described as data model design.

A strong Data Modeling professional usually knows SQL, relational database concepts, and data warehouse design. Business analysis skills matter too, because the model has to reflect real processes, not just technical preferences. Experience with documentation and stakeholder workshops is a plus.

Data Modeling help is useful when teams merge systems, rebuild reporting, or struggle with inconsistent definitions. It is also valuable before a new platform goes live, because early structure decisions are hard to fix later. Freelance support works well when you need focused expertise without a long hiring cycle.

Yes, Data Modeling is often done remotely because the work depends on workshops, documents, and shared diagrams. For Vienna teams, a mix of remote sessions and a few on-site meetings can help when many departments need to agree on business terms. The key is clear communication, not physical presence.

A strong Data Modeling freelancer explains why a structure fits the business, not just how it looks on paper. Look for clear questions about source systems, ownership, definitions, and future change. Good work should be understandable to analysts, engineers, and business stakeholders alike.

Data Modeling deliverables often include entity-relationship diagrams, logical and physical models, naming standards, and a data dictionary. In larger projects, you may also get mapping rules, governance notes, and guidance for warehouse or integration design. The exact output should match the system you are building.

The average hourly rate of freelancers in Vienna, Austria who have used Data Modeling in their recent projects is 108 €, which corresponds to a daily rate of about 866 € based on an 8-hour working day.

Of the freelancers in Vienna, Austria who have used Data Modeling in their recent projects, 92% hold at least a Bachelor's degree, 77% hold at least a Master's degree, and 8% hold a doctorate.

On average, freelancers in Vienna, Austria who have used Data Modeling in their recent projects have 21 years of professional experience, with a single engagement typically lasting around 2 years.

The most common languages among freelancers in Vienna, Austria who have used Data Modeling in their recent projects are German (100%), English (94%), and Spanish (29%).

The most common industries among freelancers in Vienna, Austria who have used Data Modeling in their recent projects are Information Technology (94%), Banking and Finance (71%), and Professional Services (59%).

The most common business areas among freelancers in Vienna, Austria who have used Data Modeling in their recent projects are Information Technology (100%), Business Intelligence (82%), and Project Management (76%).

Main locations of FRATCH Experts, who have recently used Data Modeling

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:

Vienna Graz

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FRATCH CEO

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