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Data Modeling Experts in Switzerland

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Hire experts who design relational, dimensional and graph-based data models, improve warehouse structures and align schemas with business processes. FRATCH connects you with precise matches from vetted, available freelancers quickly.

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

Verified expert

Matthias S.

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Interim Manager IT & Software | Delivery, Operations & Service

Freienstein
Matthias S.

Last position:

Lecturer in Software Management at GraubĂĽnden University of Applied Sciences

  • Design and delivery of the university module “Software Management” in the Bachelor’s degree program in Artificial Intelligence in Software Engineering
  • Teaching software project management, project organization, stakeholder management, risk and quality management, and agile and hybrid project management
  • Coverage of release planning, cut-over, go-live, handover to operations, and the operational impact of technical decisions
  • Combining methodological foundations with experience from software development, customer projects, delivery, release management, testing, and IT operations
  • Use of AI in software and project management

Methods and tools: Software project management, HERMES, PRINCE2, Scrum, Kanban, hybrid approaches, requirements engineering, risk and quality management, release management, test management, Moodle

Verified expert

Paulo M.

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Power BI & Microsoft Fabric Specialist | AI & Copilot | SAP BI

ZĂĽrich
Paulo M.

Last position:

Power BI / Fabric & SAP BI Consultant at Financial Bank

  • Developed Power BI semantic models, DAX and RLS, improving reporting performance and security.
  • Designed Fabric Lakehouse with Medallion Architecture (Bronze/Silver/Gold), accelerating data processing and improving maintainability and scalability.
  • Built Fabric Data Factory pipelines and PySpark transformations, reducing processing time by 40%.
  • Delivered automated Power BI KPI dashboards, accelerating reporting and decision-making.
  • Supported SAP BO 4.3 → 2025 migration across 2,000+ Webl reports and 34 universes, reducing testing effort by 35% and improving migration quality and reliability.
  • Optimized UNX universes, reducing query execution time by 40%.
  • Optimized SAP BO reporting solutions, improving reliability and reducing manual effort.

Environment: Power BI, Microsoft Fabric (Lakehouse, Warehouse, Pipelines, PySpark), Tabular Editor, DAX Studio, SAP BI (BO 4.3/2025, Webl, UNX Universes), 360Suite, InfoBurst, GitHub, JIRA.

Verified expert

Hanspeter J.

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Lead Consultant Salesforce DACH

Zug
Hanspeter J.

Last position:

Lead Consultant Salesforce DACH at DXC Technology

  • Recording, validating and coordinating customer requirements
  • Analyzing commercial processes at customers, as well as designing and implementing solution designs in Salesforce
  • Designing and developing Salesforce architectures based on Sales and Service Cloud
  • Maintaining and expanding own competence in order to know the new functions of Salesforce
  • Taking an active role in the pre-sales phase and working closely with the sales and pre-sales teams
  • Building and consolidating maturity within the team in new topics
  • Actively helping to define and align own role within the DXC Best Practice
  • MC Growth implementation
  • AI Agentforce Agents Builder
  • Agent Designer with elements.cloud
  • Salesforce ORG assessments
  • Process configuration mining
  • Single point of contact for SFDC contacts global
  • Project coordination with the EMEA and global head
  • Proposal presales work with Salesforce AE and client partners for global accounts
Verified expert

Alexander S.

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Senior SAP Technical Consultant

Ermatingen
Alexander S.

Last position:

Senior ABAP OO Developer at Die Schweizerische Post AG

«ZLF – Future Billing Solution»

Cross-module S/4HANA (MDG, HCM, SD, FI-CA, FI-CO)

  • Technical consulting and development in S4 Master Data Governance (MDG-BP)
  • Development in HR-BP integration, O2C, CAR analytics data modeling, contract accounts, controlling and interfaces. (native HANA, CDS, RAP, Fiori Elements, OData)
Verified expert

Marco C.

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Global Process Owner Business Intelligence

Bellinzona
Marco C.

Last position:

Global Process Owner Business Intelligence at Interroll SA

  • Cover the role of Global Process Owner of the Business Intelligence area and contribute to designing the Data Strategy
  • Responsible for the global BI platform based on SAP BW4/HANA, SAP Analytics Cloud, Datasphere, Analysis for Office and Power BI
  • Collaborate with the FICO team due to acquired skills in this area
  • Work closely with the business worldwide to build dashboards, data models and reports to provide useful insights
  • Coordinate international analytics teams as project manager and report project progress to the Board
  • Participated in the two-year S/4 implementation project with SAP Schweiz, coordinating the SAP implementation team in Portugal and ensuring go-live with all dashboards and reports working and data matched S/4
  • Managed BI projects in Sales, Finance, Global KPIs, Manufacturing and Purchasing as project manager; developed and coded when necessary
  • Led the migration of reports from BusinessObjects and Lumira to Analysis for Office and BW4/HANA
  • Developed Spend Analytics data models and dashboards to analyze purchasing across 30+ entities, achieving 8% savings on purchasing volume and increased group profitability
  • Defined data strategy for the group
  • Created the global Business Intelligence site on Viva Engage, published stories and built the BI website containing links to training, BI directive list of reports and dashboards
  • Created success stories as business use cases, published on Viva Engage
  • Led the Business Intelligence function globally, coordinating BI development teams in Switzerland and abroad
  • Personally developed data models, reports and dashboards
  • Involved in privacy and security topics to guarantee correct compliance of data management
  • Coded using different programming languages
  • Managed more than 15 BI projects over 5 years using agile methodology, delivered on time, on budget and on quality
  • Wrote the BI directive on correct usage of BI tools in the company
Verified expert

Gwang Jin K.

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Data Scientist / Applied AI, Automation & Data Systems Researcher

ZĂĽrich
Gwang Jin K.

Last position:

Data Scientist / Applied AI, Automation & Data Systems Researcher at Independent

  • Built and explored applied GenAI, RAG, GraphRAG, local LLM, agentic AI and document-intelligence prototypes for structured analysis, evidence extraction, semantic search, technical reasoning and decision-useful reporting
  • Developed private local-LLM workflows and AI system patterns focused on privacy, reproducibility, reviewability, low-cost inference and practical user control
  • Built reproducible Python/R workflows for data analysis, automation, API-driven tooling, validation logic, technical documentation and AI-assisted software development
  • Designed workflows around explicit assumptions, traceable inputs, reviewable outputs and failure-mode awareness rather than black-box “looks good” demonstrations
  • Supported RAHN AG in a chemical/regulatory environment with data extraction and processing around WERCS, a regulatory application for chemical product and compliance data
  • Explored complex application/database schemas and wrote nested SQL queries to extract information for mixture calculations, component relationships, regulatory rules and reporting logic
  • Continued hands-on development in Git/GitHub/GitLab/Bitbucket, Docker/Linux deployment patterns, REST/API workflows, error handling, technical writing and fast AI-assisted prototyping
  • Built technical writing and documentation workflows that turn complex systems into clear runbooks, checklists, decision notes and user-facing explanations
Verified expert

Andreas I.

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Business Development

Unterägeri
Andreas I.

Last position:

Business Development at SoftQuadrat GmbH

  • Analysis of the current situation and repositioning of the brand
  • Building up recruiting, sales, and customer support
  • Planning for trade fair participation
  • Establishing a sales process
  • Introducing a CRM tool (Pipedrive)
  • Setting up a subsidiary in Switzerland
  • Implementing all aspects of temporary staffing
Verified expert

Markus F.

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Logistics Expert/Coach

Hettlingen
Markus F.

Last position:

Logistics Expert/Coach at RAPID Technic AG

  • Coaching, developing fundamentals and leading technical aspects in logistics transformation
  • Extending SAP WM functionalities
  • Efficiency measures in shuttle warehouse technology
  • Setting up logistics operations reporting
  • Comprehensive inventory planning and execution
  • Preparing the technical and commercial foundations for cooperation with external logistics service providers
  • Recommendations for the future process and organizational structure
Verified expert

Reinhold S.

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Senior Software Developer

Risch-Rotkreuz
Reinhold S.

Last position:

Senior Software Developer at Hitachi Energy

  • Support and further development of the Leegoo Builder
  • Handling ad hoc requests
  • Definition of rules/attributes and their rules
  • Optimizing and managing SQL queries
Verified expert

Dariusz K.

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Business System Analyst

ZĂĽrich
Dariusz K.

Last position:

Business System Analyst at Zurich Insurance

  • Participating in a strategic enterprise project to introduce a centralized customer data platform ("Single Source of Truth") to eliminate redundant data storage and accelerate digital services

  • Analyzing and documenting business and system requirements for migrating large, heterogeneous data sets (ETL) and for continuous data synchronization between core systems and the new platform

  • Close collaboration with business units, data engineers and architects to gather and validate requirements, and to ensure data quality, consistency and regulatory compliance

  • Defining the migration strategy, specifying ETL processes and synchronization mechanisms, and documenting technical interfaces

  • Developing and executing test cases for migration and synchronization processes, and performing defect analysis to ensure data integrity and system stability

  • Technologies: SQL, Microsoft SQL Server, Azure DevOps, Confluence, UML, RESTful Services, Swagger, Postman

Verified expert

Matthias I.

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Fractional CTO (Principal Engineer / Technical Architect)

ZĂĽrich
Matthias I.

Last position:

Fractional CTO (Principal Engineer / Technical Architect)

  • Designed large-scale systems and APIs serving thousands of concurrent users.
  • Refactored a 650k-LOC monolith and led full AWS migration for stable performance.
  • Introduced SLO-based observability, improving reliability and recovery flow.
  • Optimised cloud and databases, achieving significant cost and latency reduction.
  • Delivered LLM, RAG, and document-automation pipelines adopted in production.
Verified expert

Reto B.

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Managing Director

Brittnau
Reto B.

Last position:

Managing Director at Atsoft GmbH

  • Consulting in ICT, business processes, system architecture, web integration, client-server computing, cross-platform development, responsive web design, social media integration, GUI
  • Custom and specialized solutions
  • Applications for small and medium-sized enterprises
  • Web services, web applications, portals, application extensions (add-ins, plug-ins)
  • Database design, interface solutions
  • Outsourcing in various industries
  • Solutions for other software houses
  • Project management and project support (software engineering, coding)
Verified expert

Bartosz P.

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Senior Project Manager, Product Owner

Meilen
Bartosz P.

Last position:

Senior Project Manager, Product Owner at SoftwareONE

  • Led a global enterprise-platform upgrade across 60+ countries, coordinating multiple localizations, integrations, and stakeholder groups from multiple locations, including Europe, US and India.
  • Product Owner for a delivery team focused on platform usability, performance, and reliability—owning backlog, roadmap, and KPI outcomes.
  • Implemented governance and audit-ready processes that made change safer and more predictable, and improved platform compliance with regulatory requirements.
Verified expert

Noel F.

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Career Transition

Bern
Noel F.

Last position:

Career Transition

Discover over 15,000 top freelancers

Statistics of experts using Data Modeling

Aggregated from the professional profiles of matched freelancers.

Experience

23 years

Data Modeling experts in Switzerland have 23 years of professional experience on average.

Position duration

2.4 years

Data Modeling experts in Switzerland stay in a single position for 2.4 years on average.

Positions per freelancer

14

Data Modeling experts in Switzerland have completed 14 positions on average over the course of their careers.

Top business areas

Information Technology, Project Management, Business Intelligence

Data Modeling experts in Switzerland have gathered most of their hands-on project experience in Information Technology, Project Management, and Business Intelligence.

Top industries

Information Technology, Professional Services, Banking and Finance

Data Modeling experts in Switzerland are most in demand in Information Technology, Professional Services, and Banking and Finance.

Certification focus areas

Information Technology, Project Management, Business Intelligence

Data Modeling experts in Switzerland earn their certifications most often in Information Technology, Project Management, and Business Intelligence.

Bachelor's degree or higher

82%

82% of Data Modeling experts in Switzerland hold at least a Bachelor's degree.

Master's degree or higher

76%

76% of Data Modeling experts in Switzerland hold at least a Master's degree.

Doctorate

12%

12% of Data Modeling experts in Switzerland have a doctorate (PhD).

Certifications per freelancer

3

Data Modeling experts in Switzerland hold 3 professional certifications on average.

Most common languages

English, German, French

Data Modeling experts in Switzerland most often speak English, German, and French.

Speak two or more languages

100%

100% of Data Modeling experts in Switzerland speak two or more languages.

Based on our profile pool as of 29 Oct 2026.

Daily rate distribution

0% 25% 50% 75% 100%
5% of Data Modeling experts in Switzerland charge less than €400 per day.
15% of Data Modeling experts in Switzerland charge between €400 and €800 per day.
50% of Data Modeling experts in Switzerland charge between €800 and €1200 per day.
30% of Data Modeling experts in Switzerland charge €1200 or more per day.
<€400 €400-​800 €800-​1200 €1200+

The chart shows how the daily rates of experts in this technology in Switzerland 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 in Switzerland 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. 957 €

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 980 €

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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.

Data Modeling 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 (82%)
  • Professional Services (64%)
  • Banking and Finance (59%)
  • Manufacturing (59%)
  • Healthcare (50%)
  • Education (36%)
  • Transportation (36%)
  • Retail (36%)

Please note that freelancers can work across multiple industries, so percentages overlap.

About the technology

What Data Modeling Covers

Data Modeling defines how information is structured, related, stored and governed across an application or analytical environment. Specialists translate business concepts into conceptual, logical and physical models, then document entities, attributes, keys, relationships and rules. The result is data that remains understandable and consistent as systems evolve.

Models for Applications

Operational systems often use normalized relational models to protect data integrity and support transactions. Analytical systems may use dimensional models with facts, dimensions and carefully defined grains for reporting and business intelligence. Depending on the use case, graph, document or event-based structures can be more suitable than tables.

Ecosystem and Tooling

Work commonly spans SQL databases, cloud warehouses, data lakes and modeling tools. Strong professionals connect models with platforms such as PostgreSQL, SQL Server, Snowflake, BigQuery, dbt and enterprise catalogues. They may also use:

  • Entity-relationship diagrams and schema documentation
  • Data definition language and migration workflows
  • Data catalogues, lineage and governance rules
  • Version control and automated model testing

When Companies Need Support

Companies bring in freelance expertise when a new product needs a durable schema, a warehouse has become difficult to maintain or multiple systems disagree about core business data. Support is also valuable during mergers, cloud migrations and regulatory reporting initiatives. In Switzerland, specialists may work across finance, insurance, pharmaceuticals, manufacturing and public services, with remote or on-site collaboration shaped by the project and language needs.

Typical Deliverables

A project can produce a domain model, target schema, mapping specification or warehouse structure. Professionals may also deliver migration plans, source-to-target mappings, naming standards and documentation for technical and business users. Typical tasks include:

  • Converting requirements into entities, relationships and constraints
  • Reviewing schemas for duplication, ambiguity and performance risks
  • Mapping data between operational and analytical systems
  • Defining tests for freshness, uniqueness and referential integrity

Signs of Strong Expertise

A strong specialist starts with business meaning rather than forcing every problem into a preferred database pattern. They explain trade-offs between normalization, query performance, flexibility, governance and change management. Look for clear documentation, practical SQL knowledge, experience with warehouse or application architecture, and the ability to validate assumptions with stakeholders. The best work leaves teams with models they can operate, extend and trust.

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Frequently asked questions

Quick answers to the questions that come up most around Data Modeling.

Data Modeling is used to define how information is organized, related and governed in software applications, warehouses and reporting environments. It helps teams prevent inconsistent definitions, improve data quality and make systems easier to change.

Data Modeling describes business concepts and their relationships before and across implementation choices. Database design turns those decisions into a specific schema, including indexes, constraints, storage choices and performance settings.

A strong Data Modeling specialist often combines SQL, database design and data architecture with warehouse concepts, ETL or ELT workflows and governance. Experience with tools such as dbt, data catalogues, cloud warehouses and version control is also useful.

The right level for Data Modeling depends on scope, risk and the number of systems involved. A focused schema review may need a specialist for a short engagement, while a migration or enterprise model benefits from someone who can lead discovery, technical decisions and stakeholder validation.

Yes, Data Modeling is well suited to remote work because diagrams, documentation, SQL and review sessions can be shared digitally. On-site workshops can still help when domain knowledge is spread across teams or when German, French, Italian or English language expectations matter.

The choice depends on how the data is used. Data Modeling for transactional applications often favors normalized relational structures, analytical reporting commonly uses dimensional models, and graph models can fit complex networks such as dependencies, recommendations or fraud relationships.

Ask a Data Modeling specialist to explain grain, business rules, keys, dependencies and trade-offs in plain language. Review a sample model or case discussion for clear assumptions, useful documentation, testable quality rules and attention to both current needs and future change.

A typical Data Modeling engagement can include conceptual, logical and physical diagrams, a schema definition, mapping specifications and documentation. Depending on the project, the specialist may also provide migration guidance, lineage, naming standards and automated data-quality checks.

The average hourly rate of freelancers in Switzerland who have used Data Modeling in their recent projects is 120 €, which corresponds to a daily rate of about 957 € based on an 8-hour working day.

Of the freelancers in Switzerland who have used Data Modeling in their recent projects, 82% hold at least a Bachelor's degree, 76% hold at least a Master's degree, and 12% hold a doctorate.

On average, freelancers in Switzerland who have used Data Modeling in their recent projects have 23 years of professional experience, with a single engagement typically lasting around 2.4 years.

The most common languages among freelancers in Switzerland who have used Data Modeling in their recent projects are English (100%), German (86%), and French (36%).

The most common industries among freelancers in Switzerland who have used Data Modeling in their recent projects are Information Technology (82%), Professional Services (64%), and Banking and Finance (59%).

The most common business areas among freelancers in Switzerland who have used Data Modeling in their recent projects are Information Technology (95%), Project Management (73%), and Business Intelligence (64%).

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.

Zurich Geneva Basel Bern

Countries:

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