DAX Experts in Cologne
for sharper analytics, matched in minutes with vetted specialistsHire experts who turn business questions into reliable DAX measures, Power BI semantic models and performant Power Pivot solutions. FRATCH matches you quickly and precisely with vetted, available freelancers who fit your project.
Meet FRATCH Experts in Cologne, who have recently used DAX
Yaroslav S.
Last position:
Senior Low-Code Consultant at Freelancer
Structured analysis and evaluation of business processes
Gathering, documenting, and prioritizing requirements
Creating business-friendly and technically executable process models
Use of Camunda tools
Deriving requirements and interfaces from BPMN diagrams
Coordination with stakeholders and business units
Translating business requirements into technical solution designs
Implementing efficient and tailored applications
Systematic collection, analysis, and documentation of requirements
Prioritizing and validating requirements in close collaboration with stakeholders
Alignment between business and development to ensure shared objectives
Creating use cases, user stories, and acceptance criteria
Continuous requirements and change management throughout the project lifecycle
Define project goals and create project plans
Delegate tasks and monitor project progress
Monitor budgets and inform stakeholders
Mendix: Architecture, development, and maintenance of custom applications (Microflows, Domain Model, Security, XPath)
Modeling Mendix workflows for process optimization
Develop scalable apps with Mendix including REST/SOAP integration with SAP, SQL, Azure & SharePoint
UI design for Mendix using Atlas UI, Fluent UI, HTML, CSS, JavaScript
Develop web & mobile apps with Mendix using agile methods (Scrum, Kanban)
Implement business logic with Mendix Microflows and Nanoflows
Performance optimization and architecture improvements for Mendix applications
Conduct Mendix training
Create technical documentation and best practices for Mendix
Coaching and mentoring for low-code development with Mendix
Alexander B.
Last position:
Senior Data Engineer at RWE AG
Architected and maintained data products for renewable energy operations, covering wind turbine, grid-meter, and weather data. Built scalable ETL/ELT pipelines in Azure Databricks using Delta Lake (bronze/silver/gold layers) and processed data in various formats, including structured and semi-structured data. Contributed to a data quality framework supporting table and column documentation, outlier detection, and completeness metrics across all datasets within a data product. In addition, implemented a DORA KPI Databricks dashboard used across all data products. Optimized CI/CD processes in Azure DevOps to streamline deployment across development, test, and production environments.
Technology stack: Azure Databricks, PySpark, SQL, Delta Lake, Unity Catalog, Azure Data Lake, APIs, Dremio, Azure DevOps, YAML, Git, Databricks Workflows, Application Insights, Terraform, OpenAI API, Codex, LLM-assisted workflows
Rodion O.
Last position:
Founder, CTO & Managing Director at MYNR Product Mining GmbH
- Responsible for the architecture and development of an AI-native SaaS platform for industrial product portfolio management.
- Designed the modern data platform architecture on Azure for scalable analytics and enterprise data integration.
- Built enterprise data ingestion and transformation pipelines across complex industrial system landscapes.
- Developed graph-based representations of product structures and dependencies for analytical reasoning.
- Designed and implemented an agentic AI framework for AI-supported decision workflows.
- Built scalable analytical microservices and integrated reporting through modern BI technologies.
- Coordinated backend, AI, and frontend development across the MYNR platform stack.
Thomas R.
Last position:
Power BI Consultant
Focus:
Consulting in reporting and project management for Power BI
Goal:
Creation of IT application dashboards for business areas
Activities:
- Technical consulting and support in managing and coordinating an existing reporting setup
- Structured collection, analysis, and preparation of business reporting requirements
- Technical coordination with defined internal contacts
- Design and optimization of Power BI reports to improve data analysis
- Development of concepts and recommendations for the further development of an efficient and transparent reporting system
- Support in the user-friendly visualization of relevant company KPIs as a basis for decision-making
Tools/Skills: MS-PowerBI, DAX, MS-Office 365, PowerQuery M, BCS
Vitali H.
Last position:
Power BI Expert at Media Agency
The project aims to migrate the company's existing Power BI Premium environment to Microsoft Fabric. This migration includes moving the existing data models, reports, and dashboards to the new platform to take advantage of the extended features and improved performance of Microsoft Fabric. The solution will be deployed in various regions worldwide to ensure a unified and consistent reporting and analytics environment for all locations.
Requirements analysis, migration planning, data migration, adapting reports and dashboards, testing and validation, training and support, deployment and monitoring, regional rollout.
Ronny H.
Last position:
Förderbank Deutschland
- Extraction and transformation of relevant data from the SAP system developed for the bank and consolidation into the existing reporting environment
- Integration of the data into the existing BI model (extending the star schema to a galaxy schema) for generating the funding committee report and the business development report
- Ensuring data quality
- Knowledge transfer to department staff (SAP, SQL database, Power Pivot, DAX)
Discover over 15,000 top freelancers
Statistics of experts using DAX
Aggregated from the professional profiles of matched freelancers.
Experience
20 years (Germany: 16 years)
Position duration
1.7 years (Germany: 2.9 years)
Positions per freelancer
15 (Germany: 11)
Top business areas
Business Intelligence, Information Technology, Product Development
Top industries
Professional Services, Information Technology, Energy
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
80% (Germany: 98%)
Master's degree or higher
60% (Germany: 73%)
Certifications per freelancer
9 (Germany: 3)
Most common languages
German, English, Russian
Speak two or more languages
100% (Germany: 95%)
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Cologne 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 Cologne using DAX
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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
DAX experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Professional Services (100%)
- Information Technology (83%)
- Energy (50%)
- Manufacturing (50%)
- Aerospace and Defense (33%)
- Education (33%)
- Banking and Finance (33%)
- Healthcare (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What DAX does
DAX, short for Data Analysis Expressions, is the formula language behind analytical models in Microsoft Power BI, Power Pivot in Excel and SQL Server Analysis Services tabular models. It calculates measures, calculated columns and tables while respecting filters, relationships and evaluation context. Companies use it to turn structured business data into interactive, decision-ready analysis.
Where it is used
DAX supports reporting and planning across finance, sales, operations, supply chain and customer analysis. Typical deliverables include:
- Power BI measures for revenue, margin, retention and forecasts
- Time-intelligence logic for period comparisons and rolling trends
- KPI models with drill-through, segmentation and row-level security
- Reusable calculation patterns for self-service reporting
Ecosystem and tooling
Strong DAX work depends on the wider Microsoft analytics stack. Specialists commonly use Power BI Desktop and Service, Power Query with M, Excel Power Pivot and tabular models in Analysis Services. They also work with Tabular Editor, DAX Studio and Performance Analyzer to inspect dependencies, test formulas and diagnose query performance.
When expertise matters
Companies bring in freelance DAX specialists when reports produce conflicting figures, models become slow or internal teams lack capacity for a major migration. Expertise is also valuable when moving from spreadsheets to governed Power BI models or standardising metrics across departments. In Cologne, remote collaboration is common, while workshops and stakeholder sessions may benefit from local availability and clear German or English communication.
Skills beyond formulas
A capable professional looks beyond writing a measure. They clarify metric definitions, shape a clean star schema, set useful relationships and separate model logic from presentation choices. Adjacent skills often include SQL, dimensional modelling, Power Query, data governance, Power BI deployment and secure access design.
How strong specialists work
The best DAX professionals make results explainable and maintainable. They validate measures against trusted source data, account for filter and row context, and use variables and naming conventions that other teams can follow. They measure performance with representative workloads, document assumptions and leave teams able to extend the model after delivery.
Frequently asked questions
Not sure where to start with DAX? These answers cover the essentials.
DAX is used to define measures, calculated columns and calculated tables in Power BI semantic models. It supports business calculations such as gross margin, year-over-year change, distinct customer counts and dynamic targets while responding to report filters.
DAX calculates results inside an analytical model, using relationships and filter context at query time. Power Query, which uses M, prepares and reshapes data before loading, while SQL retrieves or transforms data in a source system. A strong solution often uses all three in clearly separated roles.
A capable DAX specialist should understand dimensional modelling, SQL, Power Query, data quality and Power BI security. Experience with Tabular Editor, DAX Studio and deployment practices helps when models must be tested, governed and maintained by a wider team.
The required DAX expertise depends on model complexity, not only on the number of formulas. A simple reporting model may need solid measure design, while enterprise work can require advanced context transition, calculation groups, row-level security and performance tuning. Ask for examples comparable to your data model and business logic.
DAX projects are often well suited to remote collaboration because model reviews, workshops and report testing can happen online. Teams in Cologne may still prefer on-site sessions for requirements gathering or stakeholder training. Agree on access, documentation, meeting language and handover expectations early.
Review whether DAX measures match agreed business definitions and return correct results under different filters. Ask the specialist to explain evaluation context, model relationships and performance decisions in plain language. A quality delivery includes readable formulas, validation cases, documentation and a maintainable model structure.
DAX is primarily associated with Power BI, but it also runs in Excel Power Pivot and SQL Server Analysis Services tabular models. The language is shared across these environments, although available features, deployment options and surrounding tools can differ.
DAX is a good fit for calculations that must react to report filters, selections and relationships, such as dynamic KPIs or comparative periods. Stable, reusable transformations and heavy data preparation often belong in SQL or Power Query. The right choice depends on refresh needs, governance, model size and where the logic should be maintained.
The average hourly rate of freelancers in Cologne, Germany who have used DAX in their recent projects is 99 €, which corresponds to a daily rate of about 789 € based on an 8-hour working day.
Of the freelancers in Cologne, Germany who have used DAX in their recent projects, 80% hold at least a Bachelor's degree and 60% hold at least a Master's degree.
On average, freelancers in Cologne, Germany who have used DAX in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 1.7 years.
The most common languages among freelancers in Cologne, Germany who have used DAX in their recent projects are German (100%), English (100%), and Russian (33%).
The most common industries among freelancers in Cologne, Germany who have used DAX in their recent projects are Professional Services (100%), Information Technology (83%), and Energy (50%).
The most common business areas among freelancers in Cologne, Germany who have used DAX in their recent projects are Business Intelligence (100%), Information Technology (100%), and Product Development (83%).
Main locations of FRATCH Experts, who have recently used DAX
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 
Berlin 
Munich 
Frankfurt 
Dusseldorf 
Essen Countries:
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