DAX Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used DAX
Chintan Padaliya
Last position:
Product Owner and Technical Product Lead at Sustamize GmbH
LLM-based features for automated COâ‚‚e data extraction from unstructured documents (70% reduction)
Agentic AI pipeline for automated Scope 3 emissions calculation with 150,000+ validated data records
Smart API workflows for real-time carbon footprint calculations in ERP and ESG systems
ML algorithms to predict emission hotspots and optimize product design
Automated data validation pipelines with NLP for quality assurance of COâ‚‚e datasets
Led a 15-person cross-functional team to develop 10+ AI features
Strategic product planning and AI roadmap with 35% shorter time to market
Stakeholder management with DAX companies (40% higher satisfaction, 95% retention)
On-time project delivery with 95% budget adherence through data-driven backlog management
Agile methods (Scrum, Kanban) with continuous AI/ML integration (25% team velocity increase)
Product-market fit for AI features through A/B testing and analytics (60% higher adoption rate)
Nadine Sebald
Last position:
HR Consultant & Interim Manager (Freelancer) at Accurids GmbH
Covering a vacancy in HR Operations, hiring HR Manager, active search, Personio automation and workflows, ATS implementation, setup of interfaces to HRMS
Dave Mooney
Last position:
Founder & Lead Designer at Dave Mooney Software
- Leading end-to-end UX for two AI SaaS products in closed beta, including LLM-interaction design, prompt-UX, and human-in-the-loop patterns with commercial distribution signed for launch in Q3 2026
- Built a self-built LLM reframing and RAG-correction pipeline powering multi-profile CV and case-study generation in production use
- Shipping real code alongside research, including Three.js/GLSL portfolio work, Figma-API tooling, and a Chrome MV3 extension for session-sync automation
Daryoosh Dehestani
Last position:
FP&A Data & AI Architect at Epta Group
Scope: Embedded as FP&A Data & AI Architect within the Finance function of a major European refrigeration manufacturer, leading the transformation of manual, fragmented financial reporting into an automated, governance-driven intelligence platform. Driving the shift from Excel-based controlling to structured data architecture, Power BI analytics, and AI-assisted financial operations.
Financial Data Integrity & ERP Governance
- Initiated and led GL vs. subledger reconciliation investigations, identifying and resolving structural mismatches between General Ledger and subledger data that had gone undetected prior to engagement
- Conducted asset analysis to identify items missing from General Ledger postings, surfacing gaps in fixed asset tracking and period-end completeness
- Validated SAP reports, establishing baseline data quality standards for Finance team consumption
- Established systematic SAP data validation framework ensuring ongoing integrity between ERP postings and downstream reporting outputs
Finance Reporting Transformation
- Designed and implemented a structured Transformation Project approach for converting manual Finance reports into fully automated processes
- Created and owns the Data Reporting Audit Log; a centralized tracking system capturing report owners, stakeholders, data sources, manual effort estimates, and automation opportunity scores across the Finance function
- Mapped the full reporting landscape identifying quick-win automation targets and strategic Power BI migration candidates
- Actively reducing manual Excel and PowerPoint dependency across FP&A workflows; replacing point-in-time snapshots with live, governed data models
Power BI & Analytics Enablement
- Introduced and presented Power BI as the strategic reporting platform to Finance leadership, building internal buy-in for the BI transformation roadmap
- Designed initial Power BI architecture aligned with SAP, Salesforce and Oracle data structures and FP&A reporting requirements
- Established report ownership, governance documentation, and data lineage standards enabling sustainable self-service analytics across the Finance team
Transformation Infrastructure & Collaboration
- Configured and deployed Jira as the transformation project management hub, establishing structured sprint workflows, backlog management, and progress visibility for Finance IT initiatives
- Proposed and initiated a dedicated FP&A Communication & Transformation Hub, a structured cross-functional forum aligning Finance, IT, and business stakeholders around the reporting transformation roadmap
- Positioned the Finance function as an active driver of data governance and digital transformation within the broader organization
Outcomes
- GL/subledger reconciliation gaps identified and investigation framework established within first two weeks of engagement
- Data Reporting Audit Log deployed; first structured inventory of Finance reporting landscape in company history
- Power BI transformation roadmap presented and approved by Finance leadership
- Jira-based project governance live; Finance transformation now tracked with full sprint visibility
Technologies: SAP FI/CO · Power BI · DAX · SQL · Excel (advanced) · Power Query (M) · Power Automate · VBA · Jira · Microsoft 365 · SharePoint · Salesforce (Sales Data) · Oracle HCM · Python
Ajay Kumar Deekonda
Last position:
Senior BI and Analytics Engineer at Novartis
- Led enterprise reporting modernization by migrating legacy SSRS reporting solutions to Power BI, supporting 500+ business users while ensuring full GDPR/DSGVO compliance.
- Designed and optimized Power BI and Microsoft Fabric semantic models using star schema, dimensional modeling, advanced DAX, and performance optimization techniques, reducing query latency by 25%.
- Delivered 20+ executive and operational dashboards featuring KPI scorecards, drill-through, bookmarks, and row-level security, improving reporting efficiency by 20%.
- Enabled self-service analytics through governed Power BI datasets, dataflows, and gateway architecture, increasing business-led reporting adoption by 35%.
- Configured an incremental refresh policy and query folding for a 50+ million row sales dataset, reducing daily report refresh times by 85%.
- Deployed automated ETL/ELT pipelines using Azure Data Factory, Microsoft Fabric, and Snowflake, reducing reporting delivery timelines by 40% through workflow automation.
- Spearheaded Microsoft Fabric analytics modernization initiatives including lakehouse architecture, OneLake integration, and centralized data platform development, reducing data latency from 2 hours to 20 minutes.
- Translated business requirements from 15+ stakeholders into scalable Power BI semantic models and dashboards, improving reporting consistency and reducing ad-hoc reporting requests by 25%.
- Applied Microsoft Copilot and generative AI tools to accelerate SQL development, DAX authoring, technical documentation, and testing activities, reducing development effort by approximately 15 hours per week.
Marco Toscano
Last position:
Scrum Master at Siemens Energy
- Responsible for introducing agile methods within the Interface & Integration Team (2 Scrum Teams)
- Planning and delivering trainings in agile methods
- Facilitating workshops and Scrum events
- Removing impediments
- Increasing sprint performance
Neil Scholten
Last position:
Program Director & Transformation Architect at Xpertpulse GmbH
- Strategic business development transition: product before customer in <4 months instead of 10
- Strategic business development transition: development cost reduction vs. plan: 40% (-€250K)
- Executive mentor & coach for CEO & CPO: CEO too busy to improve – portfolio, organizational structure, and strategy
- Executive mentor & coach for CEO & CPO: PO→CPO transition for taking full product responsibility for Lohnpulse
- Interim CIO: general contractor vendor scouting / onboarding / handover to CPO
- Interim CIO: transition MVP→operational product by CPO
Philipp Grunert
Last position:
Data Scientist & ML Engineer at Data-Science Factory GmbH
- Building, implementing and selling automated Data Science solutions such as Scorecard Factory and Forecast Factory
- Implementation of automated end-to-end cloud processes
- Development of LLM and NLP models
- Creation of interactive reports
- Support for national and international large corporations as well as medium-sized companies in implementing ML projects
Alexander Bromberg
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
Oleg Orlov
Last position:
Senior Software Developer / BI Integration Developer Power BI, C# at Telecommunications
Embedded Analytics & AI-assisted BI
Design and development of an integrated analytics solution based on ASP.NET Core, Power BI Embedded, and LLM services to provide contextual business information.
Development of an AI agent with Function/Tool Calling for secure orchestration of REST APIs, SQL data sources, and technical services within defined business processes.
Build-up of automated BI workflows including workspace management, deployment processes, and scheduled refresh via the Power BI REST API.
Implementation of secure service-to-service communication with Microsoft Entra ID and service principal, as well as integration into existing enterprise system landscapes.
Technologies: ASP.NET Core, C#/.NET, Power BI Embedded, Power BI REST API, LLM API, AI Agents, Function/Tool Calling, Entra ID
Sarvesh Lunia
Last position:
Data Analytics for Renewable Energy Integration at Harz University
- Created data pipelines and visualization tools to support sustainable energy decision-making
- Developed insights that could optimize renewable energy deployment and grid integration strategies
Carsten Feichtinger
Last position:
Interim Controller / Knowledge Transfer at Medium-sized manufacturing company in the construction industry, existing client
Focus areas: knowledge transfer, reporting, cost analysis Tasks
- Ensure knowledge transfer from the outgoing controller
- Document key controlling processes
- Operational controlling (cash flow planning, reporting)
- Simplify the cost center structure to improve cost analysis Results
- Transparent knowledge transfer and sustainable documentation of controlling processes
- Improved cost analysis and more efficient reporting
Volker Haase
Last position:
Data Analyst at Optaro GmbH
Creation of workflows for generating the data basis for the article import of a web shop: combining data from several sources, analyzing the requirements, designing the process with Jupyter Notebooks and Knime. Also creating code for automation in Python using Polars and Pandas.
Processing the source data, filtering and merging the source files and creating the needed intermediate products, creating the upload files, plausibility checks, quality checks.
Technologies used: PyCharm, Python, Jupyter Notebooks, SQL, Knime. Pandas, Polars
Karl-Heinz Schulte
Last position:
CIO
- CIO at nutrition R&D and producer (family owned)
Strengthened IT Team, recovered IT service, reviewed and streamlined complex SAP landscape, reviewed IT security set-up, reviewed laboratory IT
Torsten Feix
Last position:
Data Analyst, Requirements Manager at Isabellenhütte Heusler GmbH
Analysis of the existing reporting platform including processes and governance topics with stakeholders from sales and marketing.
Detailed analysis and evaluation of client-defined requirements for existing reporting and new dashboards.
Supporting stakeholders in managing sales processes and early detection of KPI trends.
Use of Microsoft Power BI as central analysis and reporting platform.
Developing a proposal for the necessary evolution of processes and the Power BI platform.
Gathering current business processes and defining company-wide KPIs in coordination with stakeholders.
Analysis and inventory of the client's Power BI platform.
Analysis of processes and data governance.
Recording and documenting current business processes.
Developing recommendations for process and reporting platform improvements.
Designing and implementing dashboards in Power BI.
Defining company-wide KPIs and aligning them with stakeholders.
Microsoft Power BI.
Data analytics.
KPI definition and reporting.
Dashboard design and data visualization.
Stakeholder management and requirements management.
Discover over 15,000 top freelancers
Statistics of experts using DAX
Aggregated from the professional profiles of matched freelancers.
Experience
19 years
Position duration
3.3 years
Positions per freelancer
10
Top business areas
Information Technology, Business Intelligence, Project Management
Top industries
Information Technology, Professional Services, Manufacturing
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
91%
Master's degree or higher
62%
Doctorate
12%
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
97%
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Germany 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 Germany 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
DAX for models
DAX, short for Data Analysis Expressions, is the formula language behind Power BI, Power Pivot, and SQL Server Analysis Services tabular models. It is used to define measures, calculated columns, and calculations that turn raw tables into clear business logic.
What experts deliver
- Measures for revenue, margin, and pipeline reporting
- Time intelligence for month-to-date, year-to-date, and rolling views
- Row-level logic across related tables
- Calculation groups and reusable business rules
Strong specialists know when to use measures instead of calculated columns and how filter context changes the result.
Common project needs
Companies bring in freelance DAX experts when reports become slow, totals look wrong, or business rules are buried in many visuals. That is common in Germany-based teams working with finance, manufacturing, retail, and shared reporting centers.
A freelancer can clean up models, refactor old Power Pivot logic, or fix measures that break after a schema change.
Ecosystem and tooling
DAX rarely stands alone. It sits with the tabular model, Power BI Desktop, Analysis Services, and often Excel-based reporting.
- Power BI semantic models
- Tabular Editor for maintainable rules
- DAX Studio for debugging and query analysis
- SSAS Tabular and Power Pivot support
What good specialists know
A strong DAX professional reads relationships, filter context, and storage behavior before writing formulas. They keep measures readable, avoid unnecessary complexity, and test results against real business cases.
They also document logic so finance, sales, and operations teams can trust the numbers.
When to hire
Hire outside help when your team needs faster delivery, a model review, or support for a difficult reporting change. Freelancers are also useful when your internal specialists know Power BI well but need deeper Data Analysis Expressions expertise for a specific build.
Remote work is common, but on-site sessions in Germany can help when stakeholders need to align on business rules or validate report behavior together.
Frequently asked questions
Curious about DAX? Here are the answers that come up again and again.
DAX is used to create measures and calculation logic in Power BI, Power Pivot, and Analysis Services tabular models. Companies use it for financial reporting, operational dashboards, and any model that needs context-aware calculations instead of simple spreadsheet formulas.
DAX calculates values inside the model after data is loaded, while Power Query prepares and transforms data before load. SQL usually works at the source or warehouse layer, so a good project often uses all three for different parts of the reporting stack.
Bring in a DAX specialist when measures are hard to maintain, totals do not match business rules, or performance drops in large Power BI models. Freelance help is also useful during report migrations, model redesigns, or when internal teams need support on complex time intelligence.
A strong DAX professional usually understands data modeling, star schemas, relationships, and filter context. Familiarity with Power BI, Analysis Services, Tabular Editor, and DAX Studio helps them debug formulas and keep the semantic model clean.
Simple report measures may only need a practical DAX expert who can read the model and fix a few calculations. More demanding work, such as calculation groups, model optimization, or tricky business logic, usually needs someone who has shipped several tabular projects and can explain trade-offs clearly.
Most DAX work can be done remotely because the key inputs are the model, the formulas, and clear business rules. On-site sessions in Germany can help when stakeholders need to validate definitions live, especially for finance or management reporting.
Look for someone who explains context, relationships, and measure design in plain language. A strong DAX specialist writes readable formulas, tests edge cases, and can show why a result is correct, not just that it works once.
Experienced DAX freelancers usually ask for the model file, the business definitions behind key measures, and examples of the wrong output. They also want to know whether the work sits in Power BI, Power Pivot, or Analysis Services, because that changes how they debug and deliver the solution.
The average hourly rate of freelancers in Germany who have used DAX in their recent projects is 108 €, which corresponds to a daily rate of about 867 € based on an 8-hour working day.
Of the freelancers in Germany who have used DAX in their recent projects, 91% hold at least a Bachelor's degree, 62% hold at least a Master's degree, and 12% hold a doctorate.
On average, freelancers in Germany who have used DAX in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 3.3 years.
The most common languages among freelancers in Germany who have used DAX in their recent projects are German (99%), English (97%), and French (25%).
The most common industries among freelancers in Germany who have used DAX in their recent projects are Information Technology (72%), Professional Services (66%), and Manufacturing (39%).
The most common business areas among freelancers in Germany who have used DAX in their recent projects are Information Technology (76%), Business Intelligence (71%), and Project Management (64%).
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 
Dusseldorf Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
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Philipp Thomaschewski
FRATCH CEO
