DAX Expert in Munich
for sharper Power BI models, matched in minutes with vetted available freelancersHire experts who create reliable DAX measures, optimize Power BI semantic models and turn complex business rules into clear reports. FRATCH connects you quickly with precise, AI-matched freelancers who are vetted and available for your project.
Meet FRATCH Experts in Munich, who have recently used DAX
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
Deepa K.
Last position:
Data Analyst – BI Lead Engineer at Novartis
- Leading enterprise BI transformation across Power BI & Microsoft Fabric, delivering scalable data models, automated reporting, and high-performance analytics solutions for commercial and operational leadership.
- Building and optimizing Power BI Dataflows, Fabric Lakehouse datasets, semantic models, and automated reporting pipelines to improve data scalability, governance, and reporting performance.
- Driving dashboard modernization and KPI governance by translating complex business requirements into executive-level insights, interactive visualizations, and decision-ready analytics.
- Designing end-to-end Microsoft Fabric architectures integrating data ingestion, transformation, virtualization, and enterprise reporting across cross-functional business domains with SAP BW to Qlik to Power BI migration.
- Delivering AI-enabled reporting capabilities, threshold-based alerting, and automation frameworks within the Power BI ecosystem to accelerate business decision-making.
- Partnering with commercial leadership, analytics teams, and IT stakeholders to standardize KPIs, optimize BI strategy, and deliver scalable, business-critical reporting solutions.
- Recognized for combining strong stakeholder leadership, technical architecture expertise, and business-driven analytics to deliver impactful enterprise BI transformation initiatives.
Ajay Kumar D.
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 T.
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
Vera S.
Last position:
Founder & Independent Consultant at VS Consulting
- Transformed the marketing department of a global logistics and transport manufacturer in Germany, identifying value-driving measures, coordinating key stakeholders like CMO and CSO, and designing and implementing revenue-driving initiatives.
- Led a strategic transformation & change-management and implementation project for the CMO and CPO of a KKR portfolio company (HQ in NYC & Geneva), optimizing PMO structures, designing and leading executive workshops, managing executive stakeholders, and reporting across key global markets.
- Identified and quantified growth and cost-cutting opportunities for a global F&B/FMCG manufacturer & distributor through market sizing, competitive analysis, and profitability assessments, highlighting €300 m e-commerce growth potential and €100 m savings.
- Directed internal communications and PMO for an enterprise-wide analytics initiative at a global pharma company, creating executive-ready packs, newsletters, and storylines for leadership, while maintaining RAID/critical path and aligning 10+ workstreams across regions.
- Designed and directed a national go-to-market marketing strategy covering customer segmentation, digital/offline touchpoints, and e-commerce journeys for the German commercial lead of a new therapy at a global pharma corporation, earning ‘lighthouse project’ recognition by the country CEO.
- Led a project and team for the board of a DAX-40 company in a comprehensive organizational transformation strategy, managing scopes, budgets, timelines, and stakeholders to deliver a strategy affecting over 100,000 employees globally.
- Upgraded reporting and organizational structure for an automotive e-commerce marketplace, driving operational efficiency and supporting €615 m annual revenue.
Philipp G.
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
Miruna S.
Last position:
Senior Data Analyst / Analytics Engineer
- Develop data products as part of a Data Mesh / Medallion architecture on Databricks and Azure Synapse.
- Build Power BI dashboards using consolidated data from multiple source systems (sales, service, contracts, inventory data).
- Define KPIs and reporting standards in close collaboration with business stakeholders.
Xinyang M.
Last position:
Sales Operations Analyst Intern at Capgemini
- Developed and maintained 5 Power BI dashboards for pipeline tracking, forecasting, revenue-gap, quota-achievement, and deal-performance analysis.
- Delivered weekly, monthly, and quarterly reporting used by approximately 100 stakeholders across Sales, Finance, and Marketing.
- Built semantic data models and ETL workflows using Power Query, DAX, and SQL; integrated Salesforce, SharePoint, internal data warehouse, and Excel sources.
- Automated data ingestion, cleaning, transformation, format standardization, KPI calculations, dashboard refresh, and reporting preparation using Power Query, DAX, and Power BI, eliminating several hours of recurring manual data preparation and reporting work.
- Standardized KPI calculations and built interactive reports with row-level security, drill-through, and Waterfall analysis for business reviews and forecasting.
Karlheinz W.
Last position:
Head of Systems Engineering ad Interim at Supplier of military energy systems
- Managing the Systems Engineering department with more than 30 employees in 3 teams
- Providing operational support in defining and implementing SE processes
- Analyzing existing approaches and identifying opportunities for improvement
- Planning resources and determining future staffing needs
- Preparing process and role descriptions
- Coordinating cooperation with other departments
- Planning and coordinating employee training (MBSE, RE, DOORS)
- Systematically developing objectives and templates for implementing efficient Requirement-Based Systems Engineering for new development projects
- Building and maintaining model structures in DOORS
- Creating the requirements management plan and user documentation
- Implementing special approaches using DXL
- Environment and applications: DOORS, Excel, Power BI
Stefan C.
Last position:
SSIS Development at Stadtsparkasse München
- Replacement of a Java application and the Oracle DB for loading the internal WerWasWo system using SSIS.
- Development of SSIS packages to load text files into the database (SQL Server)
- Development of a database project for deployment on various servers
- Creation of queries to monitor the loading runs
- Development of a PowerShell script to automate the deployment of the SSDT projects.
- Oracle, SQL Developer, Microsoft SQL Server 2022 on-premises, SQL Server Management Studio v21, Visual Studio 2022, SSIS, SSDT, PowerShell.
Bernd S.
Last position:
Business Data Analyst | PowerBI & Microsoft SQL Server at think-cell Software GmbH
- Performance optimization and centralization of reporting by creating data models using SSMS (SQL) & SSAS (DAX) and integrating data via SSIS
- Optimizing and extending the current PowerBI dataset (in parallel until the SSAS data model is ready)
- Expanding current reports (migrating reporting to SSAS source after building the SSAS data model)
- Conducting regression analyses, cohort analyses, price/quantity analyses, and strategy project success analyses
- Training internal team members
Azadeh T.
Last position:
AI Engineering Fellow at Turing College
- Completed an intensive AI Engineering Program focused on LLM evaluation, retrieval, agent orchestration, and multimodal workflows.
- Designed retrieval pipelines with document ingestion, semantic search, and citation-aware outputs using LangChain and ChromaDB.
- Built LangGraph-based agent workflows with state handling, clarification loops, and human-in-the-loop approval steps.
- Applied prompt engineering and evaluation patterns, including scoring logic and guardrails, to improve output quality and reliability.
- Worked extensively with Python, FastAPI, OpenAI APIs, LangChain, LangGraph, and ChromaDB in end-to-end implementations.
Tapasvi M.
Last position:
Data Analyst — Working Student at DENSO Automotive Deutschland GmbH
- Built and maintained Power BI dashboards (DAX, Power Query, data modeling) tracking KPIs across 15+ global manufacturing sites — primary reporting tool for EU leadership decision-making.
- Developed a multi-screen Power Apps application (configurator-style tool) with SharePoint-based workflow integration for the sales team — designed jointly with business stakeholders and IT.
- Built and maintained automated Power Automate workflows connecting to SQL databases; independently identified and deployed an LLM-driven automation use case that eliminated 90% of manual reporting effort — self-pitched to leadership and taken end-to-end into production.
- Built a Python-based data pipeline (SQL) extracting, modeling, and validating data across 10+ EU plants — establishing reliable data models and KPIs for cross-site reporting.
Marco B.
Last position:
Business Analyst | IT Project Manager at Mercedes-Benz Group AG
- Coordination of implementing IT projects, subprojects, and enhancements within DevOps
- Management of IT service providers and responsibility for the quality of IT systems while meeting strategic guidelines
- Assisting in the creation of security-relevant IT documents, including security profiles, Data@Cloud, SCA, and penetration tests
- Full project management responsibility: monitoring and ensuring adherence to resources (scope, schedule, cost, and quality)
- Defining requirement profiles for external service providers and reviewing and evaluating proposals
- Supporting the setup and management of Windows and Linux servers in collaboration with Infosys, including configuring and enabling network ports
Manuel H.
Last position:
Senior Consultant at valantic Supply Chain Excellence GmbH
- Led cross-functional teams to enhance multi-tier supply chain reliability in industrial sectors, driving strategic alignment and delivering operational improvements.
- Held strategic ownership of a key automotive account, securing a €5.8M, 3-year framework agreement through alignment of service delivery with executive priorities.
- Served as direct report and deputy to the Vice President, acting as a trusted partner in client engagement management and internal leadership.
Discover over 15,000 top freelancers
Statistics of experts using DAX
Aggregated from the professional profiles of matched freelancers.
Experience
15 years (Germany: 16 years)
Position duration
2.2 years (Germany: 2.9 years)
Positions per freelancer
14 (Germany: 11)
Top business areas
Business Intelligence, Information Technology, Product Development
Top industries
Automotive, Information Technology, Professional Services
Certification focus areas
Business Intelligence, Information Technology, Project Management
Bachelor's degree or higher
100% (Germany: 98%)
Master's degree or higher
82% (Germany: 73%)
Certifications per freelancer
4 (Germany: 3)
Most common languages
German, English, French
Speak two or more languages
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 Munich 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 Munich 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.
- Automotive (79%)
- Information Technology (68%)
- Professional Services (63%)
- Manufacturing (58%)
- Banking and Finance (47%)
- Healthcare (47%)
- Aerospace and Defense (37%)
- Energy (37%)
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 used in Microsoft Power BI, Power Pivot and Analysis Services. It calculates measures, columns and tables inside tabular data models. DAX handles business logic such as year-to-date sales, rolling averages, margins, rankings and filter-aware comparisons.
Core Model Skills
Strong DAX work starts with a well-designed semantic model. Experts define relationships, date tables, hierarchies and filter directions before writing formulas. They understand row context, filter context, context transition and evaluation behavior, then keep calculations readable and maintainable as reporting needs grow.
- Create reusable measures for finance, sales and operations
- Resolve ambiguous relationships and filter behavior
- Improve model structure and calculation performance
Ecosystem And Tools
DAX is closely tied to the Microsoft analytics stack. Professionals commonly work with Power BI Desktop and Service, Power Pivot in Excel, Azure Analysis Services and SQL Server Analysis Services. Their workflow may also include Power Query and M for data preparation, Tabular Editor for model management, DAX Studio for query analysis and deployment pipelines for controlled releases.
When Expertise Helps
Companies often bring in freelance DAX expertise when reports produce conflicting figures, models become slow or internal teams need a robust reporting layer quickly. Specialists can review existing measures, translate business definitions into formulas and prepare models for self-service analytics. In Munich, this work often supports manufacturing, finance, insurance, retail and logistics teams, with remote collaboration or on-site workshops depending on the project.
- Audit measures and reconcile reports with source systems
- Build executive dashboards and operational analytics
- Establish naming, testing and documentation standards
What Strong Professionals Deliver
Quality is visible in both the result and the reasoning behind it. Experienced DAX professionals explain why a calculation behaves as it does, test edge cases and separate model logic from presentation needs. They measure performance with realistic workloads, reduce unnecessary formula complexity and document assumptions so other specialists can safely extend the model.
Choosing The Right Specialist
Look for hands-on work with models similar to yours, not only attractive dashboard samples. Ask how the professional approaches data grain, many-to-many relationships, calendar logic, security and slow visuals. Relevant SQL, Power Query, M, Excel, Power BI governance and stakeholder communication skills matter when DAX is part of a wider analytics delivery. Agree on access, review points, documentation and the definition of a trusted result before work begins.
Frequently asked questions
Need clarity? These are the questions we hear most often about DAX.
DAX is used to define calculations in Power BI, Power Pivot and Analysis Services tabular models. Companies use it for measures such as revenue, gross margin, forecasts, period comparisons and rankings that respond to report filters.
DAX calculates values within a tabular semantic model and reacts to filter and row context. SQL is primarily used to retrieve and transform data in a database, so the two languages usually complement each other rather than replace one another.
A strong DAX professional usually understands Power BI modeling, SQL, Power Query and M, data warehousing and dashboard design. Knowledge of Tabular Editor, DAX Studio, row-level security and deployment practices is also useful for larger models.
The right level depends on the model and the business logic, not just its size. DAX work involving simple measures may need focused support, while complex security, calculation groups, many-to-many relationships or performance issues call for a specialist who has handled those patterns in production.
Yes, DAX projects can often be delivered remotely through secure access, shared model files and structured review sessions. On-site workshops in Munich can help when teams need to define metrics, map source data or align German and international stakeholders.
Ask the professional to explain filter context, model relationships and the assumptions behind key measures. High-quality DAX work produces reconciled results, clear naming, documented logic and acceptable performance under realistic report usage.
Slow DAX reports may result from an unsuitable model, high-cardinality columns, inefficient iterators, excessive materialization or poorly designed relationships. A specialist should inspect query plans and storage-engine behavior with tools such as DAX Studio instead of optimizing formulas in isolation.
Excel experience provides a useful foundation, but DAX has different evaluation rules and depends heavily on model context. Professionals moving from Excel need to learn relationships, filter propagation, context transition and the difference between calculated columns and measures.
The average hourly rate of freelancers in Munich, Germany who have used DAX in their recent projects is 108 €, which corresponds to a daily rate of about 863 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used DAX in their recent projects, 100% hold at least a Bachelor's degree and 82% hold at least a Master's degree.
On average, freelancers in Munich, Germany who have used DAX in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Munich, Germany who have used DAX in their recent projects are German (100%), English (95%), and French (37%).
The most common industries among freelancers in Munich, Germany who have used DAX in their recent projects are Automotive (79%), Information Technology (68%), and Professional Services (63%).
The most common business areas among freelancers in Munich, Germany who have used DAX in their recent projects are Business Intelligence (100%), Information Technology (84%), and Product Development (68%).
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 
Cologne 
Frankfurt 
Dusseldorf 
Essen Countries:
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