DAX Experts in Munich
for trusted Power BI models, matched in minutes with vetted and available freelancersHire experts who create reliable semantic models, write efficient measures and connect DAX with Power BI, Analysis Services and Excel. Get precise access to vetted, available freelancers matched to your requirements without a lengthy search.
Meet FRATCH Experts in Munich, who have recently used DAX
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
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
Suyash S.
Last position:
Data Analyst - Reporting & Analytics at SIXT SE
- Developed & maintained customer analytical reporting solutions to identify revenue trends, performance drivers, risks & optimization opportunities to ensure data driven decision making across Sales, Finance, Product, Data Engineering & Controlling.
- Defined & analyzed customer trends & performance metrics to identify root causes behind variances, anomalies & emerging risks across business domains to deliver actionable recommendations.
- Developed & owned analytical data models & reporting layers to ensure scalability, performance & analytical robustness to support executive & operational reporting across business domains.
- Planned, tracked & executed projects by ensuring adherence to timelines, data accuracy, consistency, deliverables, reliability & data quality standards through rigorous validation & reconciliation processes.
- Raised the analytical maturity by formalizing analytical workflows, documenting data processes & standard operating procedures (SOPs) & conducting training sessions to drive adoption of self-service analytics & embed a data driven culture across operational and business teams.
- Took ownership of the end-to-end lifecycle roadmap from requirement gathering, collection, transformation, developing robust business logics to data storytelling & stakeholder delivery.
- Converted complexity into structured clarity by translating requirements & business processes into analytical recommendations to ensure alignment between non-technical & technical stakeholders.
- Conducted advanced SQL based analysis of complex business datasets to uncover trends, correlations & performance improvement opportunities.
- Drove process automation & efficiency improvements by leveraging Python, SQL optimization & AI assisted tools to reduce processing time & increase reliability across analytical & operational workflows.
- Standardized KPI definitions & reporting logic to ensure consistency & trust across reporting solutions.
- Developed process monitoring dashboards & analyses to identify inefficiencies, bottlenecks & compliance deviations across end-to-end business processes to derive actionable recommendations for process improvement & automation.
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.
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
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.
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.
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.
Simon S.
Last position:
CEO and Co-Founder at DISO Ventures
- Set up DISO Ventures as an “AI Builder”, leveraging corporate venture building expertise and generative AI capabilities.
- Business development, acquisition, and project management with multiple clients as well as key account & senior stakeholder management.
- Delivered several projects from German Mittelstand up to DAX 40.
- Developed proof of concept for an AI sales solution for a company in the pharmaceutical industry.
- Excerpt client references: on request.
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.
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
2.1 years (Germany: 2.9 years)
Positions per freelancer
14 (Germany: 12)
Top business areas
Business Intelligence, Information Technology, Operations
Top industries
Automotive, Professional Services, Information Technology
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
100% (Germany: 97%)
Master's degree or higher
81% (Germany: 71%)
Certifications per freelancer
4 (Germany: 3)
Most common languages
German, English, French
Speak two or more languages
94% (Germany: 96%)
Based on our profile pool as of 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Munich 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 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 19 Sep 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 (78%)
- Professional Services (72%)
- Information Technology (67%)
- Manufacturing (67%)
- Banking and Finance (50%)
- Healthcare (50%)
- Aerospace and Defense (39%)
- Chemical (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What DAX does
DAX, or Data Analysis Expressions, is the formula language behind interactive business intelligence in Power BI, Power Pivot and SQL Server Analysis Services. It defines calculated columns, measures and tables that turn structured data into reusable business logic. Unlike basic spreadsheet formulas, DAX evaluates results through filter and row context.
Where it is used
Companies use DAX to build reporting models that answer operational and financial questions across departments. Common deliverables include:
- Power BI semantic models with reusable measures
- Executive dashboards and self-service reports
- Time-intelligence calculations for budgets and forecasts
- Power Pivot workbooks for controlled Excel reporting
- Tabular models in Analysis Services
These models support revenue analysis, supply chain reporting, workforce planning, sales performance and other recurring business processes.
Ecosystem and tooling
Strong DAX work depends on the surrounding Microsoft data stack. Specialists often combine Power BI Desktop and Service with Power Query, Tabular Editor, DAX Studio and SQL Server Analysis Services. They also work with SQL, dimensional modelling, data gateways, row-level security and deployment workflows. Understanding relationships, storage modes and refresh behaviour is essential for dependable results.
When companies need specialists
External expertise is useful when a model has grown difficult to maintain or reports return inconsistent figures. Typical signals include slow visuals, duplicated measures, unclear filter behaviour, broken time comparisons and refresh failures. Munich companies may also bring in a specialist when finance, manufacturing or commercial teams need a shared reporting model, with remote delivery supported by clear documentation and regular workshops.
What good work looks like
A capable DAX professional starts with the business definition of each metric and tests it against realistic filter combinations. They keep measures readable, use variables appropriately and distinguish model problems from formula problems. They inspect query plans and storage behaviour with tools such as DAX Studio instead of relying only on trial and error. Documentation, naming conventions and validation checks make the result easier to govern.
Choosing the right expertise
Look for professionals who can explain context transition, relationship direction and evaluation order in practical terms. They should show how they improved a tabular model, reconciled figures with source systems and protected sensitive data through permissions. Experience with stakeholder workshops matters as much as formula knowledge, especially when a DAX solution must serve both advanced users and occasional report readers. German and English communication can be relevant for teams working in Munich and across international operations.
Frequently asked questions
Need clarity? These are the questions we hear most often about DAX.
DAX is used to create measures, calculated columns and calculated tables in Power BI, Power Pivot and Analysis Services. It supports business logic such as period comparisons, running totals, ratios, rankings and context-sensitive aggregations.
Data Analysis Expressions works inside a tabular model and evaluates formulas through filter context, row context and relationships. SQL is mainly used to retrieve and shape source data, while ordinary Excel formulas usually operate within a worksheet grid rather than a reusable semantic model.
A strong DAX freelancer should understand dimensional modelling, SQL, Power Query and Power BI visual design. Knowledge of Tabular Editor, DAX Studio, refresh management, row-level security and Microsoft data gateways is also valuable.
The required background depends on the model’s size, data quality and governance needs. For a simple reporting layer, practical experience with measures and relationships may be enough; complex Analysis Services models require proven work with performance tuning, calculation logic and deployment controls.
DAX work is often suitable for remote collaboration because models, requirements and test cases can be reviewed online. On-site workshops in Munich can still help when teams need to define metrics together, resolve conflicting business rules or introduce a new reporting process.
Ask the specialist to explain how a measure behaves under different filters and how its result was reconciled with source data. Good DAX work includes clear naming, sensible model relationships, documented assumptions and evidence that performance was checked with appropriate tooling.
DAX is well suited to calculations that must respond dynamically to report filters and user selections. Logic that standardises raw data, joins large source sets or serves many downstream systems may belong in SQL or the warehouse instead, so the boundary should be agreed during modelling.
DAX is closely associated with Power BI, but it is also used in Power Pivot for Excel and tabular models in SQL Server Analysis Services. The same language concepts apply across these products, although available features, deployment options and governance controls can differ.
The average hourly rate of freelancers in Munich, Germany who have used DAX in their recent projects is 110 €, which corresponds to a daily rate of about 881 € 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 81% 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 2.1 years.
The most common languages among freelancers in Munich, Germany who have used DAX in their recent projects are German (100%), English (94%), and French (33%).
The most common industries among freelancers in Munich, Germany who have used DAX in their recent projects are Automotive (78%), Professional Services (72%), and Information Technology (67%).
The most common business areas among freelancers in Munich, Germany who have used DAX in their recent projects are Business Intelligence (100%), Information Technology (83%), and Operations (72%).
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 
Hamburg 
Cologne 
Frankfurt 
Dusseldorf Request a free demo
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Philipp Thomaschewski
FRATCH CEO
