DAX Experts in Munich
in minutes with vetted specialists and precise AI matching.Hire experts who write reliable DAX measures, build clean Power BI and SSAS models, and tune calculations for fast reports and dashboards. Get matched with vetted, available freelancers who fit your scope quickly and precisely.
Meet FRATCH Experts in Munich, who have recently used DAX
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
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
Suyash Shaha
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 Mishra
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.
Boris Azar
Last position:
Owner and Manager at UBITEQ.io
- Management of digital business
- Design, build and run solutions based on ubiquitous technologies
Dr Dominik Faust
Last position:
Interim COO at Kath. Medienhaus
Key Results & Impact:
- Developed digital business models, designed a corporate newsroom, merged units (supported by PMI), and established a cooperative company culture.
- Kept personnel costs at a constant level, even achieving a slight decrease despite collective wage increases; delivered sustainable cost reductions while increasing revenue.
- Doubled online reach for this segment of Germany’s second-largest employer.
Leadership Qualities:
- Led a span of control of over 70 employees, with 8 direct reports and P&L responsibility of over €6 million.
- Rated as entrepreneurial, strategic, decisive, motivating, and highly effective in change processes.
Bernd Steckenbauer
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 Tavassoli
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.
Katrin Mohr
Last position:
CEO at Digital Hub Cologne GmbH
- Led the company's transformation into a shared service center, supporting PropTech Powerhouse e.V. and consortium partners of the SME Digital Center Rhineland, an initiative by the Federal Ministry of Economics and Climate Protection.
- Directed the core functions of the company, including strategy, finance, and marketing/sales, alongside overseeing critical administrative functions such as legal, IT, and HR.
- Mentored, motivated, and led cross-functional teams toward reaching company goals.
- Developed and executed strategic plans, including AI/digital transformation and new business development initiatives, ensuring sustainable growth and future-proofing the organization.
- Reported financial performance to shareholders through ad hoc analyses, monthly, quarterly, and annual financial statements, while managing budget planning and forecasting processes.
- Managed key partner relationships and expanded strategic partnerships to support the company's growth trajectory.
- Developed and implemented a holistic strategy for recruiting, HR, and IT, aligning with the company's digitalization goals.
- Spearheaded a strategy for the digitalization and optimization of internal processes, adopting lean administration practices to enhance operational efficiency and reduce costs.
Vera Spratte
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.
Karlheinz Weyh
Last position:
Interim Systems Engineering Department Head at Supplier of military power systems
- Leading the Systems Engineering department with over 30 employees in 3 teams
- Providing operational support in defining and implementing SE processes
- Analyzing existing approaches and identifying improvement potentials
- Planning resources and determining additional staffing needs
- Preparing process and role descriptions
- Coordinating collaboration with other departments
- Planning and coordinating employee training (MBSE, RE, DOORS)
- Systematically developing goals and templates to implement efficient requirement-based systems engineering for new development projects
- Building and maintaining model structures in DOORS
- Creating RM plan and user documentation
- Implementing specific approaches with DXL
- Environment and tools: DOORS, Excel, Power BI
Christian West
Last position:
Project Manager for e-Invoice Implementation at Solar Trade
- Managed the project team to roll out an e-invoice solution in more than a dozen countries
- Performed requirements analysis and analyzed the current state (technical, organizational, legal)
- Coordinated with all country subsidiaries
- Selected and implemented the e-invoice tool
- Ensured the project was on time and on budget
Marco Bloch
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
David Huber
Last position:
Consultant for AI Strategy and Digitization at ai-strategy.io
- AI vision development: Match external best practices with analysis of processes, interfaces, stakeholders, data flows, and output KPI, creating a long-term target picture of process automation and AI augmentation
- Curated employee training framework, e.g. for public service foundation: Basics of AI, generative AI applications, evaluation of human judgement and machine control in socially critical applications
- Implemented advanced upskilling courses specialized for product managers: Using AI in innovation, portfolio management, process automation, and marketing to promote novel products and services
- Multiple keynote speaker: AI-driven organizational transformation powered by cultural transformation and forward-looking leadership practices
- Ongoing exchange of expertise and experiences with personal network of leading AI strategists at multinational corporations, e.g., Siemens, Mercedes-Benz, BMW, McDonald’s, Adidas, Linde, Infineon, TÜV Süd, to collect business best practices
- Cooperation with expert leadership networks, e.g. TEC Leadership Institute and PM1 to strengthen impact through increased reach across organizations and industries
Discover over 15,000 top freelancers
Statistics of experts using DAX
Aggregated from the professional profiles of matched freelancers.
Experience
18 years (Germany: 19 years)
Position duration
2.6 years (Germany: 3.3 years)
Positions per freelancer
10
Top business areas
Business Intelligence, Operations, Project Management
Top industries
Professional Services, Automotive, Information Technology
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
100% (Germany: 91%)
Master's degree or higher
86% (Germany: 62%)
Doctorate
14% (Germany: 12%)
Certifications per freelancer
4 (Germany: 3)
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 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 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What DAX does
DAX, short for Data Analysis Expressions, is the formula language used in Power BI, Power Pivot, and Analysis Services tabular models. It helps teams define business logic for reports, KPIs, and analytics that change with filters and time context.
Common work
- Measures for revenue, margin, and pipeline
- Time intelligence for month-to-date and year-over-year views
- Calculated columns and table logic
- Model calculations for tabular reports
Tooling and stack
Strong DAX work sits inside a wider Microsoft analytics stack. Specialists usually work with Power BI Desktop, Tabular Editor, SQL Server Analysis Services, and well-structured Power Query and data models.
They also understand how storage mode, relationships, and filter context shape results. That mix matters when a report looks right at first glance but returns the wrong number under drill-down.
When companies bring help
Teams often call in freelance DAX experts when reports become hard to maintain, calculations are slow, or business rules keep changing. It also helps when a company is moving from Excel logic into Power BI or tabular models and needs cleaner structure.
In Munich, this work often fits reporting for finance, manufacturing, mobility, and other data-heavy teams that need clear, trusted numbers.
What good specialists do
- Write readable measures with clear naming
- Handle filter context and row context correctly
- Reduce slow or duplicated calculations
- Document model logic so others can maintain it
Good specialists explain why a measure works, not just how to make it return a value. They also know when to move logic into the model, when to simplify it, and when the issue is really upstream data quality.
How projects run
DAX projects are often short, focused, and close to the business users. The best results come when the freelancer can work with report owners, data engineers, and analysts on the same model and keep changes testable.
For Munich companies, remote collaboration is common, but on-site sessions can help when the model is complex or the reporting rules need quick alignment.
Frequently asked questions
Need clarity? These are the questions we hear most often about DAX.
DAX is used to define calculations that depend on report filters, relationships, and time context. Companies use it for measures, KPIs, calculated columns, and analytical logic in Power BI, Power Pivot, and tabular models. It is the layer that turns raw model data into business answers.
DAX works on an in-memory model and evaluates results in the context of a report, while SQL queries data in tables and joins. SQL is better for data shaping and extraction, and DAX is better for interactive calculations in Power BI and tabular models. Many strong specialists use both, but they solve different problems.
DAX specialists are the right choice when the challenge is calculation logic, not chart design. Hire one when measures are wrong, time intelligence is complex, totals do not add up, or the model needs cleaner business rules. A general Power BI expert may build the report, but a DAX specialist fixes the logic behind it.
A strong DAX freelancer usually knows data modeling, Power BI, and tabular concepts such as relationships and filter context. SQL and Power Query are also important because bad upstream data often causes bad calculations. For larger models, experience with Analysis Services and Tabular Editor helps a lot.
DAX work varies from small measure fixes to complex model redesign. Simple report logic may need only targeted help, while larger projects need a specialist who can review the model, clean up dependencies, and test the results across pages and slicers. The harder the business rules, the more valuable deep experience becomes.
Yes, DAX work is often done remotely because most tasks happen in the model and the report files. For Munich teams, remote collaboration works well for measure design, troubleshooting, and review cycles. On-site sessions are useful when stakeholders need to align quickly on reporting definitions.
A strong DAX specialist writes measures that are accurate, readable, and maintainable. Look for clear naming, good use of variables, correct filter handling, and the ability to explain why a measure returns the expected result. Good professionals also document their logic and test edge cases, not just the happy path.
No, DAX is not the same as MDX. DAX is the main language for tabular models and Power BI, while MDX is tied more closely to multidimensional Analysis Services. If your team works in modern Microsoft analytics, DAX is usually the language you need.
The average hourly rate of freelancers in Munich, Germany who have used DAX in their recent projects is 127 €, which corresponds to a daily rate of about 1,019 € 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, 86% hold at least a Master's degree, and 14% hold a doctorate.
On average, freelancers in Munich, Germany who have used DAX in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 2.6 years.
The most common languages among freelancers in Munich, Germany who have used DAX in their recent projects are German (100%), English (100%), and French (39%).
The most common industries among freelancers in Munich, Germany who have used DAX in their recent projects are Professional Services (78%), Automotive (65%), and Information Technology (65%).
The most common business areas among freelancers in Munich, Germany who have used DAX in their recent projects are Business Intelligence (74%), Operations (74%), and Project Management (74%).
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.
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