DAX Expert
for trusted Power BI models, matched in minutes with vetted and available freelancersHire experts who write efficient DAX measures, structure Power BI semantic models and improve reporting performance across Power BI, Excel and Analysis Services. FRATCH matches you quickly and precisely with vetted, available freelance professionals.
Meet FRATCH Experts who have recently used DAX
William N.
Last position:
Power BI Solutions Architect/Engineer & AI Consultant at AVERDUNG GmbH
- Redesign of the company's BI infrastructure: replacement of a fragmented landscape of manually maintained Excel solutions and CSV imports with a centralized Power BI environment featuring a unified data model as the company-wide single source of truth
- Consolidation of previously isolated reporting logic into a central semantic model – eliminating redundant files, manual data transfers, and inconsistent metrics between departments
- Forecasting & planning: Design and implementation of company-wide liquidity planning in Power BI – from business logic to a fully automated, data-source-driven planning model replacing the previous manual Excel process; enables rolling forecasts and continuously up-to-date cash flow transparency for management
- Optimization of existing Power BI dashboards in terms of performance, structure, and analytical value using an AI-native approach
- Analysis and improvement of the data model, including data quality analyses, data cleansing, and consistent modeling using star schema, DAX, and Power Query
- Incident & anomaly analysis: Identification, investigation, and explanation of data anomalies, including root-cause analysis and concrete recommendations for action
- AI solution architecture: Connecting Business Central and Power BI to LangDock via MCP (Model Context Protocol) for AI-supported data usage
- Creation of a historical data layer as a basis for trend and time-series analyses
- AI-supported automation: Design and development of AI skills, agents, loops, and processes for the automated analysis and interpretation of reports
- Automated reporting workflow: Setup of scheduled, automated email distribution of AI-generated analyses and recommendations to stakeholders
- Gathering and documentation of business requirements and coordination with business departments and IT as part of requirements engineering / product owner activities
- Breaking down overall requirements into clearly defined work packages and tasks
- Definition, prioritization, and management of milestones throughout the entire project lifecycle
Tools: POWER BI, M365, Copilot Studio, MIRO, Microsoft Business Central, Microsoft Fabric, Claude AI, ChatGPT, LangDock, MS VS Code
Stefan O.
Last position:
Founder at ProtocolEngine.io
Evidence-led health intelligence platform turning published research into personal health protocols. It scores 430 habits, foods, and supplements against the studies behind them, and moves the score when the evidence moves. Built solo.
- Built the daily ingestion pipeline across PubMed, bioRxiv, and medRxiv: 43,000+ papers from 3,400+ journals processed into 230,000+ typed evidence claims, each one traceable back to the study it came from.
- Designed the six-factor evidence scoring model and the public changelog behind it, so no recommendation ever appears without the papers underneath it. 23,000+ grade changes recorded and explained to date.
- Shipped an entity information model connecting every intervention to its mechanisms, biomarkers, and outcomes: 118 biomarkers with region-specific reference ranges, 77 mechanisms, 32 graded outcomes.
- Built the personalisation layer: blood panel ingestion that reads lab PDFs with a vision model and corrects results for draw time against the user's wake anchor, plus Oura, WHOOP, and Withings integration for daily readiness context.
- Operate eleven specialised review agents over the corpus and codebase, covering paper curation, retrieval quality, health-claim compliance across EU and US regimes, and security.
- Shipped the Evidence Assistant, a RAG assistant that answers from the claim database and cites the underlying papers, plus a B2B practitioner tier, an Expo React Native app, and localisation across 3 languages and 7 markets.
Stack: Next.js 16, TypeScript, Supabase, pgvector, Anthropic Claude, Vercel, DeepInfra.
Tobias W.
Last position:
CEO & Fouder at Wittbix
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.
Sarvesh L.
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
Torsten F.
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 customer-defined requirements for existing reporting and new dashboards to be established.
Support for stakeholders in managing sales processes and identifying KPI trends at an early stage.
Use of Microsoft Power BI as the central analysis and reporting platform.
Development of a proposal for the required further development of processes and the Power BI platform.
Documentation of AS-IS business processes and derivation of company-wide KPIs, including coordination with stakeholders.
Analysis and assessment of the customer's Power BI platform.
Analysis of processes and data governance.
Documentation of AS-IS business processes.
Development of recommendations for further developing processes and the reporting platform.
Design and implementation of dashboards in Power BI.
Development of company-wide KPIs and coordination with stakeholders.
Microsoft Power BI.
Data analytics.
KPI definition and reporting.
Dashboard design and data visualization.
Stakeholder management and requirements management.
Asım Y.
Last position:
Freelance BI/DWH/ETL Specialist at Akbank
- Setting architectural standards for Informatica Power Center development teams
- Maintenance-performance-health for DWH (Exadata) environments
- Qlik Sense / BO reports architectural standards
- Implementing best practices in ETL tasks
- Documentation ETL standards on Confluence
- Dynamic Data Masking rules for GDPR/KVKK regulations by using Informatica DDM tool
- DWH Data model Power Designer
- Upgrade Qlik Sense versions
- Merge all Informatica server's repository databases on one Oracle DB
Oleg O.
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 context-based business information.
Development of an AI agent with Function/Tool Calling for the secure orchestration of REST APIs, SQL data sources, and technical services within defined business processes.
Building 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, and 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
Varsha P.
Last position:
Senior Data Analyst at Infosys
Enterprise Analytics Modernization – Germany-based enterprise reporting platform for operations and management analytics, used by 1,000+ internal users across multiple departments.
- Lead end-to-end Power BI and Microsoft Fabric reporting initiatives, delivering scalable dashboards and semantic models supporting daily operational and strategic decisions, achieving 30% faster decision turnaround and 25% reporting efficiency gains.
- Designed unified enterprise datasets using Microsoft Fabric Lakehouse and OneLake, automating historical data processing and reducing manual reporting effort by 40%.
- Built and maintained automated ingestion pipelines using Fabric Dataflows Gen2 and Data Pipelines, improving data refresh reliability to 99.8% uptime and ensuring consistent data quality.
- Implemented enterprise reporting governance, including Row-Level Security (RLS), workspace strategy, deployment pipelines, and documentation, increasing dashboard adoption by 35%.
Technologies used: Power BI, Microsoft Fabric, DAX, Power Query, SQL, Azure Data Fundamentals, Semantic Modeling, RLS, Agile
Daryoosh D.
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 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
Hervé T.
Last position:
Senior Data Engineer at Schweizerische Post AG
Tools: Fabric, AWS, dbt, Power BI, SQL, DWH, R, Python
- Supported customers in implementing an architecture design for extracting and preparing data
- Planned the design and implementation of the BI and DWH platform
- Ensured the scalability and performance of the data platform
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
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
Discover over 15,000 top freelancers
Statistics of experts using DAX
Aggregated from the professional profiles of matched freelancers.
Experience
16 years
Position duration
2.9 years
Positions per freelancer
11
Top business areas
Business Intelligence, Information Technology, Product Development
Top industries
Information Technology, Professional Services, Manufacturing
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
98%
Master's degree or higher
72%
Doctorate
9%
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
95%
Based on our profile pool as of 16 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology 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 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 16 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.
- Information Technology (79%)
- Professional Services (55%)
- Manufacturing (46%)
- Banking and Finance (42%)
- Automotive (36%)
- Healthcare (35%)
- Retail (32%)
- Education (29%)
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 calculations in Power BI, Power Pivot and Analysis Services tabular models. It defines measures, calculated columns and calculated tables that turn structured business data into interactive analysis. Its evaluation context makes filtering, time intelligence and relationships central to every result.
Core capabilities
DAX specialists work across the full analytical model, not just individual formulas. Typical deliverables include:
- Measures for revenue, margin, retention and operational KPIs
- Date tables and time-intelligence calculations
- Filter context and row context corrections
- Calculated tables, columns and reusable calculation groups
- Model checks that prevent misleading totals and inconsistent filters
Ecosystem and tooling
DAX is closely connected to Power BI Desktop, Power BI Service, Excel Power Pivot and Azure Analysis Services. Strong professionals also use Tabular Editor, DAX Studio and VertiPaq Analyzer to inspect query plans, format models, manage metadata and identify storage or formula-engine bottlenecks. SQL, Power Query M and dimensional modeling often sit beside DAX in the same delivery.
When companies need help
Companies usually bring in freelance DAX expertise when a report has grown beyond simple formulas or when users no longer trust its numbers. Specialists can reshape a semantic model, replace slow calculated columns, reconcile measures with source data and prepare governed datasets for self-service reporting. They are also useful during migrations from Excel or legacy tabular models to Power BI.
What strong specialists deliver
Quality is visible in both the result and the model behind it. A strong DAX professional names measures clearly, separates business logic from presentation, handles filter behavior deliberately and explains why a calculation returns its result. They test totals, drill-through paths, inactive relationships and different slicer combinations instead of validating only the default report view.
Collaboration and handover
DAX work can be performed remotely when data access, security rules and business definitions are documented. Effective collaboration includes a clear measure catalogue, sample outputs, source-to-target definitions and review sessions with finance or operational stakeholders. Before handover, the specialist should document assumptions, refresh dependencies, performance findings and the steps needed to extend the model safely.
Frequently asked questions
Everything clients usually want to know about DAX, in one place.
DAX is used to express business calculations in Power BI, Power Pivot and Analysis Services tabular models. Companies use it for measures, calculated columns, calculated tables, time intelligence and filter-aware KPIs in interactive reports.
DAX calculates results inside a semantic model and responds to filter context as users interact with a report. SQL retrieves and shapes data at the source, while Power Query M prepares and transforms data before it enters the model; a strong solution often uses all three deliberately.
A capable DAX specialist should understand dimensional modeling, relationships, cardinality and star schemas. Experience with Power BI, Power Query M, SQL, Tabular Editor and DAX Studio helps connect formulas with ingestion, governance and performance work.
The right DAX experience depends on the model’s complexity, data quality and business risk. Straightforward measures may need focused formula work, while enterprise reporting usually calls for someone who can design the model, validate definitions, tune performance and guide stakeholders.
DAX projects are often suitable for remote collaboration when the professional receives secure access to representative data and clear business definitions. Workshops may still be useful for agreeing KPI logic, reviewing report behavior and resolving differences between source systems and published results.
Review whether DAX measures produce correct results under different filters, date selections, drill paths and relationship states. Also inspect naming, documentation, model structure, refresh behavior and query performance rather than judging a report only by its visual appearance.
DAX measures are generally preferable for values that should respond to report filters and keep the model lean. Calculated columns are evaluated during refresh and can be appropriate for row-level categories or stable attributes, but the choice should account for model size, refresh time and the required behavior.
DAX performance issues can be investigated with DAX Studio, Query View, Tabular Editor and VertiPaq Analyzer. These tools help separate formula-engine work from storage-engine work, inspect query plans, find expensive expressions and identify modeling choices that create unnecessary scans.
The average hourly rate of freelancers who have used DAX in their recent projects is 96 €, which corresponds to a daily rate of about 764 € based on an 8-hour working day.
Of the freelancers who have used DAX in their recent projects, 98% hold at least a Bachelor's degree, 72% hold at least a Master's degree, and 9% hold a doctorate.
On average, freelancers who have used DAX in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 2.9 years.
The most common languages among freelancers who have used DAX in their recent projects are German (99%), English (96%), and French (22%).
The most common industries among freelancers who have used DAX in their recent projects are Information Technology (79%), Professional Services (55%), and Manufacturing (46%).
The most common business areas among freelancers who have used DAX in their recent projects are Business Intelligence (98%), Information Technology (90%), and Product Development (59%).
Main locations of FRATCH Experts, who have recently used DAX
Our freelancers and interim experts are at home all over Germany — available on-site in Berlin, Hamburg, Munich and every major business hub, or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.
Berlin 
Munich 
Cologne 
Frankfurt 
Dusseldorf 
Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg In Austria our freelancers and interim experts support companies from Vienna to Graz — on-site where your project needs them, or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.
Vienna Graz Across Switzerland our specialists are active in Zurich, Geneva, Basel and Bern — working on-site or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.
Zurich Geneva Basel Bern Countries:
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