
DAX Experts in Dusseldorf
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Meet FRATCH Experts in Dusseldorf, who have recently used DAX
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
Archana R.
Last position:
Power BI Assistant at Cataliquent Projekt GmbH
- Evaluate, design, and implement Power BI solutions for Cat4 reporting, significantly improving reporting efficiency, accuracy, and stakeholder visibility.
- Develop and maintain robust data integration interfaces between Cat4 and Power BI, eliminating manual processing bottlenecks.
- Configure and continuously optimise Power BI reports to deliver sharper management insights and support data-driven decision-making.
- Ensure full GDPR data protection compliance across Power BI reports, proactively identifying and mitigating risks.
- Acquired in-depth product knowledge of CAT4, a globally deployed enterprise platform, enabling effective requirements analysis, solution design, and seamless Power BI integration across client environments.
- Developed and integrated scalable reporting templates within the CAT4 product interface, delivering new product features and enhancing data visualisation, reporting efficiency, and stakeholder visibility across global users.
- Trained and mentored staff on Power BI configuration and best practices, accelerating adoption and embedding a data-driven culture.
- Prepared clear technical documentation and delivered hands-on demonstrations to end users and clients, ensuring smooth adoption and confident use of Power BI solutions integrated with CAT4.
- Researched and recommended licensing strategies for cost-effective and scalable Power BI deployment.
SKILLS - BI & Visualisation: Power BI (Desktop, Service, Report Builder), DAX, Power Query
Project and Product Management Tool: CAT4
Ehsan M.
Last position:
BI Developer at Telecommunications Infrastructure
- Gather and analyze requirements in close collaboration with business units to develop data-driven solutions and scalable PowerBI reporting infrastructures.
- Perform detailed debugging and optimize existing semantic and data models to ensure a robust data architecture, high data quality, and improved PowerBI reporting.
- Design and implement scalable ETL processes for data preparation and integration.
- Create a wiki for table and view descriptions as well as PowerBI PowerQuery and KPI documentation to ensure a consistent understanding of data structures and metrics.
Olga M.
Last position:
External IT Consultant BI and DWH at Telefónica Deutschland
- Implement the BI solution and replace the old BI landscape
- Sub-project lead for Sales Bonus Plan: Extend the existing solution and migrate to Azure
- Sub-project lead for Cognos migration: Expand the existing data warehouse based on MS technologies
- Analyze business requirements and create the technical solution
- Expand the relational DWH database
- Develop the ETL processes (SSIS)
- Develop the multidimensional database (OLAP cubes/SSAS)
- Use of MS SQL Server 2016 (SSMS, SSIS, SSAS, SSRS), MS SQL Server PDW, Oracle, Power BI, Delta Lake, Databricks, Synapse
Mohamed A.
Last position:
Full Stack Data Professional (Freelance) BI Expert Data Engineer BI Strategy at Alpha Calcit GmbH
- Harmonized multi-entity data models
- Unified, governed Power BI reporting
- Implemented Microsoft Fabric, Tableau, Excel, T-SQL, Teradata, R, Python and Qliksense
Ronny H.
Last position:
Förderbank Deutschland
- Extraction and transformation of relevant data from the SAP system developed for the bank and consolidation into the existing reporting environment
- Integration of the data into the existing BI model (extending the star schema to a galaxy schema) for generating the funding committee report and the business development report
- Ensuring data quality
- Knowledge transfer to department staff (SAP, SQL database, Power Pivot, DAX)
Discover over 15,000 top freelancers
Statistics of experts using DAX
Aggregated from the professional profiles of matched freelancers.
Experience
13 years (Germany: 16 years)

Position duration
2 years (Germany: 2.9 years)

Positions per freelancer
9 (Germany: 12)

Top business areas
Business Intelligence, Information Technology, Finance

Top industries
Information Technology, Professional Services, Energy

Certification focus areas
Business Intelligence, Information Technology, Product Development
Bachelor's degree or higher
100% (Germany: 97%)
Master's degree or higher
60% (Germany: 71%)

Certifications per freelancer
2 (Germany: 3)

Most common languages
German, English, Arabic

Speak two or more languages
100% (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 Dusseldorf 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 Dusseldorf 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.
- Information Technology (67%)
- Professional Services (67%)
- Energy (50%)
- Banking and Finance (50%)
- Retail (50%)
- Telecommunication (50%)
- Real Estate (33%)
- Automotive (17%)
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 Power BI, Power Pivot, and Analysis Services tabular models. It helps specialists turn raw tables into measures, calculations, and business logic that decision-makers can read quickly.
Typical work
- Create measures for sales, margin, and KPI reporting
- Build time-intelligence logic for month, quarter, and year views
- Shape calculations for Power BI dashboards and semantic models
- Refine formulas that support self-service reporting
Where it fits
DAX is common in Microsoft analytics stacks where clean models matter more than heavy code. Teams use it with Power BI, Excel data models, and tabular models in SQL Server Analysis Services or Azure Analysis Services.
Strong skills
A strong DAX specialist understands filter context, row context, relationships, and evaluation order. They write measures that stay readable, avoid fragile workarounds, and know when a model change is better than a more complex formula.
When to bring help
Companies usually bring in freelance DAX expertise when reports return inconsistent numbers, models become slow, or business rules are spread across too many formulas. It also helps when a team is moving from Excel logic into Power BI or needs to standardize calculations across many reports.
Dusseldorf teams
In Dusseldorf, DAX work often supports finance, sales, operations, and reporting teams that rely on Microsoft tools. Freelancers can work remotely or on-site, and local collaboration is especially useful when business users want close feedback on metrics, naming, and report logic.
Frequently asked questions
Everything clients usually want to know about DAX, in one place.
DAX is used to create calculations in Power BI, Power Pivot, and tabular models. It powers measures, KPIs, and time-based reporting that respond to filters and user interaction. Companies bring in specialists when they need business logic that is precise and repeatable across reports.
DAX can feel familiar to Excel users, but it behaves differently because it works against a data model instead of single cells. Excel formulas are often better for worksheet logic, while DAX is built for relational analytics and report-level calculations. A good specialist knows when to move logic into the model instead of forcing it into a visual.
A strong DAX specialist should also understand data modeling, relationships, star schemas, and Power BI report design. Knowledge of SQL helps with source data checks, and familiarity with business reporting makes measures more useful. Good communication matters too, because many problems are really about business rules, not syntax.
A DAX project can be small, such as fixing a few measures, or broad, such as redesigning a model with many business rules. For simple reporting tasks, a focused specialist may be enough. For complex semantic models or performance problems, companies usually need someone who has worked through filter context and optimization issues before.
Bring in DAX help when your numbers do not reconcile, report refreshes feel slow, or your team is stuck translating Excel logic into Power BI. Freelancers are also useful for short-term model reviews, dashboard cleanup, and formula audits. They can step in without a long internal hiring cycle.
Yes, DAX work is often handled remotely because most tasks live in the model and the reports. For teams in Dusseldorf, remote collaboration works well when requirements are clear and data access is organized. On-site sessions can help when business users need to align on metrics, naming, or reporting rules.
DAX is for calculations after data is loaded into the model, while Power Query is for shaping and transforming data before it gets there. They solve different problems, and strong specialists know when to use each one. If the issue is a calculation, DAX is usually the right place; if the issue is data cleanup, Power Query is often better.
Look for someone who explains the reasoning behind a measure, not just the final formula. A solid DAX freelancer writes readable expressions, checks edge cases, and can show why a calculation works under different filters. Quality also shows up in model hygiene: clear naming, fewer hacks, and formulas that other specialists can maintain.
The average hourly rate of freelancers in Dusseldorf, Germany who have used DAX in their recent projects is 103 €, which corresponds to a daily rate of about 822 € based on an 8-hour working day.
Of the freelancers in Dusseldorf, Germany who have used DAX in their recent projects, 100% hold at least a Bachelor's degree and 60% hold at least a Master's degree.
On average, freelancers in Dusseldorf, Germany who have used DAX in their recent projects have 13 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Dusseldorf, Germany who have used DAX in their recent projects are German (100%), English (100%), and Arabic (17%).
The most common industries among freelancers in Dusseldorf, Germany who have used DAX in their recent projects are Information Technology (67%), Professional Services (67%), and Energy (50%).
The most common business areas among freelancers in Dusseldorf, Germany who have used DAX in their recent projects are Business Intelligence (100%), Information Technology (100%), and Finance (50%).
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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