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DAX Experts in Switzerland

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Hire experts who create robust Power BI semantic models, write efficient Data Analysis Expressions and connect reporting to trusted business data. FRATCH matches you quickly and precisely with vetted, available freelancers who fit your requirements.

Meet FRATCH Experts in Switzerland, who have recently used DAX

Verified expert

Paulo M.

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Power BI & Microsoft Fabric Specialist | AI & Copilot | SAP BI

Zürich
Paulo M.

Last position:

Power BI / Fabric & SAP BI Consultant at Financial Bank

  • Developed Power BI semantic models, DAX and RLS, improving reporting performance and security.
  • Designed Fabric Lakehouse with Medallion Architecture (Bronze/Silver/Gold), accelerating data processing and improving maintainability and scalability.
  • Built Fabric Data Factory pipelines and PySpark transformations, reducing processing time by 40%.
  • Delivered automated Power BI KPI dashboards, accelerating reporting and decision-making.
  • Supported SAP BO 4.3 → 2025 migration across 2,000+ Webl reports and 34 universes, reducing testing effort by 35% and improving migration quality and reliability.
  • Optimized UNX universes, reducing query execution time by 40%.
  • Optimized SAP BO reporting solutions, improving reliability and reducing manual effort.

Environment: Power BI, Microsoft Fabric (Lakehouse, Warehouse, Pipelines, PySpark), Tabular Editor, DAX Studio, SAP BI (BO 4.3/2025, Webl, UNX Universes), 360Suite, InfoBurst, GitHub, JIRA.

Verified expert

Charles S.

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Data & Analytics Product Manager | AI-Augmented Data Products | Executive BI Delivery | Financial Services

Zürich
Charles S.

Last position:

Data Delivery Lead at Westpac

  • Owned and managed the product roadmap and backlog for the Consumer Banker reporting framework, prioritising features and driving iterative delivery of banker scorecards and network performance reporting in an agile environment.
  • Developed and iterated portfolio financial reporting on a weekly cadence based on stakeholder feedback, replacing manual PowerPoint packs and saving the program hours of effort weekly.
  • Integrated Generative AI (MS Copilot) to automate data lineage documentation across a large legacy codebase, eliminating est. 6 months of analyst effort and accelerating data governance outcomes.
  • Led a unified data delivery approach and standards across five UNITE initiatives (~CHF 115m portfolio) supporting consolidation of legacy systems into the Digital Banker platform.
  • Led cross-functional delivery team of 3 while also drawing on BA and DA talent pools, coordinating analytical resource across workstreams to accelerate data, reporting & governance outcomes.
Verified expert

Markus M.

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Data Analytics, Project Management and IT Requirements Engineering

Weesen
Markus M.

Last position:

Manager Underwriting & Actuarial Services at Ativa Pensionskassen Management AG

Ativa is the management company of Sammelstiftung Vita (Zurich Insurance’s occupational pension fund) and is responsible for around CHF 22 billion in assets.

  • Created interactive Power BI dashboards and reporting solutions for senior management
  • Implemented an underwriting tool based on Power BI (DAX)
  • Built a cloud-based MS Azure SQL database and documented it
  • Underwrote pension risks, including making decisions on acceptance, rejection and terms
Verified expert

Malik O.

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QA Lead for Single Use Project and QA-SME for Clean Rooms (site wide)

Basel
Malik O.

Last position:

AI Scientist at SQPS

  • Intelligent Document Processing Engine with OCR & Computer Vision: Architected the end-to-end AI pipeline at the core of the SQPS GenAI document-processing product, which turns scanned paper and PDF batches into organised, searchable documents, combining image pre-processing, OCR and layout analysis for mixed-quality scans. Technologies: Python, OpenCV, Tesseract / PaddleOCR, PyTorch, FastAPI
  • Automatic Document Splitting & Classification: Developed models that detect where one document ends and the next begins inside a single multi-document scan, and classify each one by type (invoices, contracts, letters, reports) to enable fully automated filing. Technologies: Python, PyTorch, scikit-learn, Hugging Face Transformers
  • Information Extraction & Intelligent File Naming with LLMs: Implemented an LLM-based GenAI extraction system that reads dates, names and reference numbers from unstructured documents and uses them to generate consistent, rule-based file names, with configurable naming conventions per organisation. Technologies: Python, LangChain, OpenAI, SentenceTransformers, SQL

Discover over 15,000 top freelancers

Statistics of experts using DAX

Aggregated from the professional profiles of matched freelancers.

Experience

17 years

DAX experts in Switzerland have 17 years of professional experience on average.

Position duration

1.7 years

DAX experts in Switzerland stay in a single position for 1.7 years on average.

Positions per freelancer

14

DAX experts in Switzerland have completed 14 positions on average over the course of their careers.

Top business areas

Business Intelligence, Information Technology, Project Management

DAX experts in Switzerland have gathered most of their hands-on project experience in Business Intelligence, Information Technology, and Project Management.

Top industries

Banking and Finance, Healthcare, Information Technology

DAX experts in Switzerland are most in demand in Banking and Finance, Healthcare, and Information Technology.

Certification focus areas

Business Intelligence, Information Technology, Project Management

DAX experts in Switzerland earn their certifications most often in Business Intelligence, Information Technology, and Project Management.

Bachelor's degree or higher

100%

100% of DAX experts in Switzerland hold at least a Bachelor's degree.

Master's degree or higher

60%

60% of DAX experts in Switzerland hold at least a Master's degree.

Doctorate

20%

20% of DAX experts in Switzerland have a doctorate (PhD).

Certifications per freelancer

8

DAX experts in Switzerland hold 8 professional certifications on average.

Most common languages

German, English, French

DAX experts in Switzerland most often speak German, English, and French.

Speak two or more languages

100%

100% of DAX experts in Switzerland speak two or more languages.

Based on our profile pool as of 29 Oct 2026.

Daily rate distribution

0% 25% 50% 75% 100%
25% of DAX experts in Switzerland charge less than €760 per day.
25% of DAX experts in Switzerland charge between €760 and €800 per day.
25% of DAX experts in Switzerland charge between €840 and €880 per day.
25% of DAX experts in Switzerland charge €920 or more per day.
<€760 €760-​800 €840-​880 €920+

The chart shows how the daily rates of experts in this technology in Switzerland 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 Switzerland using DAX

Rates are based on recent contracts and do not include FRATCH margin.

1000
750
500
250
Rate comparison chart
Daily rate avg. 819 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

1000
750
500
250
Rate comparison chart
Median rate 800 €

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.

  • Banking and Finance (67%)
  • Healthcare (67%)
  • Information Technology (67%)
  • Education (50%)
  • Insurance (50%)
  • Manufacturing (50%)
  • Food and Beverage (33%)
  • Transportation (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 used for calculations in Power BI, Power Pivot and SQL Server Analysis Services tabular models. It turns structured business data into measures, calculated columns and tables for interactive analysis. Companies use it to define revenue, margin, inventory, finance and operational metrics with consistent business logic.

Core model skills

Strong DAX work starts with a well-designed semantic model. Specialists shape star schemas, configure relationships, select filter and storage behavior, and separate reusable measures from one-off calculations. They understand row context, filter context, context transition and evaluation order rather than treating formulas as isolated spreadsheet expressions.

  • Design reusable measures and calculation groups
  • Resolve relationship, filter and granularity issues
  • Translate business definitions into tested calculations
  • Improve model usability for report authors

Tools and ecosystem

DAX is closely tied to Power BI Desktop, Power BI Service, Power Pivot and Analysis Services tabular models. Professionals often use Tabular Editor, DAX Studio and Performance Analyzer to inspect metadata, test queries and trace slow measures. Power Query and M are adjacent skills for data preparation, while SQL, Fabric and Azure services often support the wider analytics solution.

When companies need help

Freelance expertise is valuable when reports disagree, models have grown difficult to maintain or dashboards respond slowly. It also helps during a migration from Excel or Power Pivot to Power BI, a redesign of a tabular model or the rollout of governed self-service reporting. In Switzerland, remote delivery can work well when requirements, data access and stakeholder communication are clearly organized; some teams still need on-site workshops.

  • Standardize measures across departments
  • Diagnose incorrect totals and unexpected filter behavior
  • Tune slow reports and inefficient queries
  • Prepare models for finance, sales or operations reporting

What strong specialists deliver

The best professionals combine DAX fluency with data modeling, requirements analysis and clear documentation. They validate measures against source data, test edge cases and explain results in language that business users can check. They also distinguish a DAX issue from a relationship, refresh, security or data-quality issue instead of masking the underlying cause.

Choosing the right expert

Assess candidates through a real model problem, not formula vocabulary alone. Ask how they would investigate a wrong total, handle inactive relationships, manage calculation logic and measure performance. Look for experience with your data sources, governance needs and reporting audience, plus a working style that supports collaboration with analysts, data teams and business owners.

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Frequently asked questions

What clients ask us most about DAX — answered in short.

DAX is used to define measures, calculated columns and calculated tables in Power BI, Power Pivot and Analysis Services tabular models. It supports metrics such as revenue, margin, growth, inventory and forecasts while responding to report filters and user selections.

Data Analysis Expressions works inside a tabular semantic model and evaluates calculations through row context, filter context and relationships. SQL is mainly used to retrieve and transform data, while Excel formulas usually operate over worksheet cells; DAX is designed for interactive analytical models.

A strong DAX specialist should understand dimensional modeling, Power BI, Power Query and SQL. Knowledge of Tabular Editor, DAX Studio, Analysis Services, data refresh and row-level security is also useful when the work covers a complete reporting environment.

The right DAX experience depends on the model’s complexity, data quality and governance needs. Simple measure work may need focused formula skills, while enterprise reporting usually calls for someone who can design models, troubleshoot performance and align metrics with finance or operational definitions.

DAX projects are often suitable for remote collaboration because models, requirements and test results can be reviewed digitally. On-site sessions can still help with workshops, stakeholder alignment or sensitive data access, and clear documentation is especially important across distributed teams.

Review whether DAX measures return correct results at different levels of detail, under varied filters and across edge cases. A quality specialist should also explain the model design, document assumptions, use performance tools and avoid hiding data or relationship problems inside complex formulas.

DAX is a good fit for business calculations that must react dynamically to report context, such as period comparisons, rankings and filtered ratios. SQL remains preferable for heavy data preparation, source-system transformations and logic that should be materialized before data reaches the semantic model.

The hardest DAX assignments usually involve ambiguous metric definitions, weak relationships, mixed granularity or slow models rather than a single complex formula. Specialists need access to representative data, clear acceptance criteria and enough context to distinguish calculation issues from problems in Power BI, Power Query or the source systems.

The average hourly rate of freelancers in Switzerland who have used DAX in their recent projects is 102 €, which corresponds to a daily rate of about 819 € based on an 8-hour working day.

Of the freelancers in Switzerland who have used DAX in their recent projects, 100% hold at least a Bachelor's degree, 60% hold at least a Master's degree, and 20% hold a doctorate.

On average, freelancers in Switzerland who have used DAX in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 1.7 years.

The most common languages among freelancers in Switzerland who have used DAX in their recent projects are German (100%), English (100%), and French (50%).

The most common industries among freelancers in Switzerland who have used DAX in their recent projects are Banking and Finance (67%), Healthcare (67%), and Information Technology (67%).

The most common business areas among freelancers in Switzerland who have used DAX in their recent projects are Business Intelligence (100%), Information Technology (100%), and Project Management (83%).

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.

Countries:

Zurich Geneva Basel Bern

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Philipp Thomaschewski

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