
SQL Server Analysis Services Experts in Frankfurt
— matched in minutes from over 15,000 CVsHire experts who design tabular and multidimensional models, tune DAX and MDX, and connect SSAS to Microsoft data platforms. FRATCH matches you quickly and precisely with vetted, available freelancers.
Meet FRATCH Experts in Frankfurt, who have recently used SQL Server Analysis Services
Umut G.
Last position:
Data Architect at BA Technology
I am an experienced data engineer specializing in end‑to‑end data integration, cloud DWH architectures, and high‑quality, governed data products.
I delivered following projects and engagements as a freelancer.
- Data Migration of CRM System for AL-FA Objekt Service Gmbh
- Microsoft Software Resales Partnership
I am looking for freelance roles like: Freelance Data Engineer Cloud Data Warehouse Architect Data Modeling & Architecture Consultant MDM & Data Governance Specialist BI & Analytics Developer
Technical Focus Areas
- Data Engineering & Integration: SQL Server/SSIS, Informatica PowerCenter/IDQ, Talend, Kafka, Azure Data Factory – Delta/CDC/ELT patterns, robust pipelines, monitoring/recovery, data lineage & impact analysis, medallion architecture Bronze/Silver/Gold layers
- DWH & Cloud: Azure SQL / Data Lake / Synapse, AWS Redshift/S3, on‑prem SQL/Oracle – scalable data marts with a strong cost/benefit focus.
- Data Modeling: Atomic (Inmon) and Dimensional (Kimball), Data Vault (Linstedt), Domain‑Driven Design, clear lineage & contracts.
- MDM & Governance: Informatica MDM, IBM MDM, stewardship processes, data quality rules, survivorship/XREF, catalog/glossary, SIF/BES/REST publication.
- Analytics/BI: Power BI, SSAS, Cognos – business‑ready, maintainable data products.
Monika T.
Last position:
Senior ETL Lead at Takeda GmbH
- Led design, development, and deployment of data solutions supporting a major pharma acquisition for Takeda Pharmaceutical Company, delivering transparency reporting systems across Azure,Databricks (Python and Shell Scripting) platforms.
- Owned,Designed and developed scalable ELT pipelines to process Customer and Product data using Azure, complex SQL, Databricks, and shell scripting, enabling efficient data integration and processing across multiple sources including job orchestration and workflow automation.
- Implemented performance optimization techniques (query tuning, parallelism, workload optimization), improving system efficiency and processing time.
- Applied strong analytical and problem-solving skills to assess technical solutions and support business requirements for compliance and transparency reporting.
- Designed scalable data foundations suitable for downstream analytics and AI workloads.
- Led data quality initiatives by assessing multiple source data, defining quality metrics, and establishing processes for monitoring and continuous improvement.
Vincent R.
Last position:
Freelancer at VINROTLAB.IO
- Consulting and creation of various web applications based on SharePoint and the React framework for different clients
- Development and testing of accessible apps for SharePoint
- Creation of various test cases for test automation
- Development of various solutions based on Azure
- Creation of various web services based on .NET
- Development of various SharePoint Framework solutions
- Development of various UI solutions based on SharePoint
- Consulting and creation of various Power Apps applications and Power Automate for the steel industry and an IT consulting company
- Support, consulting, and development with offshore teams for SharePoint 2013, 2016, and microservices for a logistics company
- Consulting, concept design, and development of microservices and web applications based on Microsoft technology and the React framework for a logistics company
- Consulting, concept design, and development of various SharePoint Framework solutions on SharePoint 2016 for logistics
- Consulting for the migration from SharePoint 2010 to 2016 for an IT consulting company
Ulm P.
Last position:
DataStage ETL Expert at ING Bank
- Datastage 11.7, dbt, Oracle 19, Python 3.12 / PySpark 3.5, Azure GitHub, Azure DevOps, Automic
- Development of migration jobs to transfer data from the collection DWH to the new Risk Mart, as well as development of ETL pipelines to migrate historical data from the old Mart to the new Risk Mart.
- Storage of the silver layer on Hadoop and the gold layer in Oracle.
- Translation of DataStage jobs into dbt to publish reporting data in Google Cloud to a PostgreSQL database.
- Creation and optimization of complex SQL queries for data extraction from a data vault, taking into account historical data in the point-in-time tables.
- Creation of Oracle table definitions (DDL) and adjustment of existing stored procedures.
- Versioning changes in GitHub and deployment via the CI/CD portal.
- Refactoring long-running DataStage jobs into Python using PySpark to reduce server load.
- Migration of SAS scripts to PL/SQL, including new development of distribution functions that have no direct equivalent in Oracle.
- Development of Automic jobs to run DataStage pipelines and Python scripts (PySpark jobs) that control the population of the SME and institutional risk tables in the Risk Mart and perform business calculations.
- Participation in the agile process, including creating user stories, estimations, and planning in Azure DevOps.
- Handling Azure DevOps tickets and close collaboration with testers and business teams for error analysis and resolution.
Ashkan Z.
Last position:
Microsoft Azure Senior Data Engineer / Senior Data Scientist at Vattenfall Europe
- Advising on the use of analytics and BI tools and services in the Microsoft Azure stack (e.g. MS Fabric, Synapse Workspaces and dedicated SQL pools, SQL Database, PostgreSQL, Snowflake, Databricks, Data Factory, SSIS, Analysis Services, Function Apps, Power BI, ML)
- Independently designing analytics solutions with Python, SQL, etc.
- Designing and implementing ETLs and data pipelines
- Creating and maintaining APIs
- Independently applying CI/CD, testing, and version control
- Data modeling
- Model development and optimization
- Anomaly detection with AI
- Predictive analytics
Used technologies:
- Snowflake
- Fabric
- Azure Synapse Analytics
- Azure DataFactory
- Azure Data Lake
- Azure DevOps
- Databricks
- Spark
- CI/CD
- SQL Database
- Python
- Power Platform
Petru K.
Last position:
Architect & Technical Team Lead & Senior Developer at Goetel GmbH
- Design, architecture & development/programming of ETL/ELT data pipelines, DWH, BI solution
- Technical project lead, POC – proof-of-concept creation
- Liaison between business units and technical teams
- Azure DevOps Boards & Jira
- Data modeling & data engineering – data warehouse & data mart
- Azure (Data Factory, Azure SQL, Azure DevOps CI/CD, Azure Data Lake V2, Business Central REST API, OData API, OAuth2 tokens)
- SharePoint lists & API for ADF, Firebird DB, Postgres DB, DB2
- Power BI (Power Query), DAX, Excel PBI add-on, GIS data
- Automated ETL process monitoring/logging, performance monitoring, error monitoring – capturing & resolution
- Index performance tuning & statistics monitoring, Transact-SQL
- Data security – MFA (multi-factor authentication) & OAuth2, MS Graph, Azure networks & firewalls, gateways, roles, user groups – with read/write permissions
- Sources – Vario Bill, Camunda, Radius, Geo Database, OTRS, PAST, MS Dynamics Business Central, Azure Blob Data Lake, SharePoint lists
Discover over 15,000 top freelancers
Statistics of experts using SQL Server Analysis Services
Aggregated from the professional profiles of matched freelancers.
Experience
22 years

Position duration
2.8 years

Positions per freelancer
15

Top business areas
Business Intelligence, Information Technology, Project Management

Top industries
Information Technology, Energy, Banking and Finance

Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
83%
Master's degree or higher
33%
Doctorate
17%

Certifications per freelancer
6

Most common languages
German, English, French

Speak two or more languages
100%
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Frankfurt 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 Frankfurt using SQL Server Analysis Services
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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
SQL Server Analysis Services 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 (100%)
- Energy (67%)
- Banking and Finance (67%)
- Professional Services (67%)
- Retail (67%)
- Automotive (50%)
- Healthcare (50%)
- Transportation (50%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Analytical models
SQL Server Analysis Services, commonly called SSAS, is Microsoft’s analytical engine for turning operational data into fast, reusable business models. Professionals use it to build tabular and multidimensional models that support dashboards, reports, planning and self-service analysis. The technology can serve data from SQL Server, cloud services, enterprise applications and other structured sources.
Tabular and multidimensional
Tabular models organize data through relationships, measures, calculated columns and hierarchies. They typically use DAX and work closely with Power BI, Excel and modern Microsoft analytics services. Multidimensional models use cubes, dimensions, partitions and MDX, which remain important in established enterprise environments with complex reporting structures.
Ecosystem and tooling
SSAS work often sits within a wider Microsoft data stack. Relevant skills include:
- SQL Server, Integration Services and Reporting Services
- Power BI, Excel and Azure Analysis Services
- DAX, MDX, data modeling and dimensional design
- Tabular Editor, Visual Studio and deployment pipelines
- Security roles, row-level access and processing automation
When specialists help
Companies bring in freelance expertise when an analytical model is slow, difficult to maintain or no longer fits changing reporting needs. They may need support during a migration from multidimensional to tabular models, a move toward Azure, or the introduction of governed self-service analytics. In Frankfurt, remote collaboration is common, while workshops with local business and data teams can still benefit from on-site availability and clear German or English communication.
Delivery work
A specialist can assess source systems, define the semantic model and translate business logic into reliable measures. Typical deliverables include model design, DAX or MDX calculations, partition and processing strategies, security configuration, performance tuning and deployment documentation. Strong delivery also covers testing with business users and a practical handover for internal teams.
Quality signals
Strong SSAS professionals understand both the data platform and the decisions the model must support. They validate relationships, filter context, aggregations and calculation logic instead of treating performance as a query-only problem. Look for clear modeling decisions, disciplined version control, repeatable deployments and evidence that they can explain complex measures to analysts, managers and technical stakeholders.
Frequently asked questions
Quick answers to the questions that come up most around SQL Server Analysis Services.
SQL Server Analysis Services is used to create semantic models that make business data easier and faster to analyze. Companies use SSAS for governed reporting, dashboards, financial analysis, sales reporting, forecasting and self-service exploration through tools such as Power BI and Excel.
SSAS provides a dedicated analytical model layer that can serve multiple reporting tools and applications. Power BI semantic models can cover similar needs, but a separate SSAS model may suit organizations that need centralized governance, shared logic, controlled access or an established enterprise reporting architecture.
SQL Server Analysis Services tabular models are usually the practical choice for new work because they align with DAX, Power BI and current Microsoft tooling. Multidimensional models can remain appropriate when existing cubes, MDX calculations, complex hierarchies or legacy reporting processes are central to the business.
A strong SSAS specialist usually understands relational SQL, dimensional modeling, data integration and reporting design. Experience with DAX, MDX, Power BI, Azure data services, security roles and deployment automation is also valuable, depending on the project scope.
The right SQL Server Analysis Services professional should have delivered models similar to the company’s data volume, reporting complexity and security needs. Ask for examples covering model design, calculation logic, processing performance, user access and production handover rather than relying on tool familiarity alone.
SSAS work is well suited to remote collaboration because model development, testing and deployment can be managed through shared repositories and secure environments. On-site workshops in Frankfurt may help when specialists need to map business definitions with local teams, while fluent English or German can support smoother communication.
Microsoft Analysis Services commonly connects to SQL Server, Azure data services, Power BI and Excel. It can receive prepared data through integration workflows and expose governed measures, dimensions and security rules to reporting and analysis tools.
A quality SSAS implementation has clear relationships, well-tested measures, predictable filter behavior and processing that fits operational requirements. Review documentation, deployment practices, security design and performance evidence, then ask the professional to explain trade-offs in language that business users can follow.
The average hourly rate of freelancers in Frankfurt, Germany who have used SQL Server Analysis Services in their recent projects is 97 €, which corresponds to a daily rate of about 773 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used SQL Server Analysis Services in their recent projects, 83% hold at least a Bachelor's degree, 33% hold at least a Master's degree, and 17% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used SQL Server Analysis Services in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 2.8 years.
The most common languages among freelancers in Frankfurt, Germany who have used SQL Server Analysis Services in their recent projects are German (100%), English (100%), and French (33%).
The most common industries among freelancers in Frankfurt, Germany who have used SQL Server Analysis Services in their recent projects are Information Technology (100%), Energy (67%), and Banking and Finance (67%).
The most common business areas among freelancers in Frankfurt, Germany who have used SQL Server Analysis Services in their recent projects are Business Intelligence (100%), Information Technology (100%), and Project Management (83%).
Main locations of FRATCH Experts, who have recently used SQL Server Analysis Services
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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