SAS Experts in Frankfurt
for trusted analytics, matched in minutes with vetted and available freelancersHire experts who turn complex data into governed reports, predictive models and decision-ready insights with SAS, Base SAS, SAS Viya and SQL. FRATCH matches you quickly and precisely with vetted, available freelancers who fit your project.
Meet FRATCH Experts in Frankfurt, who have recently used SAS
Sebastian Z.
Last position:
CRM Consultant at Adevinta / kleinanzeigen.de
- Goal: Development and optimization of loyalty and CRM measures for a leading e-commerce platform
- Solution: Identification of promising users, increase in engagement, and long-term retention to drive revenue growth
- Definition of local CRM direct communication for specific segments
- Translation of research insights into actionable recommendations
- Planning and implementation of CRM campaigns in close collaboration with marketing and product teams
- Identification of optimization potential in direct communication
- Collaboration with external agencies on creative solutions, prototyping, and UAT
- Measurement and reporting of key KPIs
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.
Mustafa K.
Last position:
Senior Network Design and Engineer at Helaba
Designed and specified the technical network integration of a new business-critical application system (MUREX) in the capital markets area in a complex interface and outsourcing environment.
Created component specifications, a catalog of measures and an implementation plan.
Ensured proper integration of the developed results in line with the bank’s framework: IT compliance, IT security, change and release management.
Selected and integrated a new service provider for the bank; moved critical bank applications to the provider.
Designed, implemented and supported the new Cisco network and Fortinet security setup at the service provider data center.
Acted as technical interface between the bank, service providers and consulting partners.
Supported and further developed the network and security infrastructure (clients, servers, networks); performed error analysis and implemented solutions within agreed service levels.
Analyzed and diagnosed all security and network failures, glitches and malfunctions.
Initiated continuous improvements to ensure efficient resource use and acceptable response times for users.
Provided network support in a financial services organization and prepared operational changes on production banking network infrastructure for both large and small projects within strict change management discipline.
Designed, defined, tested, governed and improved engineering standards.
Performed the role of network architect for medium to large projects involving team resources.
Eric B.
Last position:
Quality Assurance Lead (QSV) at Federal Employment Agency
Supported the International Web Presence project of the Federal Employment Agency (IntWeb) in quality management, taking on responsibility for the quality of processes and project deliverables while adhering to BA standards. The project's main goals are to give professionals abroad a quick overview of their chances to move to Germany and to enable them to take the necessary steps in a consistently digital way.
Set the fundamental guidelines using the QA handbook
Summarized test results in QA reports for PLA
Analyzed project outcomes for improvement opportunities
Quality management of requirements analysis (especially processes, methods and tools)
Ensured compliance with SERA guidelines
Created a cross-project test concept
Agreed on sprint completion reports
Conducted formal reviews of deliverables according to guidelines and/or project plan
Acted as contact person for internal audit and external audits by auditors or the Federal Audit Office (BRH)
Technologies: JIRA, Confluence, MS Office, GitLab, Kubernetes
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.
Kamran V.
Last position:
Agile Delivery Manager at Sparecodes Incorporation
- Highly successful role as lead data analytics expert at a US consulting startup.
- Managed stakeholder expectations by ensuring team delivery velocity using Agile and Lean practices.
- Trained and assembled international offshore data science teams of DevOps engineers, BI developers, and technical support specialists.
- As Sparecodes' data analytics experts, we improved our clients’ business outcomes through requirements management, dashboard and report development, migration, automation, and production support using IBM Cognos, AWS, SAP, Oracle, Teradata, CRM, ERP, Confluence, and Microsoft.
- Provided effective coaching and mentoring for international, multicultural teams in a remote environment, covering new tools and techniques, Agile best practices, internal and external communication, and presentation skills.
- Coordinated technical processes efficiently, including managing and implementing project changes and control processes.
- Promoted strong team engagement and supported employees’ career development, including business change management through coaching.
- Enhanced project status reports by providing insights into team productivity, predictability, and backlog burn-down, leading to improved project outcomes.
- Successfully led the coordination and implementation of software solutions for clients in mechanical engineering, including automation system integration and customization to meet client needs.
Serge K.
Last position:
Controller Specialist – IRBA / Model Validation at Alte Leipziger Bauspar AG
- Credit risk
- Quantitative methods
- Development and validation of IRBA rating systems
- Analysis and monitoring of the credit portfolio
- Reporting
- Development and validation of allowance for loan losses models (PWB)
- Support for internal and external audits
Kevin M.
Last position:
Freelance Lecturer in Coaching at DSI Education GmbH
- Practice-oriented coaching on core aspects of data science
- Teaching advanced concepts in Python as well as automation (with Make and n8n) and ETL processes with Apache Airflow
- Weekly preparation and delivery of practice-oriented programming courses using real-world examples
- Promoting practical programming skills among participants through interactive exercises and individual support
- Developing didactic materials and adapting content to participants' skill levels
- Close collaboration with the team for continuous improvement of course quality and learning outcomes
Jens B.
Last position:
New Business Development Manager at Cofinpro AG
- New business area for securities, lending and payments
- Developing new target clients, focusing on development banks, retail banks and IT service providers
- Designing and implementing sales strategies for target clients
- Creating proposals and taking responsibility for customer management
- Continuous market analysis and understanding client needs
- Preparing presentations and proposals
- Handling and participating in public tenders
- Building new consulting topics
- Attending trade shows as an exhibitor and visitor
Jin T.
Last position:
Test Automation Engineer at NetCologne GmbH
- Create and execute regression test cases with TOSCA
- Train internal staff in using TOSCA
- Tools: Siebel CRM, Oracle PL/SQL Developer, TestRail
Discover over 15,000 top freelancers
Statistics of experts using SAS
Aggregated from the professional profiles of matched freelancers.
Experience
23 years
Position duration
2.5 years (Germany: 2.6 years)
Positions per freelancer
15 (Germany: 14)
Top business areas
Information Technology, Business Intelligence, Project Management
Top industries
Banking and Finance, Information Technology, Professional Services
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
100% (Germany: 94%)
Master's degree or higher
86% (Germany: 79%)
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
90% (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 Frankfurt 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.
Discover detailed SAS rate benchmarks:
Explore rate insightsAverage rates of experts in Frankfurt using SAS
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.
SAS 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 (90%)
- Information Technology (90%)
- Professional Services (50%)
- Automotive (40%)
- Retail (40%)
- Telecommunication (40%)
- Energy (30%)
- Insurance (30%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What SAS does
SAS is an analytics platform for preparing data, running statistical analysis and delivering governed business insight. Companies use it for reporting, forecasting, risk analysis, customer intelligence and regulated decision-making. Its tools support repeatable workflows from raw data to documented results.
Core ecosystem
The SAS ecosystem includes Base SAS, SAS/SQL programming, SAS Enterprise Guide, SAS Studio and SAS Viya. Strong specialists may also work with SAS Visual Analytics, SAS Data Integration Studio, macro language, data quality tools and model management. Integration with relational databases, cloud storage, Python and R is common when analytics teams combine established SAS processes with wider data platforms.
Typical delivery
- Build data preparation and transformation flows
- Develop statistical, forecasting and predictive models
- Create governed dashboards and recurring reports
- Migrate workloads from legacy SAS environments to SAS Viya
- Document validation, controls and production handover
SAS work often ends in an auditable report, reusable program, scoring pipeline, dashboard or model that business teams can operate with confidence.
When to hire specialists
Companies bring in freelance SAS expertise during reporting changes, regulatory programmes, platform migrations and analytics backlogs. Support is also useful when internal teams need help with difficult data integration, performance issues or model deployment. In Frankfurt, collaboration may involve financial services, insurance, healthcare, manufacturing and public-sector organisations, with remote delivery combined with on-site workshops when needed.
Skills that matter
A capable professional understands both SAS syntax and the business context behind the analysis. Look for experience with data modelling, SQL, statistical methods, macro programming, scheduling, metadata management and access controls. Familiarity with Python, R, cloud data services or modern MLOps can help when SAS connects to a broader analytics architecture.
How quality is judged
Good SAS work is reproducible, explainable and easy to maintain. Review how a specialist tests transformations, handles missing or sensitive data, validates models and separates development from production. Clear documentation, sensible naming, efficient code and a practical handover matter as much as the final dashboard or model.
Frequently asked questions
Everything clients usually want to know about SAS, in one place.
SAS is used to prepare data, perform statistical analysis, create reports and build predictive models. It is common in risk, finance, insurance, healthcare, marketing and other settings where traceable results and governed processes matter.
SAS offers an integrated environment for data management, analytics, reporting, governance and support in regulated organisations. Python and R provide broad open-source ecosystems and flexibility, while SAS can offer established controls, reusable enterprise workflows and strong business reporting. The right choice depends on existing systems, team skills and operational requirements.
SAS work benefits from strong SQL, data modelling and statistical knowledge. Depending on the assignment, adjacent skills may include Python or R, database integration, cloud services, data quality, dashboard design, model validation and production scheduling.
SAS assignments vary from focused report changes to major migrations or model development. The right professional should have delivered work comparable in complexity and understand the relevant data, controls and business process. A clear scope is more useful than relying on a generic experience label.
SAS projects can usually be delivered remotely when secure access, clear documentation and reliable communication are in place. Frankfurt-based organisations may still prefer on-site workshops for stakeholder alignment, access reviews or handover. German and English language expectations should be agreed before work begins.
SAS Viya is relevant when a company wants a more modern, cloud-ready analytics environment with broader collaboration and model management capabilities. Traditional SAS installations may remain suitable for stable, established workloads. A specialist should assess migration effort, integrations, governance and operating needs before recommending a change.
SAS deliverables should be reproducible, tested and understandable to the people who maintain them. Ask for examples of validation, data-quality checks, performance improvements, documentation and production handover. A strong professional can explain assumptions and limitations without hiding them behind complex code.
SAS work in Frankfurt often connects to financial services, insurance, healthcare and large corporate reporting environments. Professionals may need to follow strict access controls, document analytical decisions and collaborate with German-speaking stakeholders while working in English with technical teams. Clarifying security requirements and on-site expectations early prevents delays.
The average hourly rate of freelancers in Frankfurt, Germany who have used SAS in their recent projects is 105 €, which corresponds to a daily rate of about 837 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used SAS in their recent projects, 100% hold at least a Bachelor's degree and 86% hold at least a Master's degree.
On average, freelancers in Frankfurt, Germany who have used SAS in their recent projects have 23 years of professional experience, with a single engagement typically lasting around 2.5 years.
The most common languages among freelancers in Frankfurt, Germany who have used SAS in their recent projects are German (100%), English (80%), and French (30%).
The most common industries among freelancers in Frankfurt, Germany who have used SAS in their recent projects are Banking and Finance (90%), Information Technology (90%), and Professional Services (50%).
The most common business areas among freelancers in Frankfurt, Germany who have used SAS in their recent projects are Information Technology (90%), Business Intelligence (80%), and Project Management (80%).
Main locations of FRATCH Experts, who have recently used SAS
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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