OLAP Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used OLAP
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.
Alexander Z.
Last position:
Senior Data Solutions Engineer at VMware Inc.
- Architected and deployed private cloud data platform on VMware vSphere, integrating Greenplum MPP, Apache Kafka, Kubernetes, and Apache Solr, and developed real-time ingestion pipelines with Kafka Connect and Schema Registry.
- Led Oracle Exadata to Greenplum migration, rearchitected data models, optimized storage, implemented RabbitMQ with Debezium for CDC, and deployed VectorDB for Generative AI.
- Designed and executed multi-cloud migration PoC across AWS, Azure, and GCP, defined KPIs for throughput, latency, and cost efficiency, executed bulk data transfers, validated analytics and streaming workloads, and delivered full-scale architecture recommendations.
- Assessed legacy on-premises infrastructure and designed modern cloud-native data platforms using Greenplum and containerized microservices, advising on scalability, disaster recovery, and high-availability.
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
Mimmo N.
Last position:
Consultant Controlling / MIS / SAP R/3 FI/CO at Freelance
- Consulting on complex IT, accounting, controlling, and business intelligence projects from the analysis phase through implementation to go-live support
- Work as consultant, project manager, and subproject manager
- Focus on business process analysis and implementation
- Controlling: sales, marketing, project, financial, and cost controlling
- Accounting: General Ledger, Accounts Receivable, Accounts Payable, asset accounting
- Implementation and training of SAP R/3 FI/CO
- Operational experience in controlling, sales, human resources, and commercial project management before my consulting work
Dirk B.
Last position:
Freelance Controller and Coach at Freelance Controller and Coach
- Interim Head of Controlling at a medium-sized industrial group in mechanical engineering: setup of group controlling, preparation for the planned IPO, realignment of monthly reporting
- Project at a medium-sized company in the steel and mechanical engineering industry: further development of cost and performance accounting; setup of a structured overhead cost sheet to determine hourly and overhead allocation rates for pre- and post-calculation; setup of a profit center accounting system to show the P&L by business unit
- Interim CFO at a startup in optics / photonics: preparation of financial and liquidity plans to prepare for financing rounds and funding projects; contact person for investors in due diligence processes; setup of monthly reporting for internal and external stakeholders; preparation of annual financial statements together with an external tax advisory firm (inventory valuation, provisions, etc.); contact person for project sponsors in funded development projects; optimization and digitalization of business processes in finance
- Interim Head of Finance at a startup in robotics: introduction of business processes; support during financing rounds
- Project at a medium-sized mechanical engineering company: introduction of cost and performance accounting
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.
Olga M.
Last position:
Telefónica Deutschland Holding AG
- Implemented the BI solution and replaced the old BI landscape
- Led the “Sales Bonus Plan” subproject: expanded the existing solution and migrated to Azure (Databricks)
- Led the “Cognos Migration” subproject: expanded existing data warehouses based on MS technologies (source systems: Oracle), analyzed business requirements and designed the technical solution
- Expanded the relational DWH database
- Developed ETL processes using SSIS
- Developed the multidimensional database (OLAP Cubes/SSAS)
Mario T.
Last position:
Project Lead/Manager / Consultant at all-BI GmbH
- Establishing the Microsoft Fabric platform with the company as the central data warehouse and reporting system.
- The company migrated several operational systems including D365 to new version. The new data warehouse is based on a Fabric/Power BI architecture with Azure cloud Entra Authentication.
Tasks Performed:
- Full administrative responsibility for the Fabric platform F64 and F32 capacities, as well as two F8 capacities for development and prototyping.
- Integration of Fabric with Microsoft Entra.
- Data modeling for the data warehouse bronze, silver and gold layers using data modeling tools.
- Star Schema as well as entity relationship modeling.
- Data modeling for data marts and for dimensional modeling and Power BI (semantic model).
- Design of data models for Microsoft SSAS multidimensional and tabular OLAP cubes using DAX and MDX.
- Definition of design patterns for the ETL team for loading OLAP cubes (Tabular and MD), star schemas and data vault structures.
- Planning and managing team of 4 ETL and reporting developers.
- Performance Tuning of Power BI reports, particularly the semantic layer, as well as the Fabric notebooks
- SQL Performance Tuning.
- DB Design for Azure SQL.
- Reporting directly to project senior management.
Label: Power BI, Fabric, Analysis Services (multidimensional and tabular), D365, SSIS, Tabular Editor, SQL Server and Azure SQL, TOAD Data Modeler, DBSchema, Visual Studio Code, DAX Studio, SSMS, Visual Studio, Jira and Confluence.
Norbert G.
Last position:
Support for implementing the Pimcore CMS as well as support assistance and partner management at Akademisch Arbeitsgemeinschaft GmbH
- Support for implementing the Pimcore CMS, support assistance, and partner management for the existing application landscape.
- Know-how transfer to the existing application landscape.
- Advising stakeholders on the new implementation.
- Support in data modeling for Pimcore.
- Designing and overseeing data migrations from Salesforce to Pimcore using ESB.
- Creating user stories.
- 3rd level support for business-critical processes.
- Technologies: Salesforce Marketing, Sales, and Service Cloud; Talend ESB; Pimcore; Shopware; ERP system Move; DB2; MySQL; MS Office; MS Visio; Jira; Confluence.
Andrei B.
Last position:
Head of Group Performance and Strategy at SPEIRA GmbH
- While running FP&A processes, initiated and implemented changes therein, improving depth, speed, and accuracy: performance analysis; monthly reporting to the shareholders; forecasting/estimating; annual planning/budgeting
- Quantified and formulated a strategic plan for the Group
- Provided insights leading to operational and strategic decisions
- Ensured timely progress in strategic projects
- Corporate Finance
- Data Analytics
- Presentation/Pitching
- Stakeholder Management
- Strategic Planning / Budgeting
Stefan R.
Last position:
Corporate Controller / Private Equity Controller (PE) interim at Amedes Medical Services GmbH
- Responsibility for group-wide financial management with a focus on management, PE, and lender reporting.
- Focus on an integrated financial model (P&L, balance sheet, cash flow), robust liquidity and covenant management, and preparation of decision-ready materials for financiers, auditors, and rating stakeholders.
- Establishment of reporting standards, data logic, and closing routines for high-frequency scalability.
- Further development of an integrated financial model (P&L/BS/CF), including scenario capabilities, sensitivities, and driver-based forecasting logic.
- Design and management of a rolling liquidity plan (short-/mid-term), including working capital mechanisms and financing instruments.
- Preparation and quality assurance of lender reporting, including covenant calculations, bridge analyses, and variance explanations.
- Support for the CFO agenda in financier and stakeholder communication (Q&A, documentation logic, key messages, data consistency).
- Coordination and content input for rating- and financing-related deliverables (e.g., presentations, data rooms, management commentary).
- Management of IFRS/accounting topics (e.g., IFRS 16 lease logic, accrual and reconciliation concepts) to ensure reporting and audit readiness.
- Standardization of reporting structures, templates, and KPI definitions across entities to increase transparency, comparability, and speed.
Werner K.
Last position:
Test Coordinator, Designer and Engineer at IBM
- Testing the SekIDP and related components
- Test design, execution and automation, microservices, GitHub Enterprise, Eclipse, Katalon Test Platform, API Testing, Confluence 8, JIRA/Xray, Draw.io, Swagger/OpenAPI, Postman, Docker, Kubernetes, Podman, PuTTY, E-Health, Telematik, Gematik standards, EPA, E-Rezept, sektoraler IDP, encryption, XaDES, PaDES, DICOM, HL7, FHIR, IHE, ICD, SSO, SAML/Shibboleth, OAuth, smartcards, JWT, two factor authentication Android and iOS, Wireshark, BrowserStack, Cypress, gRPC, REST, SOAP, WS-Security, Linux Shell, PowerShell, SSH/SSL, Java, Kotlin, Cordova, Gradle, Groovy, Python, TypeScript
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.
Peter O.
Last position:
GB Foods
- Leading a team of 3 business controllers and 1 demand planner.
- Responsibility for reporting, forecasting, planning, and price management.
- Advising and supporting the implementation of annual negotiations with retailers.
- Managing and optimizing controlling processes.
- Close collaboration with sales, marketing, customer service, and accounting.
- Sales approx. €130 million.
- FMCG.
Jürgen G.
Last position:
Data Analysis & Harmonization at Various clients/consulting partners
- Analysis and harmonization of master data
- Analysis of product and customer portfolios and KPI identification
- Preparation and harmonization of raw material master data for migration
- Marketing and customer support as well as organization at real estate agencies
Discover over 15,000 top freelancers
Statistics of experts using OLAP
Aggregated from the professional profiles of matched freelancers.
Experience
29 years
Position duration
3.2 years
Positions per freelancer
17
Top business areas
Information Technology, Business Intelligence, Project Management
Top industries
Information Technology, Professional Services, Manufacturing
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
85%
Master's degree or higher
40%
Doctorate
15%
Certifications per freelancer
2
Most common languages
German, English, Russian
Speak two or more languages
100%
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 Germany 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 Germany using OLAP
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.
OLAP 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 (86%)
- Professional Services (71%)
- Manufacturing (57%)
- Banking and Finance (46%)
- Automotive (43%)
- Healthcare (43%)
- Telecommunication (43%)
- Food and Beverage (39%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Multidimensional Analysis and Analytical Processing
Online Analytical Processing enables complex multidimensional queries across large business datasets at rapid speeds. Unlike transactional systems, it consolidates historical records into structured models that business analysts interrogate across multiple dimensions such as time, geography, and product lines without degrading operational systems.
Core Architectures and Modern Engines
Implementations range from traditional multidimensional cubes to modern columnar analytical stores capable of processing billions of records.
- Relational OLAP (ROLAP) querying structured warehouse tables
- Multidimensional OLAP (MOLAP) using pre-calculated array cubes
- Hybrid approaches (HOLAP) balancing storage density and query speed
- Modern real-time engines like ClickHouse, Apache Druid, and Apache Pinot
Analytical Modeling and Enterprise Tooling
Specialists structure underlying data into clean star and snowflake schemas with optimized dimension hierarchies. They configure semantic layers and metrics calculations using languages like MDX, DAX, and specialized SQL extensions. Tooling frequently involves platforms such as Microsoft SSAS, Snowflake, BigQuery, Cube, and Kyvos, integrated alongside enterprise business intelligence platforms.
When Organizations Need Specialized Guidance
Companies hire external support when standard relational databases stall under heavy analytical workloads. Migrating legacy on-premises analytical cubes to cloud-native platforms requires precise query design and schema optimization. Organizations also need expertise to establish unified metrics layers that serve consistent figures to visualization dashboards across departments.
Enterprise Applications in Germany
Organizations across Germany rely heavily on analytical processing for automotive supply chain monitoring, financial controlling, and discrete manufacturing metrics. These deployments often require seamless integration with SAP ecosystems and rigorous data segregation to satisfy strict regional compliance frameworks.
Hallmarks of Strong Analytical Professionals
Top practitioners balance conceptual dimensional modeling with deep knowledge of storage engines, indexing techniques, and partition pruning. They write clear aggregation logic, troubleshoot latency bottlenecks in complex calculations, and design maintainable models that adapt smoothly as business definitions evolve.
Frequently asked questions
Key details about OLAP, drawn from the questions we get asked most.
While operational databases process concurrent transactional read and write queries, OLAP engines are optimized for reading and aggregating massive historical volumes. Transactional systems rely on normalized schemas to maintain data integrity, whereas analytical processing uses denormalized schemas like star or snowflake layouts to maximize query retrieval speed.
Traditional corporate environments often deploy Online Analytical Processing via Microsoft SQL Server Analysis Services (SSAS) or Oracle Essbase. Contemporary data stacks frequently run on cloud data warehouses like Snowflake, or high-throughput distributed engines such as Apache Pinot, ClickHouse, and semantic layers like Cube.
The choice depends on data volume, update frequency, and latency targets. A MOLAP model stores pre-aggregated cubes for instantaneous slicing and dicing on bounded datasets, while relational approaches scale better to petabyte datasets. Hybrid setups combine both approaches to offer fast summaries on aggregate levels with drill-down depth.
Practitioners working with OLAP need advanced SQL expertise and a deep command of dimensional data modeling methodologies such as Kimball design. They also require experience with orchestration pipelines, extract-transform-load workflows, and enterprise visualization platforms like Power BI or Tableau.
Many industrial and financial enterprises in Germany are modernizing legacy on-premises cubes to cloud infrastructure. Engaging specialized freelancers provides targeted knowledge for refactoring complex calculation scripts, mapping multidimensional data to modern warehouses, and ensuring data privacy compliance under strict EU governance standards.
Yes, data modeling, semantic layer configuration, and query optimization are well suited for remote workflows when secure staging environments and clear data dictionaries exist. Companies in Germany often pair remote analytical execution with occasional on-site workshops during initial architecture scoping.
Engineers working with OLAP cubes historically write MultiDimensional eXpressions (MDX) or Data Analysis Expressions (DAX) to retrieve metrics across hierarchical dimensions. Modern analytical platforms increasingly utilize SQL with window functions and analytical extensions to compute complex running totals and period-over-period comparisons.
Review their approach to handling slowly changing dimensions, schema granularity, and partition management under heavy read concurrency. A competent OLAP specialist will demonstrate how they balance pre-aggregation storage costs against query response times to avoid dashboard degradation.
The average hourly rate of freelancers in Germany who have used OLAP in their recent projects is 110 €, which corresponds to a daily rate of about 884 € based on an 8-hour working day.
Of the freelancers in Germany who have used OLAP in their recent projects, 85% hold at least a Bachelor's degree, 40% hold at least a Master's degree, and 15% hold a doctorate.
On average, freelancers in Germany who have used OLAP in their recent projects have 29 years of professional experience, with a single engagement typically lasting around 3.2 years.
The most common languages among freelancers in Germany who have used OLAP in their recent projects are German (100%), English (100%), and Russian (21%).
The most common industries among freelancers in Germany who have used OLAP in their recent projects are Information Technology (86%), Professional Services (71%), and Manufacturing (57%).
The most common business areas among freelancers in Germany who have used OLAP in their recent projects are Information Technology (96%), Business Intelligence (93%), and Project Management (79%).
Main locations of FRATCH Experts, who have recently used OLAP
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.
Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
