OLAP Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used OLAP
Ajay Kumar Deekonda
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 Zhirov
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 Grunert
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 Nocera
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
Monika Thepale
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.
Mario Techera
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.
Olga Methner
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)
Philipp Gies
Last position:
BI Consultant at accantec information solutions AG
Energy Management (2023-08-01 – present):
Designing a planning solution to improve energy efficiency
Creating a concept for an energy management system
Planning a measures planning component to gradually reduce energy consumption
Evaluating planned measures by assessing opportunities, risks, and effectiveness for integration into planning
Defining requirements for a data model to compare planned vs actual data in the dashboard
Consulting (2023-05-01 – present):
Expanding accantec PerCon permission management to IBM Planning Analytics
Analyzing permission requirements and aligning with IBM Cognos Analytics and Tableau
Extending accantec PerCon with IBM Planning Analytics via REST API
Printing (2023-04-01 – present):
Supporting the rollout of a data warehouse solution with IBM Cognos Analytics 11
Assisting in the introduction of a reporting system based on a standard data warehouse
Supporting report developers and creating custom controls to optimize the user interface
Healthcare (2020-08-01 – 2023-03-31):
Optimizing, extending, and operating a long-standing BI planning landscape
Upgrading the Jedox solution from version 2019.1 to 2022.2
Optimizing ETL processes and reports, and implementing automated ETL
Connecting various accounting and management systems
Writing back completed plans to source systems and implementing complex allocation logic
Building and maintaining dimensions and hierarchies (company structure, P&L)
Developing planning scenarios for FP&A and creating budget monitoring reports
Designing and implementing new OLAP cubes and reporting
Conducting user trainings based on customer requirements
Industrial sector (2020-04-01 – 2020-12-31):
Migrating and optimizing an existing Jedox solution
Merging reporting and planning systems in Jedox
Building a central group reporting with plan vs actual comparison for FP&A
Optimizing metric calculations, existing reports, and creating new reports
Producing forecast reports, managing permissions, and training users in an international setting
Finance (2020-05-01 – 2023-03-31):
Enhancing and operating an existing Jedox solution
Designing and developing new OLAP cubes for controlling
Building hierarchies in dimensions (e.g., P&L) and updating the Jedox system in a Linux environment
Conducting user trainings for report creation
Trade fair (2020-06-01 – 2023-03-31):
Designing and developing a BI planning solution in Jedox with a data warehouse setup
Creating ETL processes to load dimensions and OLAP cubes
Building reports, planning input forms, and implementing business logic (P&L, allocation logic)
Implementing planning and analysis reports, as well as a security concept in Jedox
Industrial sector (2021-03-01 – 2023-03-31):
Migrating and optimizing an existing Jedox solution
Upgrading the Jedox solution and migrating ETL processes from Pentaho Kettle to Jedox Integrator
Optimizing SQL queries, analyzing the system, removing redundancies, and developing new ETL processes
Reviewing and adjusting existing reports
Staffing services (2022-07-01 – 2022-10-31):
Migrating a Jedox solution from version 5 to 2022.2
Performing a system update with configuration adjustments and performance issue analysis
Optimizing the OLAP database by streamlining dimensions and removing unused cubes/data
Finance (2021-10-01 – 2022-02-28):
Creating OLAP cubes in Microsoft SSAS
Building dimensions and hierarchies, and calculating metrics with MDX
Supporting users with Power BI requests
Norbert Gunia
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 Bolshakov
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 Rübener
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 Keil
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 Virk
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 Oßwald
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.
Dirk Bergner
Last position:
Freelance Controller and Coach at Freelance Controller and Coach
- Interim Head of Controlling at a medium-sized mechanical engineering group: set up corporate controlling, prepared for planned IPO, realigned monthly reporting
- Project at a medium-sized steel and mechanical engineering company: enhanced cost and performance accounting; created a structured operating cost sheet to determine hourly and overhead rates for pre- and post-calculations; set up profit center accounting to show P&L by business units
- Interim CFO at a startup in optics/photonics: prepared financial and liquidity plans for funding rounds and grant projects; acted as contact for investors during due diligence; set up monthly reporting for internal and external stakeholders; prepared annual financial statements in collaboration with external tax advisors (inventory valuation, provisions, etc.); liaison for project sponsors of funded development projects; optimized and digitized financial processes
- Interim Head of Finance at a robotics startup: implemented business processes; supported financing rounds
- Project at a medium-sized mechanical engineering company: implemented cost and performance accounting
Discover over 15,000 top freelancers
Statistics of experts using OLAP
Aggregated from the professional profiles of matched freelancers.
Experience
28 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
84%
Master's degree or higher
42%
Doctorate
16%
Certifications per freelancer
2
Most common languages
German, English, Russian
Speak two or more languages
100%
Based on our profile pool as of 30 Aug 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
OLAP basics
OLAP stands for Online Analytical Processing. It is used to analyze large sets of business data quickly, usually for dashboards, reporting, and decision support. Strong specialists know how to shape data so teams can slice it by time, region, product, or other business dimensions.
Typical work
- Build multidimensional models and cubes
- Prepare measures, dimensions, hierarchies, and calculations
- Optimize queries for fast aggregation and drill-down
- Support finance, sales, supply chain, and management reporting
Tooling and stacks
OLAP work often sits beside SQL, ETL, and data warehouse tooling. Depending on the stack, specialists may work with Microsoft SQL Server Analysis Services, Oracle OLAP, Apache Kylin, or cube layers in modern cloud analytics setups. The best experts understand both the semantic model and the data source behind it.
When to bring in help
Companies usually bring in freelance OLAP specialists when reports are slow, metric definitions are inconsistent, or a new analytics layer must be delivered quickly. In Germany, this often happens in larger enterprises, industrial firms, and regulated sectors that need reliable reporting across teams. Remote work is common, but on-site collaboration can help when business users are refining the model.
What good experts do
Strong professionals ask about business logic before touching the model. They document calculations clearly, keep performance in mind, and test results against source data. They also know when OLAP is the right fit and when a simpler SQL or dashboard approach is enough.
Signs you need an OLAP specialist
- Dashboards take too long to open
- The same KPI looks different in different reports
- Users need ad hoc analysis without waiting for new code
- Your team must maintain an existing cube or semantic layer
- The project involves Power BI, SSAS, or a warehouse-backed reporting stack
Frequently asked questions
Key details about OLAP, drawn from the questions we get asked most.
OLAP is used for fast analysis of business data across many dimensions, such as time, location, product, or department. It is a fit for reporting, budgeting, sales analysis, and operational review when teams need quick drill-down and aggregation rather than transactional processing.
A OLAP model is built for analytical queries, pre-aggregated views, and business-friendly hierarchies. Plain SQL reporting can work well for simpler cases, but OLAP usually performs better when users need repeated slicing, pivoting, and complex measures.
A strong OLAP specialist often knows SQL, data warehousing, ETL, and semantic modeling. Depending on the stack, that can include Microsoft SQL Server Analysis Services, Oracle OLAP, Power BI, or cube-friendly platforms like Apache Kylin.
A good OLAP freelancer needs clear business definitions, source system knowledge, and the reporting goals. If metric logic is already documented, onboarding is faster; if not, the specialist should help define measures, hierarchies, and validation rules early.
Yes, OLAP work is often done remotely because the core tasks are model design, query tuning, and report logic. For teams in Germany, remote collaboration works well when business users can review definitions clearly, while occasional on-site sessions help align on terminology and data ownership.
Look for OLAP experience with real business models, not just tooling names. Good signs are clear documentation, performance awareness, understanding of dimensions and measures, and the ability to explain trade-offs in simple terms.
Yes, because OLAP is often the modeling layer behind those BI tools. Even with Power BI, Tableau, or similar front ends, teams still need well-structured analytical models so reports stay fast and consistent.
The best OLAP professionals usually combine analytics modeling with SQL, data warehouse design, ETL, and business analysis. Skills in performance tuning, source-system integration, and finance or operations reporting are especially useful.
The average hourly rate of freelancers in Germany who have used OLAP in their recent projects is 111 €, which corresponds to a daily rate of about 886 € based on an 8-hour working day.
Of the freelancers in Germany who have used OLAP in their recent projects, 84% hold at least a Bachelor's degree, 42% hold at least a Master's degree, and 16% hold a doctorate.
On average, freelancers in Germany who have used OLAP in their recent projects have 28 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 (23%).
The most common industries among freelancers in Germany who have used OLAP in their recent projects are Information Technology (85%), Professional Services (69%), and Manufacturing (58%).
The most common business areas among freelancers in Germany who have used OLAP in their recent projects are Information Technology (96%), Business Intelligence (92%), and Project Management (77%).
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.
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