
Business Intelligence Experts in Frankfurt
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Meet FRATCH Experts in Frankfurt, who have recently used Business Intelligence
Florian R.
Last position:
Global Programme Lead, Ecosystem Separation at Merck Group
Electronics – Surface Solutions | Carve-out of IT, data and system landscape*
Separation of a full business division's IT, data and system landscape following divestment across cloud, on-premises and connected laboratory systems; centrally governed investment envelope in the three-digit m€ range
Laboratory notebook and laboratory analytics platform stream: Palantir Foundry, Snowflake, Signals Notebook, Power BI and connected laboratory instrumentation; SharePoint and JIRA; site transition completed without interruption to laboratory operations
Decision authority and escalation point for business, IT infrastructure, IT security and vendors; separation executed across globally distributed users and systems and handed over on schedule, avoiding a contractual penalty for the client
Gregor P.
Last position:
Engineering Data Management Project Manager
Technical and commercial risk assessment for an investment project in the hardware sector (scaling potential, liability risks, operational processes) Process consulting for two SMEs in the engineering environment, with a focus on workflow digitization and PLM
Kossi A.
Last position:
Project Manager at Deutsche Bank
Migration of an existing application to a new IT infrastructure.
- Managed all project activities (infrastructure, applications, data, security, architecture)
- Planned complex network architectures with security requirements
- Designed and coordinated firewall configurations
- Planned and managed interfaces between ERP, cloud, and third-party systems
- Coordinated middleware solutions (e.g. SAP Integration Suite, MuleSoft, Boomi)
- Defined data flows, mapping rules, and integration architectures
- Managed data migrations and master data harmonization
- Coordinated with business departments, IT teams, service providers, and external partners
- Team size: International team of 35 employees – Germany | Poland | India | USA
- Languages: English
Tools: Microsoft Office (Word, Excel, PowerPoint, Project), Brainloop, Jira, Confluence, MS SharePoint
Henok M.
Last position:
Electrician Specialist for Predefined Work (Dt: EFfT) at WBS Trainings
- Fundamentals of electronics measurement, electropneumatic circuits & protective measures according to DIN-VDE
- Installation, wiring and commissioning of PLC-controlled Systems
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.
Eric B.
Last position:
Quality Assurance Manager (QSV) at Federal Employment Agency
Supporting the International Web Presence of the BA (IntWeb) project in the area of quality management, with the aim of taking responsibility for the quality of processes and project results while considering BA standards. The main objectives of the project are to give professionals abroad a quick overview of their opportunities for moving to Germany and to enable them to take the necessary steps consistently and with digital support by providing access to services.
Defining the general guidelines in the QA handbook
Summarising test results in QA reports for PLA
Analysing project results for improvement opportunities
Quality management of requirements analysis (particularly processes, methods, and tools)
Ensuring compliance with SERA requirements
Creating a cross-project test concept
Agreeing on sprint completion reports
Formal review of work results in accordance with requirements and/or the project plan
Contact person for internal audit, external audits by auditors, or BRH (Federal Court of Audit)
Technologies: JIRA, Confluence, MS Office, GitLab, Kubernetes
Isabella S.
Last position:
Founder & Consultant at ISA ADVISE
- Independent consulting at the intersection of HR, Finance and IT
- Focus on People Analytics, HR Controlling, Pay Transparency, Compensation & Benefits and HR Transformation
- Analysis of complex HR and business data and development of reliable decision-making foundations for management and HR
- Design of KPI, reporting and BI solutions as well as data-based management models
- Consulting from analysis and concept development through implementation of transformation and optimization projects
- Focus on SAP Analytics Cloud, SAP BW and Power BI
- ISA = Insight · Structure · Alignment
Boian V.
Last position:
Solution Architect at DB InfraGO AG
The Base Services of DB InfraGO form a central data hub between the company’s IT systems. Common Data Services are developed that distribute data from source systems to a variety of downstream systems (via JMS) and make them available (via REST API). The existing service landscape based on TIBCO is being migrated to DB InfraGO’s cloud-native platform.
- Architecture design and implementation for performance-optimized bulk data processing of several million datasets at specific times during the day
- Technical specification and documentation of business requirements
- Integration of various subsystems (including SAP and Salesforce) through the reimplementation of more than 40 microservices based on Spring Boot
- Migration of TIBCO Based microservices from the Enterprise Integration Platform to the Cloud Native Platform using Spring-Boot
- Establishment of a deployment pipeline using GitLab CI/CD, Artifactory, and automated deployment to a Kubernetes environment with the help of ArgoCD
- Definition and implementation of automated unit, integration, and regression tests
Team Size: 9
Technologies/Tools: Java, Spring Boot, ActiveMQ(JMS), JUnit, Tibco Business Works, Gitlab (CI/CD), Kubernetes (Amazon AWS), ArgoCD, postgreSQL, Oracle, Postman, Hoppscotch, openAPI, Sonarqube
Helmut G.
Last position:
(Interim) CFO at Eutecma
Asset of GPP (Private Equity)
- B2B, Provider of cooled packaging solutions for the pharmaceutical industry
- €20m in revenue, 50 employees, 2 locations
Responsibilities:
- Responsibility for all commercial and financial activities
- Establishment of a finance and reporting structure
- Carve-Out / Post-closing transition management
Achievements:
- Preparation of investor reporting package (sales, financials, cash) using Power BI
- Development of a sales funnel
- Business process redesigns and implementation of regular business reviews
Koray A.
Last position:
Freelancer at KIA Group
Driving business strategy and fortifying the sales division by managing IT projects and reporting to the COO and Head of Sales, specifically:
- Developing the 2026 business plan, producing comprehensive sales reports, and designing compelling slide decks for board presentations
- PMO in digitization projects to transition from manual processes into state-of-the-art solutions (SAP, AI automation etc.)
Anthony M.
Last position:
Research and Development, AI for Enterprise at Mwanachama
- Built an MCP (Model Context Protocol) layer for Mwanachama's agency service, turning domain manager methods into callable AI-agent tools. This included a composite tool that builds a full organization design (org chart, goals, workflows, RACI matrix) from one specification.
- Built the chat-driven agency builder (Wakala Studio and API), where an organization describes its structure in natural language and an AI agent uses those tools to construct and modify the live design.
- Added an insights service so an organization can review AI-agent interactions and completed work. Insights from that review feed back into solution design, gated by architect and user sign-off.
- Alongside this, designed and built the platform itself: ~20 Go microservices on PostgreSQL, Flutter and React clients, deployed on Kubernetes.
- AI agents scan the platform autonomously for security gaps and run scripted tests, covering API (Postman-style) and UI testing. The rest of the work stays supervised. No rogue agents, promise.
- Building an AI-native enterprise platform that structures organizational data, workflows and responsibilities for both people and AI agents.
- Models accountability through RACI, allowing human and AI participants to take different operational roles, including Responsible, Accountable, Consulted and Informed. AI agents can also take controlled approval roles where the organization assigns that responsibility.
- Extended the organizational and operational-risk themes from my Executive MBA thesis into software, making roles, processes and controls explicit and machine-readable.
- Structures enterprise context so LLM interactions use more relevant information instead of repeatedly processing large amounts of unstructured content.
Felix T.
Last position:
Data Engineering and Power BI at Wesernetz Bremen
Independently built a data platform with cross-system process monitoring.
- Designed the Bronze/Silver/Gold architecture and Python-based pipelines for diverse operational sources.
- Cleaned, harmonized, and validated data; processed and stored it in Parquet format.
- Tracked data history and built business-focused fact and dimension models for traceable reporting.
- Automated data delivery with Python and Power Automate (desktop and cloud); used SharePoint for archiving and data access.
- Developed the Power BI solution from data preparation through to visualizing process statuses, work progress, and deviations.
Technologies: Python, SQL, Parquet, Power BI, Power Query, Power Automate, SharePoint, Copilot
Torsten F.
Last position:
Data Analyst, Requirements Manager at Isabellenhütte Heusler GmbH
Analysis of the existing reporting platform, including processes and governance topics, with stakeholders from Sales and Marketing.
Detailed analysis and evaluation of customer-defined requirements for existing reporting and new dashboards to be established.
Support for stakeholders in managing sales processes and identifying KPI trends at an early stage.
Use of Microsoft Power BI as the central analysis and reporting platform.
Development of a proposal for the required further development of processes and the Power BI platform.
Documentation of AS-IS business processes and derivation of company-wide KPIs, including coordination with stakeholders.
Analysis and assessment of the customer's Power BI platform.
Analysis of processes and data governance.
Documentation of AS-IS business processes.
Development of recommendations for further developing processes and the reporting platform.
Design and implementation of dashboards in Power BI.
Development of company-wide KPIs and coordination with stakeholders.
Microsoft Power BI.
Data analytics.
KPI definition and reporting.
Dashboard design and data visualization.
Stakeholder management and requirements management.
Sahrish K.
Last position:
Senior Consultant at MHP A Porsche Company
- Participated in project planning and solution design discussions to align business objectives with technical requirements.
- Conducted user requirements gathering, performed unit testing, and supported Conference Room Pilots (CRP) to validate system functionality.
- Implemented Oracle HCM Fusion Cloud modules, ensuring smooth deployment and alignment with client HR processes.
- Designed and developed Oracle OTBI and BI Publisher reports, dashboards, alerts, notifications, page integrations, and autocomplete rules to support business intelligence and automation.
- Worked on HCM data extracts and data migration using HCM Data Loader (HDL) and Spreadsheet Loader for efficient data handling and transformation.
- Managed and maintained project plans, developed project calendars, created change requests (CRs), and coordinated closely with consultants and clients for timely follow-ups.
- Currently acquiring hands-on experience in Oracle Policy Automation and Oracle Redwood UI to expand solution expertise.
Maxime D.
Last position:
Lead Product Manager E-invoicing & AI at fino data services GmbH
- Responsible for the concept, planning, and delivery of product development for GetMyInvoices 2.0 and its subcomponent InvoiceRails
- Independently handled all aspects of the project, including concept development, writing ticket specifications, and coordinating developers
- Created, managed, and prioritized tickets to ensure all tasks were completed on time and to a high standard
- Conducted and/or coordinated tests and ensured the proper implementation of developed features and functionality
- Worked closely with developers to clarify technical requirements and ensure implementations met specifications
- Regularly reported on project progress and documented key decisions, changes, and risks
- Took the lead on all topics related to e-invoicing and Peppol, especially regarding the InvoiceRails component
- Provided internal guidance and shared knowledge about e-invoicing and Peppol with other teams and departments
- Tracked market trends and new developments in e-invoicing and Peppol to continuously adapt the product strategy
- Ensured the products’ long-term scalability and adaptability to future technological and legal changes in e-invoicing
Discover over 15,000 top freelancers
Statistics of experts using Business Intelligence
Aggregated from the professional profiles of matched freelancers.
Experience
19 years

Position duration
2 years (Germany: 3 years)

Positions per freelancer
12 (Germany: 11)

Top business areas
Information Technology, Business Intelligence, Project Management

Top industries
Information Technology, Banking and Finance, Professional Services

Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
90% (Germany: 93%)
Master's degree or higher
58% (Germany: 68%)
Doctorate
6% (Germany: 8%)

Certifications per freelancer
4 (Germany: 3)

Most common languages
German, English, French

Speak two or more languages
98%
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 Business Intelligence
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.
Business Intelligence 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 (78%)
- Banking and Finance (55%)
- Professional Services (53%)
- Manufacturing (42%)
- Automotive (38%)
- Healthcare (37%)
- Retail (36%)
- Telecommunication (30%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Business Intelligence covers
Business Intelligence (BI) turns operational data into information that teams can use. Experts connect sources, structure metrics and present performance through dashboards, reports and self-service analysis. The work supports finance, sales, supply chain, customer service and executive planning.
Typical deliverables
BI work can support a single reporting need or a company-wide information layer. Common deliverables include:
- Executive and operational dashboards
- KPI definitions and reporting standards
- Data models for reliable analysis
- Automated reports and scheduled distribution
- Self-service analytics for business teams
Tools and ecosystem
The ecosystem includes Power BI, Tableau, Qlik and Looker, alongside SQL databases, cloud warehouses and lakehouse systems. Strong specialists understand dimensional modelling, semantic layers, data quality and access controls. They may also work with dbt, Python, Azure, AWS or Google Cloud when the reporting layer depends on broader data engineering.
When companies need expertise
Companies often bring in freelance BI expertise during a reporting redesign, a warehouse migration or a merger that creates inconsistent metrics. External support is also useful when internal teams need a focused delivery partner for a dashboard rollout or a governed self-service model. In Frankfurt, projects may require collaboration with local finance, manufacturing, logistics or financial services teams while keeping remote work practical.
What strong professionals deliver
Quality starts with business understanding, not visual polish. Strong professionals clarify decisions, define metrics with stakeholders and trace each figure back to a credible source. They build dashboards that load quickly, explain exceptions clearly and remain maintainable after handover. They also document assumptions, permissions and refresh dependencies.
Choosing the right specialist
Look for evidence of work with data volumes, sources and decision processes similar to yours. Ask how the specialist handles conflicting KPI definitions, incomplete data and adoption by non-technical users. A good fit combines SQL and modelling skills with clear communication, structured testing and the ability to explain findings in the language your teams use. For Frankfurt-based collaboration, confirm availability for on-site workshops and the language expectations of business stakeholders.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Business Intelligence.
Business Intelligence is used to turn data from systems such as ERP, CRM and finance software into reports, dashboards and decision support. It helps teams monitor performance, identify trends, investigate exceptions and plan actions from a shared view of the facts.
Business Intelligence usually focuses on repeatable reporting, trusted metrics and accessible dashboards for business decisions. Data analytics can include deeper statistical or predictive work, while operational reporting often serves a narrower process and a more immediate status check.
A strong Business Intelligence specialist often combines SQL, data modelling and dashboard design with knowledge of warehouses, APIs and data quality. Experience with Power BI, Tableau, Qlik, Looker, dbt or cloud data services can matter when the reporting layer spans several systems.
The right level of Business Intelligence experience depends on scope, data complexity and the number of teams involved. A focused dashboard may need a specialist who can work independently through discovery, modelling and validation, while a governed enterprise rollout calls for experience with architecture, permissions, documentation and change management.
Business Intelligence work is often suitable for remote collaboration because requirements, models and dashboards can be reviewed online. Frankfurt-based teams may still benefit from on-site workshops for stakeholder interviews, metric alignment and training, especially when several business units need to agree on definitions.
For Business Intelligence, review comparable dashboard or reporting work rather than screenshots alone. Ask how the specialist validates source data, resolves conflicting definitions, controls access and documents the model so another team can maintain it.
Business Intelligence projects commonly use Power BI, Tableau, Qlik or Looker with SQL databases, cloud warehouses and lakehouse platforms. The best choice depends on existing systems, governance needs, user skills, licensing constraints and how much self-service access the organisation wants.
A credible Business Intelligence professional can explain the decisions a dashboard supports, the lineage behind its metrics and the tests used to confirm accuracy. Clear documentation, sensible performance choices, accessible layouts and positive handover practices are stronger signals than visual complexity.
The average hourly rate of freelancers in Frankfurt, Germany who have used Business Intelligence in their recent projects is 104 €, which corresponds to a daily rate of about 832 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Business Intelligence in their recent projects, 90% hold at least a Bachelor's degree, 58% hold at least a Master's degree, and 6% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used Business Intelligence in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Frankfurt, Germany who have used Business Intelligence in their recent projects are German (100%), English (98%), and French (23%).
The most common industries among freelancers in Frankfurt, Germany who have used Business Intelligence in their recent projects are Information Technology (78%), Banking and Finance (55%), and Professional Services (53%).
The most common business areas among freelancers in Frankfurt, Germany who have used Business Intelligence in their recent projects are Information Technology (86%), Business Intelligence (78%), and Project Management (76%).
Main locations of FRATCH Experts, who have recently used Business Intelligence
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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