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Business Intelligence Experts in Frankfurt

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Hire experts who turn data into dashboards, reporting layers, and KPI models for Power BI, Tableau, and Looker, with fast, precise matching of vetted, available freelancers.

Meet FRATCH Experts in Frankfurt, who have recently used Business Intelligence

Verified expert

Umut Gülac

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Freelancer

Frankfurt
Umut Gülac

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.
Verified expert

Justina Kmiecik

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Data Management & Governance Manager

Oberursel
Justina Kmiecik

Last position:

Freelance Consultant for Change & Data Transformation at Freelance Fast Data Consulting

Project, Strategic Consulting – building the Data Strategy and Data Governance Policy for the German branch, client (private bank Julius Bär, headquarters Zurich), March 2026 – present

  • Design and negotiation of the data strategy with key stakeholders, including obtaining board sign-off (strategic consulting) – in this context, regulatory advice on data regulations in the EU and specifically for Germany. The data strategy includes: Data Lifecycle Management: data capture, data storage, data usage, data retention policy, data quality incident management
  • Definition of milestones and technical feasibility for implementing TOM for the data strategy, data quality checks, metrics, and a metadata inventory to ensure the bank’s compliance with DORA, BCBS239, and MaRisk requirements.

Core project data change, client: (ING Bank, Frankfurt am Main), March – December 2025

  • Concept development and solution design for new end-to-end processes including technical interfaces
  • Definition of synchronization logic and data flows between legacy and target systems (decommissioning of legacy systems)
  • Analysis and validation of data models
  • Stakeholder communication with product owners, feature engineers, UX designers, and operational teams for decision-making
  • Analytics and impact assessments, e.g. to assess downstream effects and regulatory requirements
  • Documentation and comments on technical and business requirements to support implementation in agile squads

Project digitalization of a user group, client: (ING Bank, Frankfurt am Main), as Interim Product Owner, Jan 2025 – present

  • Co-shaping key decisions on data architecture and process logic in the context of historized data and user login functionality
  • Development of business solution concepts for migration to the target system, including system integration and data flows
  • Support with analytics and impact analyses, especially regarding the ability to provide information to law enforcement authorities
  • Active coordination with stakeholders from different squads to support decision-making and ensure regulatory requirements are met
  • Creation of test scenarios for operational teams and backend systems in the area of API management using Postman and Bruno.
Verified expert

Steffen Eschinger

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Stream Lead, Consultant FI, CO, MM, SD

Frankfurt am Main
Steffen Eschinger

Last position:

Domain Lead FI, CO, HR, Investor Relations at Douglas Group

  • Process Owner SAP ERP 8 FI, CO & Investor Relations
  • Process Owner SAP Success Factors
  • Responsible for 4 teams, 39 FTE
  • Full responsibility for end-to-end processes in SAP for Finance, Controlling, HR, Investor Relations
  • Interface to certified public accountants for Finance IT (KPMG)
  • ITIL-4 implementation for service request change request and project management with Service Now (Project Manager)
Verified expert

Ulrike Wolter

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Interim HR Business Partner

Eschborn
Ulrike Wolter

Last position:

Interim HR Business Partner at Industrial Company

Verified expert

Parthiban Mohanraj

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Quality Assurance Engineer

Bad Homburg vor der Höhe
Parthiban Mohanraj

Last position:

Quality Assurance Engineer at Hanon Systems GmbH

  • Define the QA strategy and plan for the above mentioned OEMs project.

  • Identify applicable processes, methods, and standards to be followed (eg, GS_95014, KGAS, ISO/IEC 15504, ISO 26262, ISO 21434, etc.).

  • Plan reviews, audits, and assessments as per the strategy.

  • Check whether the project follows defined processes (System, software, mechanical, hardware, testing, change, configuration, problem, risk etc.) as per strategy.

  • Provide QA support to software process: software requirement analysis, software architectural design, software detailed design and unit construction, software unit verification, software component verification and integration verification, software verification processes.

  • Monitor compliance with organization-wide and project-specific standards.

  • Verify that deviations are documented and escalated.

  • Review work products (requirements, design docs, test cases, code, reports (MISRA, C0, C1, coding standards), etc.).

  • Check compliance with standards, templates, and checklists.

  • Ensure that bi-directional traceability exists (e.g., requirements ↔ design ↔ tests).

  • Give objective evidence (not influenced by delivery pressure) during assessments.

  • Identify non-conformances (process not followed, missing approvals, wrong standard).

  • Report deviations and track them until closure.

  • Verify that corrective actions are implemented (5why, Ishikawa, 8D, FMEA, FTA, DFM, DRP, PCC, LLBP, PDCA).

  • Provide QA status reports to management and project stakeholders.

  • Highlight risks related to process non-compliance.

  • Deliver objective evidence for assessments/audits (e.g., ASPICE, ISO/IEC 15504, ISO 26262, ISO 21434, ISO_PAS_8800).

  • Collect and analyze QA findings.

  • Suggest process improvements.

  • Support lessons learned activities.

  • Achieved ASPICE Level 1 and Level 2 for multiple Audi and Mercedes-Benz projects assessments.

Verified expert

Torsten Feix

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Data Analyst, Requirements Manager

Dreieich
Torsten Feix

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 client-defined requirements for existing reporting and new dashboards.

  • Supporting stakeholders in managing sales processes and early detection of KPI trends.

  • Use of Microsoft Power BI as central analysis and reporting platform.

  • Developing a proposal for the necessary evolution of processes and the Power BI platform.

  • Gathering current business processes and defining company-wide KPIs in coordination with stakeholders.

  • Analysis and inventory of the client's Power BI platform.

  • Analysis of processes and data governance.

  • Recording and documenting current business processes.

  • Developing recommendations for process and reporting platform improvements.

  • Designing and implementing dashboards in Power BI.

  • Defining company-wide KPIs and aligning them with stakeholders.

  • Microsoft Power BI.

  • Data analytics.

  • KPI definition and reporting.

  • Dashboard design and data visualization.

  • Stakeholder management and requirements management.

Verified expert

Maxime Djongoue

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Lead Product Manager E-invoicing & AI

Frankfurt am Main
Maxime Djongoue

Last position:

Lead Product Manager E-invoicing & AI at fino data services GmbH

  • Responsible for the concept, planning, and implementation of the product development of GetMyInvoices 2.0 and the subcomponent InvoiceRails
  • Independent work on all aspects of the project, including concept, specification in tickets, and coordination of developers
  • Creation, management, and prioritization of tickets to ensure all tasks are completed on time and with high quality
  • Carrying out and/or coordinating tests and ensuring the proper implementation of the developed features and functionalities
  • Close collaboration with developers to clarify technical requirements and ensure the implementations match the specifications
  • Regular reporting on project progress and documentation of key decisions, changes, and risks
  • Taking on the subject matter lead for all topics around e-invoicing and Peppol, especially in relation to the InvoiceRails component
  • Internal consulting and knowledge sharing on e-invoicing and Peppol for other teams and departments
  • Tracking market trends and new developments in e-invoicing and Peppol to continuously adapt the product strategy
  • Ensuring the long-term scalability and flexibility of the products for future technical and regulatory changes in the e-invoicing area
Verified expert

Anthony Mugwang'a

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CodeValdCortex - Enterprise Multi-Agent AI Orchestration Platform

Frankfurt
Anthony Mugwang'a

Last position:

CodeValdCortex - Enterprise Multi-Agent AI Orchestration Platform at Personal Project

  • Enterprise-grade multi-agent AI orchestration platform built with Go and Kubernetes for scalable, secure agent coordination in cloud-native environments.
  • Multi-agent orchestration with intelligent workload distribution and dynamic scaling.
  • Cloud-native architecture with Kubernetes deployment and horizontal auto-scaling.
  • Real-time coordination with sub-100ms agent communication using Go channels.
  • Enterprise security with zero-trust architecture, RBAC, and comprehensive audit trails.
  • Visual workflow engine with monitoring, observability, and API gateway integration.
  • Technologies: Go, Kubernetes, ArangoDB, gRPC, Prometheus, Grafana.
Verified expert

Andreas Flegel

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CRM Consultant, BI Expert, Project Manager, Coach

Wehrheim
Andreas Flegel

Last position:

CRM Consultant, BI Expert, Project Manager, Coach at start-up / dermatology and wellness products

  • Analyze business situation: stagnation of sales, small recurring customer rate, huge number of visitors but little conversion rate, average order value does not increase, no customer segmentation or targeting, performance marketing approach fails to acquire the right customer
  • Advise on sales and marketing strategies and improve operations; agile coach advice with key business strategy using Scrum and Kanban
  • Acquire key requirements and derive user stories for e-shop product owner development and customer data analysis
  • Develop comprehensive 360 degree customer data model using Shopify and Amazon; implement data feeds from more than 10 systems (Klaviyo, Typeform)
  • Develop meaningful ad-hoc data analysis detailing aspects of Triple Whale customer behavior using standard e-commerce KPIs such as AOV, Google Analytics, churn, conversion and abandoned checkout rates, ROAS, CPA, CPC; tools: SQL, Power Query
  • Derive clear and data-driven customer segmentation and targeting; ETL processes and Power BI
  • Introduce and feed new content agency with customer insights using GraphQL and Postman; improve messages, frequency, and targeted audience; Microsoft Planner
  • Provide crystal clear data proof to steer new performance marketing approach
  • Develop standard business operations reporting
Verified expert

Holger Kruse

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Independent Senior Advisor

Frankfurt am Main
Holger Kruse

Last position:

Independent Senior Advisor at Independent Management Consultant

  • Customer Value Management
  • Program & project management
  • Digital transformation
  • Business development
  • IT integration, IT processes
  • Change management
Verified expert

Tan Pham

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DevOps & Fullstack Engineer

Hanau
Tan Pham

Last position:

DevOps Engineer in the DevOps Team at Rise-World

  • Implementation of specified DevOps solutions to automate infrastructure (Terraform, Bicep, CloudFormation, Ansible) on-premises datacenter (Ovirt, Proxmox, Ceph Cluster, MinIO) and private cloud.
  • Administration, configuration and implementation of CI/CD DevOps pipelines (GitLab, GitFlow) to support development process (Artifactory, Prometheus, Istio, service mesh, Helm Chart, OpenShift (Red Hat Enterprise) / Kubernetes cluster), Red Hat Satellite.
  • Administration, setup, monitoring and patching of Linux infrastructure based on Red Hat Enterprise for Dev, Test and QA.
  • Use of Scrum and Kanban methods.
  • Administration, configuration and implementation of security standards for deploying on Dev, Test, QA and Prod stages of the new ePA applications.
  • Development of new plugins and add-ons needed on current infrastructure.
  • Database support.
  • Data analytics support (Python, Spark, Pandas, Power BI, Splunk Enterprise).
  • Implementation of best practices for DevSecOps and BizDevOps using GitOps (ArgoCD), Streamlit framework, Semaphore Ansible UI.
  • Configuration and testing of iperf, uperf, sysbench using benchmark-operator for external source data and IoT/MDM devices, creating reports via ELK / OpenSearch.
  • Building a new Databricks platform to collect and analyze big data from different sources and IoT devices into Hadoop framework (Python, Pandas, PySpark, Power BI, Apache Airflow).
  • Building backend data aggregation and processing to automate configuration deployment between different OpenShift clusters and big data framework (Python, Pandas, PySpark, Apache Spark, PostgreSQL, Django 2, Ansible Automation, Jira JSM).
  • Building a new ML pipeline platform using Kubeflow, TensorFlow, KServe.
  • Data extraction, transformation and loading from different data sources including structured and unstructured data to analytic DWH / big data cluster using Python, Pandas, Polars, Power BI, Django backend and PostgreSQL.
  • Setup of new DevOps Test and QA HashiCorp Vault cluster for PKI and IAM.
  • Configuration and testing of automated patching based on CVSS score, SIEM-integrated CVEs.
  • Use of Nexpose and InsightVM to scan vulnerability events in network, host, container and application.
  • Design and implementation of secure and scalable AWS architectures including VPC, EC2, S3, RDS and Route53 and similar setups on Azure and GCP.
  • Automated system provisioning and deployment using CloudFormation templates.
  • Configuration of IAM roles, policies and permissions to ensure secure access control.
  • Patch management, backup automation and disaster recovery setup on AWS infrastructure.
  • Monitoring and optimization of system performance using AWS CloudWatch and AWS Trusted Advisor.
  • Support of VMware services (vSphere, Aria, Horizon) and the virtual desktop environment.
  • Development and maintenance of CI/CD pipelines using Jenkins, GitLab CI/CD and AWS CodePipeline with interface to Nutanix.
  • Configuration of AWS CloudWatch to monitor application performance and system events.
  • Planning and execution of migration of on-premises applications to AWS cloud platforms.
  • Deployment of containerized applications using Docker and Kubernetes in AWS environments.
  • Deployment of internal software packages between availability zones using AWS CodeDeploy.
  • Building and deploying ML models using Scikit-learn, XGBoost and Spark MLlib including hyperparameter tuning, model evaluation and production deployment.
Verified expert

Benedikt Ruske

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Experienced Data & Business Analyst with a focus on Power BI and Business Intelligence

Bad Homburg vor der Höhe
Benedikt Ruske

Last position:

Power BI developer at Mechanical Engineering (SME 500 emp.)

  • KPI dashboards for inventory and goods received quality control & testing ETL, dataset, dataflows and report development, complex DAX solutions

Data sources: Dataverse, RDB, Excel

Tools: ETL, data modeling, data flows, Power Query, M, Power BI, complex DAX

  • Capacity: 25%
Verified expert

Vincent Rothländer

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Freelancer

Frankfurt am Main
Vincent Rothländer

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
Verified expert

Gregor Pestsov

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Engineering Data Management Project Manager

Frankfurt am Main
Gregor Pestsov

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, focusing on workflow digitization, PLM

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: 3.1 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

91% (Germany: 94%)

Master's degree or higher

55% (Germany: 65%)

Doctorate

8% (Germany: 9%)

Certifications per freelancer

4 (Germany: 3)

Most common languages

German, English, French

Speak two or more languages

97% (Germany: 98%)

Based on our profile pool as of 30 Aug 2026.

Daily rate distribution

0 10 20 30 40
<€400 €400-​800 €800-​1200 €1200+

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.

Average rates of experts in Frankfurt using Business Intelligence

Rates are based on recent contracts and do not include FRATCH margin.

1000
750
500
250
Rate comparison chart
Daily rate avg. 845 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

1000
750
500
250
Rate comparison chart
Median rate 800 €

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

BI foundations

Business Intelligence turns raw data into clear reporting, analysis, and decisions. It brings together warehouse data, metrics, and visual layers so teams can see what changed, why it changed, and where to act.

Typical deliverables

  • KPI dashboards for finance, sales, and operations
  • Management reports and self-service analytics views
  • Data models, semantic layers, and metric definitions
  • Scheduled reports and alerts for recurring decisions
  • Migration work from Excel or legacy reporting tools

Tools and stack

Strong BI specialists work across Power BI, Tableau, Looker, and Qlik Sense, often with SQL, dbt, and modern warehouses like Snowflake, BigQuery, or SQL Server. They know how to shape data for analysis, not just display it.

When to bring in help

Companies often look for freelance expertise when reports are inconsistent, key metrics do not match across teams, or a new dashboard layer needs to go live quickly. In Frankfurt, this is common in finance, logistics, trade, and enterprise reporting environments where clear numbers matter.

What strong specialists do

A strong BI specialist asks about business questions before touching visuals. They define logic carefully, document sources, and build reporting that business users can trust. They also handle permissions, refresh logic, and clean handover so the solution keeps working.

Local collaboration

Teams in Frankfurt often need both remote and on-site collaboration, especially when reporting rules are tied to internal finance or compliance processes. The best freelancers can work with business stakeholders in English and, when needed, in German, while keeping delivery precise and practical.

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Frequently asked questions

The facts hiring teams ask for most often when it comes to Business Intelligence.

Business Intelligence covers the systems and reporting layer that turns operational data into decisions. It usually includes dashboards, scheduled reports, KPI definitions, and the SQL logic behind them. In practice, it connects source systems to a clear view for business teams.

A company usually brings in a Business Intelligence freelancer when work is urgent, the current setup needs a reset, or internal capacity is tied up elsewhere. Freelance specialists are useful for dashboard rebuilds, metric alignment, warehouse-to-report work, and short, focused delivery. They can also help when a team needs outside structure for a new reporting layer.

Business Intelligence is about trusted reporting, performance tracking, and decision support. Data analytics often goes deeper into ad hoc exploration, while data science focuses more on prediction and modelling. Many projects need BI first, because the metrics and data model must be solid before advanced analysis makes sense.

A strong Business Intelligence specialist often works with Power BI, Tableau, Looker, Qlik Sense, SQL, and data warehouse tools. Data modelling, ETL or ELT understanding, and dashboard design are just as important as the visual layer. Good specialists also know how to define measures clearly and avoid misleading charts.

A Business Intelligence project can be simple or complex, but it usually needs someone who has already delivered end-to-end reporting work. If the task involves multiple source systems, many business rules, or a migration from Excel-based reporting, look for a specialist with hands-on delivery across modelling and visuals. For a small dashboard update, a narrower skill set may be enough.

Yes, most Business Intelligence work can be done remotely if access to data, stakeholders, and documentation is set up well. Frankfurt projects often blend remote delivery with a few on-site workshops for requirements, review sessions, or sign-off. That mix works well when business rules are detailed or multiple teams must agree on the same metrics.

A good Business Intelligence specialist does more than make dashboards look clean. Check whether they can explain metric logic, source dependencies, refresh handling, and the reason behind each visual choice. You want someone who builds reports that are understandable, maintainable, and trusted by the people who use them.

Business Intelligence is the broader discipline, while Power BI and Tableau are specific tools inside it. If the need is reporting strategy, metric design, or data modelling, hire for BI expertise first. If the scope is mainly a tool implementation, make sure the specialist has deep experience in that specific stack.

The average hourly rate of freelancers in Frankfurt, Germany who have used Business Intelligence in their recent projects is 106 €, which corresponds to a daily rate of about 845 € based on an 8-hour working day.

Of the freelancers in Frankfurt, Germany who have used Business Intelligence in their recent projects, 91% hold at least a Bachelor's degree, 55% hold at least a Master's degree, and 8% 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 (97%), and French (22%).

The most common industries among freelancers in Frankfurt, Germany who have used Business Intelligence in their recent projects are Information Technology (80%), Banking and Finance (54%), 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 (87%), Business Intelligence (83%), and Project Management (74%).

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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