Business Intelligence Experts
to turn complex data into decisions, matched in minutes with the power of AIHire experts who design reporting systems, build Power BI and Tableau dashboards, and connect data warehouses to reliable performance insights. FRATCH matches you quickly and precisely with vetted, available freelance professionals.
Meet FRATCH Experts who have recently used Business Intelligence
William N.
Last position:
Power BI Solutions Architect/Engineer & AI Consultant at AVERDUNG GmbH
- Redesign of the company’s BI infrastructure: replacement of a fragmented landscape of manually maintained Excel solutions and CSV imports with a centralized Power BI environment using a unified data model as the company-wide single source of truth
- Consolidation of previously isolated reporting logic in a central semantic model – elimination of redundant files, manual data transfers and inconsistent metrics across departments
- Forecasting & Planning: Design and implementation of company-wide liquidity planning in Power BI – from business logic to a fully automated, data-source-driven planning model replacing the previous manual Excel process; enabling rolling forecasts and continuously up-to-date cash flow transparency for management
- Optimization of existing Power BI dashboards in terms of performance, structure and analytical value using an AI-native approach
- Analysis and improvement of the data model, including data quality analyses, data cleansing and consistent modeling using Star Schema, DAX and Power Query
- Incident & Anomaly Analysis: Identification, investigation and explanation of data anomalies, including root-cause analysis and specific recommendations for action
- AI Solution Architecture: Connecting Business Central and Power BI to LangDock via MCP (Model Context Protocol) for AI-supported data usage
- Development of a historical data layer as a basis for trend and time-series analyses
- AI-supported automation: Design and development of AI skills, agents, loops and processes for the automated analysis and interpretation of reports
- Automated reporting workflow: Setup of scheduled, automated email delivery of AI-generated analyses and recommendations to stakeholders
- Gathering and documentation of business requirements and coordination with business departments and IT as part of requirements engineering / product owner activities
- Breaking down overall requirements into clearly defined work packages and tasks
- Definition, prioritization and management of milestones throughout the entire project lifecycle
Tools: POWER BI, M365, Copilot Studio, MIRO, Microsoft Business Central, Microsoft Fabric, Claude AI, ChatGPT, LangDock, MS VS Code
André G.
Last position:
Financial Reporting Consultant at Client anonymized (services sector)
Financial reporting as an MVP. Follow-up assignment.
- Reports on profit and loss, balance sheet and cash flow
- Budget and personnel metrics (FTE)
- Implementation as an MVP with a fixed scope
Jörg K.
Last position:
Exec. Coach / Consultant / Agilist at HASOMED GmbH
Fixed a broken “ScrumBan” process, then established a pure Kanban system; increased output in the Kanban flow by 22 % in four weeks
Increased team autonomy and decision-making ability by implementing new decision-making strategies, resulting in up to 25 % better outcomes
Redesigned retrospectives (including through one-on-one coaching and workshops), leading to consistent implementation of the resulting action items
Intensive coaching of Product Owners (POs) to develop and promote “Empowered Teams,” alongside leadership development to provide a realistic perspective (“disillusionment”) on agile frameworks and methods
Supported change management processes to promote an agile company culture among management and teams, while improving internal communication to increase transparency and effectiveness in agile processes
Alwin G.
Last position:
IT Interim Manager & AI Strategist
- Founder of CheironX: AI-supported GRC management (ISO 27001, BSI IT-Grundschutz, TISAX, DORA)
- Strategic focus on Agentic AI and GenAI for modern IT Governance, Risk & Compliance Management
- IT interim management and strategic consulting
Tobias S W.
Last position:
CEO & Fouder at Wittbix
Sven L.
Last position:
Project Controller at Iqony
- Acting as project controller for the STEAM sub-project within Iqony's long-term modernisation programme for an industrial water demineralisation plant at the BP refinery site in Gelsenkirchen-Scholven alongside the parallel WATER sub-project
- Managing cost control, SAP PS data integrity and project tracking in a challenging data environment
Dany-Armand D.
Last position:
Senior Data Scientist at ibg NDT GmbH
- Investigate the relationship between Eddy Current Testing (ECT) signals and microstructural properties
- Detect latent patterns in ECT data that reflect intrinsic material characteristics
- Develop and validate predictive models for microstructural classification and quantification, using hardness and case depth as benchmarks
- Apply Bayesian Structural Equation Modeling for advanced data analysis
Hannah K.
Last position:
Instructor, AI Fundamentals for the Digital Workplace at grandedu
- Instructor for an AZAV-certified AI training program for working professionals; designed in February 2026, with five cohorts each running for one month from March 2026
- Designed and created all modules and learning materials
- Topics: AI fundamentals, prompting, use cases in communication, analysis, and processes, agents and workflows, the EU AI Act, and GDPR
- Taught small groups of 3 to 9 participants from different professional fields and levels of seniority
- Provided individual learning support throughout each course
- Result: completed five cohorts with around 500 hours of live instruction
Carl-Friedrich L.
Last position:
Rollout Project Manager / Multi-project Management / Project Lead / Program Manager at GlasfaserPlus
Project content / Description of services:
Management and coordination of all new-build areas in the assigned region to ensure completion on time
Responsibility for network planning, budget calculation, and budget approval for optimal resource planning in the construction process
Cross-project management of service providers for the efficient implementation of joint construction or connection of new-build areas
Preparation, tendering, and awarding of contracts within budget limits
Ensuring material supply for smooth joint construction
Management of fiber-optic expansion and provision of data lines; densification
Stakeholder management
Introduction and setup of Kanban board, including maintenance
End-to-end rollout management
Escalation management
Service provider management
Construction monitoring and management of construction schedules
Preparation and tracking of project plans and Gantt charts
Risk management
Claim management and project recalculations
Problem and incident management
Change management
Capex and Opex control and monitoring
Contract management and change order management
Conclusion of lease, purchase, or rental agreements for the development of required properties or lines
Technical collaboration with construction managers and service providers within the construction projects to ensure the timely completion of new-build areas
Definition of requirements, categorization, and prioritization, including monitoring and follow-up in accordance with the project plan
Preparation and delivery of presentations for various management levels
Preparation and creation of decision papers
Forecast
Establishment of project “back to green” post-installation and densification
Environment: MS Office, MS Teams, SAP; SharePoint, Jira, Confluence, Bizagi. GBGS, PowerBI, TKI, Flash Kanban
Jörg T.
Last position:
Consultant, Requirements Engineer and Database Expert
Project – Evaluation and development of databases for a new product line for a measuring equipment manufacturer
- Current-state analysis
- Requirements analysis of the data storage layer
- Writing benchmark tests
- Design of the new database schema
- Database migrations
- Development of audit logging and Part11
- Creation of backup and recovery concepts
- Design of the persistence layer API
- Writing unit tests
- Creating requirements in Azure
Tools: C#, Visual Studio 2022, Azure DevOps, SonarQube, Git, RestSharp, WebServer, PostgreSQL, MS SQL, SQLite, MinIO, Podman, Docker, DataGrip, SQL Management Studio, HeidiDB, pgAdmin
Martin M.
Last position:
Requirements Engineer at MCM Modern Engineering UG HB
- Analyze the current process
- Develop the target processes
- Support implementation of improvements in an SAP-enabled program
- Simplify customer contact
- Streamline internal processes through automated, real-time checks for relevance to complaints
- Create use cases
Florian R.
Last position:
Global Program Lead, Post-Acquisition Integration at [Client confidential]
Medical technology – Digital Technology | Medical imaging
- Integrated the acquired platform into clinical medical imaging processes, with an investment volume in the low double-digit m€ range
- Ensured interoperability of systems and processes across hospitals and outpatient facilities while customer operations continued; HL7, DICOM, Amazon S3 & Redshift, SharePoint, JIRA
- Led the programme across functions with product, technology and service teams, including cost control, synergy tracking and identification of further AI use cases in medical imaging
Fadi S.
Last position:
Data Scientist at E-Commerce
- Designed and developed a production-ready data platform based on Microsoft Fabric for an e-commerce company
- Built a scalable Medallion Architecture (Bronze, Silver, Gold) with Lakehouse and Delta Lake as the foundation for analytics and AI applications
- Developed a metadata-driven ETL platform with PySpark and a generic Incremental Loading Framework (SQL Server → Bronze → Silver → Gold)
- Developed reusable components for Microsoft Fabric Notebooks to standardize data integration, transformation, and validation
- Implemented automated data pipelines including monitoring, logging, error handling, and Delta MERGE strategies for stable production operations
- Built a business layer architecture for reporting, data warehousing, and reusable data products
- Integrated heterogeneous data sources via SQL Server, REST APIs, Amazon SP API, and Google Analytics 4
- Worked closely with business departments to analyze business requirements and translate them into scalable data architectures
Technologies: Microsoft Fabric, PySpark, Python, SQL Server, Delta Lake, Lakehouse, OneLake, Data Factory, Data Warehouse, REST APIs, Amazon SP-API, Google Analytics 4
Loic N.
Last position:
Senior System Engineer at AG Solution
- Create and lead roadmap forecasting of support opportunities, including colleague training, process design and improvement, and new hire onboarding.
- Collaborate seamlessly with cross-functional teams including Professional Services, Support, Product, Sales, and Solution Engineering.
- Manage business and financial KPIs in alignment with overall business objectives.
- Industrial IT & Data Integration: Implement, configure, and integrate OT/IT systems and data flows, connecting control-layer sources (DCS, PLC, SCADA) to historians, data platforms, and enterprise systems through APIs and standard interfaces.
- AVEVA PI & Historian: Configure, maintain, and extend AVEVA PI (PI Data Archive, Asset Framework, interfaces/connectors) to capture, contextualize, and serve real-time and historical operational data.
- Alarm Management: Support and optimize alarm management systems – e.g. Honeywell Alarm Management – including alarm rationalization, classification, and the analysis of alarm performance, critical alarms, and alarm floods.
- Connectivity & Protocols: Set up and troubleshoot industrial connectivity using OPC UA and OPC A&E, including the configuration of tunnelers / wrappers to bridge OT data sources securely and reliably.
- Production Data Flow: Ensure seamless, secure, and well-structured data flow across the industrial IT landscape, transforming raw operational data into meaningful information for operations and decision-making.
- System Support & Troubleshooting: Provide ongoing support for OT/IT applications, troubleshooting issues across networks, software, and data integrations to keep systems running efficiently.
- Knowledge Management & Best Practices: Contribute to internal documentation, best practices, and troubleshooting guides, and help continuously improve how we deliver industrial IT and data solutions.
Tools & Software: Aveva PI, Salesforce, Active Directory, Microsoft Dynamics 365, Jira, Microsoft, Scrum, DevOps, Docker, CI/CD, Jenkins, GitHub.
Michael S.
Last position:
Data Analyst, Data Scientist at CompuGroup Medical Deutschland AG, docmetric GmbH
Development of AI and traditional models to analyze medical and patient data, including medication analyses, diagnosis analyses, forecasts, procedure analyses, dosage analyses, comorbidity analyses, prescription analyses, patient potential analyses, referral profile analyses, and prescription analyses. Analyses in the field of Real World Evidence.
Healthcare IT, pharmaceutical industry
Tasks, responsibilities:
- Gathering customer requirements
- Planning the subproject
- Designing and defining KPIs
- Designing and developing models and visualizations of results using customer dashboards
- Developing and implementing data warehouse adaptations
- Deriving recommendations for action
Methods, technologies:
- Simulation
- Artificial intelligence
- Python
- R
- SQL
- Microsoft Power BI
- Amazon Web Services
- Elasticsearch
- PostgreSQL
- Databricks
- Multivariate statistics
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
3 years
Positions per freelancer
11
Top business areas
Information Technology, Business Intelligence, Project Management
Top industries
Information Technology, Professional Services, Manufacturing
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
93%
Master's degree or higher
68%
Doctorate
8%
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
98%
Based on our profile pool as of 5 Nov 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology 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 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 5 Nov 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 (75%)
- Professional Services (57%)
- Manufacturing (45%)
- Banking and Finance (40%)
- Automotive (38%)
- Retail (34%)
- Education (27%)
- Healthcare (27%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Business Intelligence covers
Business Intelligence, often called BI, turns operational data into clear information for planning and action. It combines data collection, transformation, analysis, reporting and visualisation so teams can understand performance without relying on disconnected spreadsheets. BI solutions support finance, sales, marketing, supply chain, operations and executive reporting.
Typical deliverables
BI work can range from a focused dashboard to a complete analytics environment. Common deliverables include:
- KPI dashboards for management and operational teams
- Data models that combine systems such as CRM, ERP and finance tools
- Automated reports with governed definitions and scheduled refreshes
- Self-service analytics for business users
- Forecasting views and trend analysis for planning
Tools and ecosystem
Professionals may work with Power BI, Tableau, Qlik Sense, Looker or MicroStrategy, depending on the company’s existing stack. Their work often includes SQL, dimensional modelling, data warehouses, ETL or ELT pipelines and cloud services such as Microsoft Fabric, Azure, Snowflake, BigQuery or Amazon Redshift. Strong specialists understand both the visual layer and the data foundations behind it.
When companies need specialists
Freelance expertise is useful when internal teams need a reporting environment delivered without delaying core operations. Typical triggers include a migration from spreadsheets, inconsistent KPI definitions, a new data warehouse, a merger of reporting systems or a need to make dashboards reliable and easier to maintain. Specialists can audit the current setup, define a practical roadmap and deliver the highest-value reports first.
What strong professionals bring
The best BI professionals connect business questions with sound technical choices. They clarify definitions, validate source data, design models that remain understandable and build visualisations that support decisions rather than distract from them. They also document measures, permissions, refresh logic and ownership so teams can operate the solution after handover.
Collaboration and project fit
A successful engagement starts with access to source systems, clear stakeholders and agreement on the decisions the reports must support. Remote work is common, but workshops with data owners and subject-matter experts may need planned collaboration across time zones. Before hiring, review comparable dashboards, ask how data quality was handled and confirm that the specialist can explain complex findings in plain language.
Frequently asked questions
Everything clients usually want to know about Business Intelligence, in one place.
Business Intelligence is used to turn data from business systems into reports, dashboards and analysis. Companies use BI to monitor performance, identify trends, investigate issues and support decisions across areas such as finance, sales, operations and supply chain.
Business Intelligence usually focuses on governed reporting, recurring metrics and visibility into current or historical performance. Data analytics can cover a wider range of work, including statistical analysis, experimentation, predictive modelling and advanced exploration.
A strong Business Intelligence specialist may work with Power BI, Tableau, Qlik Sense, Looker or MicroStrategy. The most useful tool depends on the existing environment, while adjacent skills such as SQL, data modelling, ETL, cloud warehouses and access management are often just as important.
The right level depends on the scope and risk of the project. A focused dashboard may need a specialist who can model data and align stakeholders, while a company-wide reporting environment calls for experience with warehouse design, governance, security, performance and adoption.
Yes, Business Intelligence work is often completed remotely when secure access, documentation and regular stakeholder sessions are available. On-site workshops can still help when source systems are poorly documented or many teams must agree on KPI definitions.
Look for evidence of clear data models, trustworthy metric definitions and dashboards built around real decisions. Ask a Business Intelligence specialist to explain how they validate source data, manage refresh failures, document logic and measure whether reports are actually useful.
Business Intelligence can replace many recurring spreadsheet processes, especially when data comes from several systems or reports need controlled access. It does not remove every need for spreadsheets, but it creates a more reliable foundation for shared metrics, automated refreshes and repeatable analysis.
Define the decisions, users and business questions the reporting must support, then list the relevant source systems and known data issues. A Business Intelligence professional can move faster when stakeholders, access requirements, KPI definitions and expected handover responsibilities are clear.
The average hourly rate of freelancers who have used Business Intelligence in their recent projects is 105 €, which corresponds to a daily rate of about 844 € based on an 8-hour working day.
Of the freelancers who have used Business Intelligence in their recent projects, 93% hold at least a Bachelor's degree, 68% hold at least a Master's degree, and 8% hold a doctorate.
On average, freelancers who have used Business Intelligence in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 3 years.
The most common languages among freelancers who have used Business Intelligence in their recent projects are German (99%), English (97%), and French (21%).
The most common industries among freelancers who have used Business Intelligence in their recent projects are Information Technology (75%), Professional Services (57%), and Manufacturing (45%).
The most common business areas among freelancers who have used Business Intelligence in their recent projects are Information Technology (83%), Business Intelligence (77%), and Project Management (71%).
Main locations of FRATCH Experts, who have recently used Business Intelligence
Our freelancers and interim experts are at home all over Germany — available on-site in Berlin, Hamburg, Munich and every major business hub, or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.
Berlin 
Hamburg 
Munich 
Cologne 
Frankfurt 
Stuttgart 
Dusseldorf 
Dortmund 
Essen 
Hanover 
Nuremberg 
Vienna 
Zurich Countries:
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FRATCH CEO
