
Business Intelligence Experts in Nuremberg
matched in minutes by AIHire experts who connect data sources, design Power BI and Tableau dashboards, and build reliable reporting models for finance, sales, operations, and management. FRATCH matches you quickly and precisely with vetted, available freelancers who fit your project.
Meet FRATCH Experts in Nuremberg, who have recently used Business Intelligence
Eric F.
Last position:
Freelance project and engineering services at ETF
Highly qualified engineering services such as engineering, project and quality management, planning and control.
- Fast deployment and flexible models
- Results-oriented teamwork
- Accelerating projects, creating added value
- Technical experience and business management expertise
- Data analysis and specialized services.
Results: Excellence, reliability and efficiency.
Johannes M.
Last position:
Partner | M&A Advisory & Digital Process Development at Dr. Stumpf Consulting / PS Consulting GmbH
- Hands-on support for mid-market M&A projects: company analysis, client briefings and information memoranda
- Set up structured project, data room and documentation processes, and prepared decision-making materials
- Designed and built the company website using AWS, and set up tracking and retargeting
- Practical use of AI applications and coding agents for research, analysis, documentation and software development
Oleg O.
Last position:
Senior Software Developer / BI Integration Developer Power BI, C# at Telecommunications
Embedded Analytics & AI-assisted BI
Design and development of an integrated analytics solution based on ASP.NET Core, Power BI Embedded, and LLM services to provide context-based business information.
Development of an AI agent with Function/Tool Calling for the secure orchestration of REST APIs, SQL data sources, and technical services within defined business processes.
Building automated BI workflows including workspace management, deployment processes, and scheduled refresh via the Power BI REST API.
Implementation of secure service-to-service communication with Microsoft Entra ID and Service Principal, and integration into existing enterprise system landscapes.
Technologies: ASP.NET Core, C#/.NET, Power BI Embedded, Power BI REST API, LLM API, AI Agents, Function/Tool Calling, Entra ID
Jan M.
Last position:
Managing Director at Nexcent GmbH
- IT consulting
- Power Platform & Databricks
- AI software development (custom software)
- Commercial responsibility for the company
Andreas G.
Last position:
Senior Strategy Advisor Workstream Enablement at DATEV EG
- Designed a Target Operating Model (including strategic mid-term planning and operational staffing) for the product workstream restructuring and capacity management process to increase development efficiency, employee retention and profitability
- Integrated targeted incentives such as budget guidelines, contribution margin accounting and incentives into the Operating Model
Elnazossadat H.
Last position:
Data Analyst at Siemens Healthineers
- Developed KPI dashboards using Power BI and DAX for 4+ business units, improving reporting transparency and strategic decision support.
- Migrated enterprise finance data views into dbt models, implementing modular SQL transformations, version-controlled data pipelines, and automated documentation to create a scalable analytics layer.
- Built dimensional data models in Snowflake for enterprise finance data, enabling scalable forecasting and supporting executive decision-making.
- Designed end-to-end ETL/ELT pipelines using Snowflake and SAP HANA, integrating data from 3+ enterprise systems.
- Automated monthly reporting workflows using SQL and Power BI, delivering strong business impact by reducing manual effort by 80%.
- Collaborated with finance stakeholders to translate business requirements into analytical data models, supporting strategic decision-making cycles.
- Delivered ad-hoc financial reports using Power BI, reducing turnaround time by 60%.
- Implemented data validation logic in SQL, resolving 95% of recurring data quality issues.
Imane H.
Last position:
Assistant Manager People insights/Intelligence at adidas HQ
- Collected, analysed, and interpreted HR data from multiple systems
- Conducted ad-hoc people data analyses for stakeholders
- Supported Employee Listening and ensured actionable survey insights
- Built intuitive dashboards and visualizations in SuccessFactors, PowerBI, and Qualtrics
- Produced regular reports and dashboards on key HR metrics
- Contributed to people analytics projects as a junior team member
- Collaborated with HR Tech and Data teams to improve data quality
- Ensured ethical and governed data use with Legal, Data Privacy, Labour Relations and Works Council
Pawan S.
Last position:
CAPTCHA Recognition using CRNN
- Built a CRNN model with VGG16 and BiLSTM backbone for text-based CAPTCHA recognition
- Achieved 9.37% character error rate and 68.36% sequence accuracy on validation data
- Expanded data augmentation pipeline with distortions, noise injection, and clutter to improve robustness
- Conducted detailed error analysis on confusable characters (O, Q, D) and proposed error-specific augmentation
- Tech Stack: Python, TensorFlow/Keras, OpenCV, NumPy, Matplotlib
Michael S.
Last position:
Senior Project Lead & Technical Product Manager - Digital enabled services at Siemens Healthineers AG
- Acting as the program lead for digital enabled services overseeing projects like Transformation, remote scanning (WeScan), e-commerce, OneGate (budget: ~5mio€/p.a.).
- Develop the transformational strategy & roadmap for a supply & demand platform on ServiceNow, driving harmonization & integration of legacy systems.
- Led cross-functional teams for design and rollout of these digital business models on ServiceNow backend platform.
- Enabled strategic decision-making by combining Azure DevOps transparency structures including using Agile methods like PI Planning, WSJF priorization.
- Acting as the business demand manager & digital counterpart for CS CRM.
- Responsible for the internal project organization & external partners as well as organizational interfaces & dependencies to other departments.
- RFP execution & manage vendors in accordance with contracts and internal requirements.
- Contributed to Project sucCeSs, Northstar and being part of the RaaS Tiger Team & Spryker Customer Advisory Board.
Benjamin S.
Last position:
CRM strategy & requirements analysis for marketing campaigns in the automotive sector at AUDI AG
- Development of strategies, processes and system requirements to further develop the lead and campaign streams of a Salesforce system for the subsystems Sales Cloud, Marketing Cloud and Analytics Cloud
- Gathering and creation of marketing strategy concepts for direct sales, focusing on lead generation for new and existing customers
- Analysis and optimization of existing and new contact points
- Derivation of system requirements and user tests for new developments
- Establishment of a requirements and implementation process for business needs at the interface between CRM strategy and marketing system operations
- Facilitation of ideation workshops with the project's stakeholders
- Mediation between business and technical project stakeholders
- Analysis and post-documentation of existing marketing strategies and the system functions already created for them
- Analysis of target groups and pre-system data quality as a foundation for new CRM strategies
- Consultation on content and asset strategy for marketing campaigns
- Definition of KPIs and other performance criteria for the system and CRM strategy
Amir A.
Last position:
Master's Thesis at Friedrich-Alexander University
- Analysis of the role of marriage as an informal insurance in Germany using econometric methods (supervisor: Prof. Dr. Harald Tauchmann).
- Prepared and cleaned multiple panel datasets and extracted relevant variables to create a final panel dataset with over 36,000 observations (2006–2020, SOEP).
- Designed an IV model in Stata to examine the causal link between couple separation and health shocks (mental/physical).
- Conducted robustness checks to ensure stability and validity of the results.
Arun Sai T.
Last position:
AI-Backend Developer Intern at Calvergy UA
- Integrated complex AI-based energy system models into the frontend framework, enabling the visualization of insights for 6+ key clients and maximizing energy utilization.
- Maximized energy efficiency and utilization by architecting the seamless data flow between AI models and the user interface for rapid, actionable reporting.
Peter L.
Last position:
Zoho Consulting and Development at Zuperstars mit Z wie Zoho
- Consulting on functional topics and their feasibility with Zoho technologies
- Implementing solutions based on Zoho
- Integrating Zoho solutions with third-party systems
- Performing data migrations
- Training and support
Guino N.
Last position:
Senior Data Engineer at Infomotion
- Building a Data Analytics platform for Karl Storz
- Generic development of all ETL processes
- Preparing and providing data in Databricks Delta tables for reuse in Databricks Machine Learning
- Technologies & Tools: Azure Data Factory, CI/CD Pipeline with GitHub DevOps, Python, Azure Databricks (Unity Catalog), T-SQL
Aqsa Y.
Last position:
Multilingual Translation Tool - NLP Project
- Integrated MarianMT (Marian Machine Translation) models to ensure high-quality neural machine translation (NMT).
- Managed model loading and tokenization via Hugging Face Transformers, optimizing for offline caching and reproducibility.
- Planned extensions: language auto-detection, batch translations, and streamlined GPU inference with PyTorch.
Discover over 15,000 top freelancers
Statistics of experts using Business Intelligence
Aggregated from the professional profiles of matched freelancers.
Experience
13 years (Germany: 19 years)

Position duration
2.3 years (Germany: 3 years)

Positions per freelancer
9 (Germany: 11)

Top business areas
Business Intelligence, Information Technology, Product Development

Top industries
Information Technology, Professional Services, Automotive

Certification focus areas
Business Intelligence, Information Technology, Project Management
Bachelor's degree or higher
90% (Germany: 93%)
Master's degree or higher
67% (Germany: 68%)
Doctorate
5% (Germany: 8%)

Certifications per freelancer
2 (Germany: 3)

Most common languages
German, English, French

Speak two or more languages
100% (Germany: 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 Nuremberg 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 Nuremberg 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 (83%)
- Professional Services (57%)
- Automotive (52%)
- Banking and Finance (43%)
- Manufacturing (43%)
- Healthcare (39%)
- Retail (30%)
- Education (26%)
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 decisions. Specialists combine data integration, modelling, analysis, and visualisation to create trusted reports and dashboards. The work can support daily monitoring as well as strategic planning.
Typical BI deliverables
BI projects connect business questions with usable data products. Common deliverables include:
- Executive dashboards for performance and planning
- Sales, finance, supply chain, and service reports
- Data models with consistent business definitions
- Automated refreshes, alerts, and self-service analytics
Ecosystem and tooling
A BI specialist may work with Microsoft Power BI, Tableau, Qlik Sense, or Looker, alongside SQL databases and cloud data services. Strong delivery also involves ETL and ELT pipelines, dimensional modelling, data warehouses, governance, and role-based access. Python or R can add advanced analysis where standard reporting is not enough.
When freelance expertise helps
Companies bring in freelance BI expertise when reporting is fragmented, a migration is under way, or internal teams need focused capacity. Typical signals include conflicting figures across departments, slow manual reporting, unclear KPI ownership, and dashboards that users do not trust. In Nuremberg, remote collaboration can support local manufacturers, logistics firms, retailers, and service organisations while preserving on-site workshops when useful.
What strong specialists deliver
Effective BI professionals start with decisions and processes, not visual effects. They clarify requirements, define metrics with stakeholders, trace data to its source, and document assumptions. They also design dashboards for the people who use them, test refreshes and permissions, and explain findings in language that business teams understand.
Choosing the right professional
Look for evidence of complete BI delivery: source integration, semantic modelling, dashboard design, deployment, and adoption. Ask which tools and data environments the specialist has used, how they handle data quality, and how they measure whether a report supports action. For Nuremberg projects, agree early on remote routines, workshop needs, and the language required by German-speaking stakeholders.
Frequently asked questions
Quick answers to the questions that come up most around Business Intelligence.
Companies use Business Intelligence to combine data from systems such as ERP, CRM, finance, and operations into reports, dashboards, and analysis. It helps teams monitor performance, investigate causes, plan resources, and make decisions from consistent information.
Business Intelligence focuses mainly on trusted reporting, descriptive analysis, and repeatable decision support. Data analytics can cover broader investigation, while data science often adds predictive models and machine learning; the boundaries overlap, so project goals should guide the choice.
A strong Business Intelligence specialist may work with Power BI, Tableau, Qlik Sense, Looker, SQL, cloud warehouses, and ETL or ELT tools. Useful adjacent skills include dimensional modelling, data governance, security, stakeholder facilitation, and clear data storytelling.
The right level depends on scope, data quality, and the number of systems involved. A focused dashboard can suit a specialist with targeted delivery experience, while a warehouse redesign or company-wide reporting model needs someone who has handled architecture, governance, migration, and adoption.
Much of Business Intelligence delivery can be completed remotely, including modelling, development, testing, and documentation. Workshops with process owners may work better on site, particularly when requirements are unclear; agree on access, meeting routines, and German or English language needs at the start.
Ask for examples that show the full path from source data to a used decision product. A capable Business Intelligence professional can explain metric definitions, data lineage, refresh behaviour, access controls, testing, and how they handled conflicting stakeholder requirements.
Power BI is often a practical choice when an organisation already uses Microsoft services and wants governed self-service reporting. It is not automatically the best fit: data volume, security, user skills, existing licences, modelling needs, and integration requirements should shape the decision.
A Business Intelligence freelancer should clarify the decisions the reports must support, the source systems available, ownership of definitions, data access, refresh expectations, and acceptance criteria. They should also confirm who will maintain the solution and how users will be trained after handover.
The average hourly rate of freelancers in Nuremberg, Germany who have used Business Intelligence in their recent projects is 90 €, which corresponds to a daily rate of about 724 € based on an 8-hour working day.
Of the freelancers in Nuremberg, Germany who have used Business Intelligence in their recent projects, 90% hold at least a Bachelor's degree, 67% hold at least a Master's degree, and 5% hold a doctorate.
On average, freelancers in Nuremberg, Germany who have used Business Intelligence in their recent projects have 13 years of professional experience, with a single engagement typically lasting around 2.3 years.
The most common languages among freelancers in Nuremberg, Germany who have used Business Intelligence in their recent projects are German (100%), English (100%), and French (35%).
The most common industries among freelancers in Nuremberg, Germany who have used Business Intelligence in their recent projects are Information Technology (83%), Professional Services (57%), and Automotive (52%).
The most common business areas among freelancers in Nuremberg, Germany who have used Business Intelligence in their recent projects are Business Intelligence (100%), Information Technology (96%), and Product Development (65%).
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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