Business Intelligence Experts in Nuremberg
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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.
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
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.
Birgit M.
Last position:
Database builder at mr-directory.com
- Building the world's largest database of market research service providers and survey platforms ([link]
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
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
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
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.
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 restructuring and capacity management process of the product workstreams to increase development efficiency, boost employee retention and improve profitability
- Integrated targeted incentives such as budget targets, contribution margin accounting and incentive schemes into the operating model
Tim S.
Last position:
Freelance Business Intelligence Consultant at Self-employed
- Ongoing support for a Lucanet project in Hamburg (logistics/financial market)
- Consulting on budgeting topics
- Consulting on fixed asset accounting issues
- Support with analyses
- Implementation of Lucanet at a customer near Munich (retail/building materials)
- Support with the initial setup
- Preparation of Excel data imports
- Development of an SQL interface to Navision data
- Ongoing support for a Lucanet project in Munich (pharmaceuticals/medical)
- Data output to SQL Server
- Support and consulting in setting up legal consolidation
- Ongoing support for a Lucanet project in Cologne (publishing)
- Preparation of Excel imports
- Support with the initial setup (project restart)
- Ongoing support for a Lucanet project in Ludwigsburg (chemicals, printing inks, hobby paints)
- Connecting Lucanet to an existing data warehouse solution (SQL)
- Ongoing support for a Lucanet project in Bad Staffelstein (solar industry)
- Connecting Lucanet to an existing data warehouse solution (SQL)
- Connecting the Lucanet Reporting Package
- Support and consulting in setting up legal and management consolidation
- Ongoing support for a Lucanet project in Zeven (transport and logistics)
- Administration of the existing Lucanet solution
- Connecting the Lucanet Reporting Package
- Support and consulting in setting up legal and management consolidation
- Support with planning and forecasting
- Implementation of Lucanet at a customer in Luxembourg (retail)
- Installation and setup
- Support with the initial setup
- Preparation of Excel/DWH interface data imports
- Implementation of Lucanet at a customer in Nuremberg (manufacturing)
- Support with the project restart
- Design of reporting and planning
- Setup of import packages
- Lucanet in-house consultant at an international software group with a focus on M&A
- Consulting and support for the group holding company and business units regarding the implementation, rollout and operation of the Lucanet Disclosure Management solution
- Implementation of Lucanet at a customer in Wassertrüdingen
- Database setup and configuration
- Connecting source systems using Lucanet interfaces
- Preparation of consolidated financial statements
- Support with the consolidation process
- Support with the reporting process
- Support for Lucanet at a customer in Stuttgart
- Support with the consolidation process
- Support with the reporting process
- Support with the planning process
- Sparring partner for the specialist department
- Support for Lucanet at a customer in Landau
- Implementation of cost center allocation in Lucanet
- Support with the consolidation process
- Support for a Lucanet carve-out for a customer in Waldstetten
- Database setup and configuration
- Design and implementation of BI software at a staffing services provider in Nuremberg
- Connecting various source systems
- Development of data warehouse and ETL processes
- Creation of several cubes and data marts
- Ongoing support and further development
- Based on: Cubeware Importer, SQL Server, TM1
- Design and implementation of BI software at an elevator company in Nuremberg
- Connection to Navision BC
- Development of data warehouse and ETL processes
- Creation of several cubes and data marts
- Based on: Cubeware Importer, SQL Server
- Design and implementation of BI software at a logistics company in Leipzig
- Connection of various source data
- Development of data warehouse and ETL processes
- Creation of several cubes and data marts
- Based on: Cubeware Importer, SQL Server, TM1
- Design and implementation of BI software at a corporate group in Freilassing
- Connection of various source data
- Development of data warehouse and ETL processes
- Based on: Cubeware Importer, SQL Server, TM1
- Design and implementation of a new reporting environment based on SQL Server and Power BI
- Best practice consulting for the creation of a data warehouse
- Support with report creation in Power BI
- Support with transforming an existing DWH solution to SAP BW
- Analysis and documentation
- Ongoing consulting on processes
- Support with designing BW/SAC models
- Reporting in SAC
- Rebuilding the BI environment at an international company from Berlin (manufacturing/retail)
- Connecting SAP BO to the new DWH (SSIS)
- Creation of tabular model cubes (SSAS)
- Creation of reports and KPIs
- User training
Michael S.
Last position:
Senior Project Lead & Technical Product Manager - Digital enabled services at Siemens Healthineers AG
- Acting as the program lead for digitally enabled services, overseeing projects like Transformation, remote scanning (WeScan), e-commerce, and OneGate (budget: ~€5M p.a.).
- Developed the transformation strategy and roadmap for a supply and demand platform on ServiceNow, driving harmonization and integration of legacy systems.
- Led cross-functional teams in designing and rolling out these digital business models on the ServiceNow backend platform.
- Enabled strategic decision-making by building Azure DevOps transparency structures and using Agile methods like PI Planning and WSJF prioritization.
- Served as the business demand manager and digital counterpart for CS CRM.
- Managed internal project organization, external partners, and organizational interfaces and dependencies with other departments.
- Executed RFPs and managed vendors according to contracts and internal requirements.
- Contributed to Project sucCeSs, Northstar, and was part of the RaaS Tiger Team and Spryker Customer Advisory Board.
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
Premalatha S.
Last position:
Software Engineer at ASO-TDS(DISCOVERY)
- Created database schemas and liaised with geographically distributed teams using waterfall methodology
- Participated in business workshops and authored technical specification documents aligned with architectural requirements
- Developed high-quality code deliverables and reports using repository tools
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
65% (Germany: 67%)
Doctorate
5% (Germany: 9%)
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 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Nuremberg 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 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 19 Sep 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 (82%)
- Professional Services (55%)
- Automotive (50%)
- Banking and Finance (45%)
- Healthcare (41%)
- Manufacturing (41%)
- Retail (32%)
- Education (27%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Business Intelligence covers
Business Intelligence turns operational data into reports, dashboards and decision support. It connects sources such as ERP, CRM, finance and production systems, then gives teams a consistent view of performance. Strong solutions make metrics understandable, traceable and useful in daily work.
Typical deliverables
Business Intelligence work can support finance, sales, supply chain, manufacturing, healthcare and public services. Common deliverables include:
- Executive dashboards for strategic decisions
- Self-service reporting for business teams
- KPI models with shared definitions
- Data marts for recurring analysis
- Automated management and regulatory reports
Ecosystem and tooling
The ecosystem includes Microsoft Power BI, Tableau, Qlik, Looker and SAP Analytics Cloud. Professionals often work with SQL, Python, DAX, Power Query and semantic models, alongside Snowflake, Databricks, BigQuery, Azure, AWS or Google Cloud. Data quality, access control and deployment practices are part of the work.
When companies need specialists
Companies bring in freelance expertise when reporting is slow, definitions conflict or a new data platform needs practical structure. Specialists can assess existing dashboards, design a reporting architecture, migrate from spreadsheets or legacy tools, and establish reusable data models. In Nuremberg, collaboration may combine remote delivery with on-site workshops, depending on the team and project.
What strong professionals deliver
A strong professional links technical choices to how people actually make decisions. They clarify requirements, challenge unclear KPIs and document data lineage instead of only producing attractive visuals. They also understand performance tuning, row-level security, testing, stakeholder training and change management.
Selecting the right expertise
Look for evidence of complete Business Intelligence delivery, from source integration to adoption by the people using the reports. Ask how the professional handles conflicting definitions, incomplete data and access rights. For teams in Nuremberg, language, workshop availability and familiarity with local industrial or service processes can matter as much as tool knowledge.
Frequently asked questions
Quick answers to the questions that come up most around Business Intelligence.
Companies use Business Intelligence to combine data from business systems and turn it into trusted reports, dashboards and analysis. Typical goals include monitoring revenue, costs, operations, customer activity, inventory and service quality.
Business Intelligence usually focuses on governed metrics, recurring reporting and decision support for business teams. Data analytics may explore more complex questions or predict outcomes, while operational reporting often serves a specific process with near-real-time information.
A capable Business Intelligence specialist often combines SQL, data modelling, dashboard design and stakeholder communication. Depending on the environment, useful adjacent skills include DAX, Python, Power Query, cloud data platforms, data governance and information security.
The right level depends on the scope, not a fixed duration. A focused dashboard refresh may need a specialist who can work within an established model, while a warehouse, migration or governance initiative calls for experience across architecture, data quality and adoption.
Yes. Business Intelligence work is often suitable for remote collaboration because data modelling, development and documentation can be handled online. Workshops with process owners, access setup and sensitive-data discussions may still benefit from occasional on-site sessions in Nuremberg.
Ask to see examples that show more than polished visuals. A strong Business Intelligence freelancer can explain source systems, metric definitions, data validation, security decisions and how users were enabled to maintain the solution.
A quality Business Intelligence dashboard answers a defined business question quickly and uses metrics that users can trace back to reliable sources. Check its loading performance, accessibility, filter behaviour, refresh process, security model and documentation.
Business Intelligence commonly includes Power BI, Tableau, Qlik, Looker and SAP Analytics Cloud, supported by SQL and cloud data platforms. The best tool depends on existing systems, governance needs, user skills and the type of decisions the reports must support.
The average hourly rate of freelancers in Nuremberg, Germany who have used Business Intelligence in their recent projects is 92 €, which corresponds to a daily rate of about 734 € 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, 65% 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 (36%).
The most common industries among freelancers in Nuremberg, Germany who have used Business Intelligence in their recent projects are Information Technology (82%), Professional Services (55%), and Automotive (50%).
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 (95%), and Product Development (64%).
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.
Berlin 
Hamburg 
Munich 
Cologne 
Frankfurt 
Stuttgart 
Dusseldorf 
Dortmund 
Essen 
Hanover Request a free demo
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Philipp Thomaschewski
FRATCH CEO
