Business Intelligence Experts in Austria

• Initiation, planning, management and completion of several digitalization projects

• Requirements management including proposal preparation, business concepts & process analyses

• Stakeholder management (internal steering, external service providers, business units)

• Resource & capacity planning, controlling, budget responsibility

• Claim and change management (including escalation handling)

• Project marketing & knowledge management

• Quality assurance & risk management in line with PMO standards

• Implementation of a cloud-based solution in customer service (insurance)

• Harmonization & digitalization of approval and contract processes

• Reduction of processing times by >20 % through optimized workflows

• Establishment of standardized project controlling with BI dashboard

• Jira • Confluence • MS365 (Project, Teams, SharePoint) • ITIL • PRINCE2

• Consulting and interim management at the interface between IT operations and regulation
• Impact analysis and implementation planning for NISG 2026 and the EU AI Act, including risk management and reporting and evidence processes
• Training for governing bodies and employees on regulatory obligations
• Lectures in Data & Information Management and Human-Machine Interaction at University of Applied Sciences Burgenland, since 2023
• Supervision of master’s theses and participation in the examination board
• Presentations for business and educational institutions
• Design and development of data and AI products, platforms and pipelines
• Privacy-first architectures and zero-knowledge encryption, cloud-native on EU infrastructure
• MLOps and AIOps in live operations
• Own applications under own brand: shared codebase, separate delivery for each target device
• AI-assisted software development (vibe coding), complete agentic pipelines, code generation, implementation, automated testing, CI/CD and release cycles
• Publications on the EU AI Act, NIS2, DORA, CRA and CER as an integrated governance system
• Publications on data sovereignty, cloud economics and industrial image processing
• AI governance / compliance: data quality, Responsible AI, EU AI Act readiness, risk classification, AI ethics

• Organizational Change Management as part of a group-wide, supranational sales transformation, serving as the core of a broad restructuring of business-critical areas, with end-to-end control of the change process and long-term embedding and securing the future readiness of sales.
• Initiation and end-to-end steering of the sales transformation program, including in-depth analysis to identify, assess, and strategically involve all relevant stakeholders, making tactical use of their specific business interests and influence.
• Conducting advanced, detailed change impact analyses to predict the organizational effects of the transformation, deriving a tailored change strategy, and developing a change roadmap and a change story as the core narrative of the campaign.
• Designing and implementing an integrated communication and action plan to ensure maximum transparency, effectively manage unspoken expectations, and actively guide a change process that is clear and understandable for all stakeholders.
• Active management of all transformation phases, including the setup of robust monitoring mechanisms for continuous progress analysis and forecasting based on recommended and jointly defined KPIs.
• Establishing an agile analysis and adjustment cycle to continuously assess the effectiveness of implemented measures, identify challenges early, and fine-tune the change strategy in time.
• Conducting precise gap analyses to identify skill gaps in the sales team in the context of the new strategic direction, and deriving and developing targeted qualification measures (e.g. coaching, training).
• Comprehensive reduction of resistance to change by turning opposing stakeholder mindsets into proactive change-driving change ambassadors.
• Deep and sustainable realignment of sales structures and processes in full alignment with the company’s overall goals.
• Qualitative and quantitative improvement of sales efficiency and performance as a direct result of the implemented transformation initiatives and capability-building programs.

Refactoring and improving core APIs; implementing client change requests. Setting up metrics, traces, and logs monitoring infrastructure to support operations. Designing GitOps deployment and infrastructure as code. Applications and systems configuration in ArgoCD and Openshift. Confluence documentation of design, approach, and solution. Tech Stack: Java 8 & 21, Spring framework, JSP, JavaScript, Bash scripts, SQL, Grafana Stack, OpenTelemetry, Docker, DB2, Maven, Kubernetes Kompose.

SAP Business Data Cloud / Datasphere rollout

Technologies: SAP Datasphere | SAP BTP | SAP Analytics Cloud | ETL / ELT | Security & Governance

Tasks / Responsibilities:

• Designing and implementing data architectures in SAP Business Data Cloud / Datasphere
• Designing spaces, data products, and data flows for integrated data models
• Connecting SAP and non-SAP systems via SDI, ODP, APIs
• Integration with SAP Analytics Cloud for self-service analytics
• Building governance, security, and authorization concepts
• Creating architecture guidelines & performance optimization

Results / Achievements:

• Introduced a central data catalog & authorization concept
• Laid the foundation for self-service analytics

• Support for the introduction of new digital exchange and communication structures as part of an organization-wide transformation project
• Conception, setup, and operational management of Viva Engage communities within the intranet as part of the rollout of new digital exchange and communication formats
• Planning and support of the pilot phase and the initial operational phase, including feedback and optimization loops
• Onboarding and enablement of employees and leaders in the use of new digital exchange formats
• Development of change management and activation measures to drive participation and adoption
• Moderation of discussions and creation of guidelines, FAQs, and netiquette
• Editorial and content strategy, including leadership communication
• Adaptation and implementation of central concepts and communication guidelines to organization-specific requirements
• Monitoring, reporting, and derivation of optimization measures
• Coordination with IT, data protection, communications, and business units

• Extraction, transformation, and cleansing of data from Microsoft Dynamics AX
• Creation of sales reports in Power BI
• Training employees in business intelligence
• Technologies: Power BI, SQL, SQL Server Integration Services (SSIS)

• Procrastination for beginners. The companion for your digital business model.
• Ultimate support for digital strategy, content marketing, search engine optimization, web development, social selling, online courses and consulting from one source.
• Sparring & mentoring for self-employed people, freelancers, entrepreneurs and coaches.
• Website & social media analysis.

• Accurate handling of customer transactions under time pressure, including cash and register processing with high care
• Reliable, consistent performance in a fast-paced, customer-focused environment; strengthened organization and multitasking skills

• Design and implementation of new functionalities in the areas of Lifecycle Management (LCM), Role Management (RLM) and Access Governance

• Adjustment of the company-wide Segregation of Duties (SoD) matrix to ensure regulatory and internal compliance requirements

• Further development and configuration of recertification processes

• Creation and adaptation of custom workflows, rules and tasks in SailPoint IdentityIQ (BeanShell, XML, Java)

• Use of static code analysis with SonarQube to ensure code quality and compliance with defined development standards

• Regular code reviews within the development team to ensure quality, share knowledge and follow clean code principles

• Work in an agile Scrum team with daily communication, sprint planning and reviews

• Coordination with testers, test managers and business departments to ensure quality and smooth production rollout

• Active involvement in release planning and deployment coordination, including test preparation, cutover activities and rollback strategies

• Analysis and sustainable resolution of issues in the IAM production environment (2nd- and 3rd-level support)

• Reproduction of complex errors, identification of root causes and implementation of lasting fixes

• Creation of technical analyses and recommendations for operations and further development

Tech: AWS (Glue, Lambda, Redshift), Airflow, PostgreSQL, Python, PySpark, Metabase, Power BI

Delivered: Analytics-Ready Data Models • Legacy SQL to Cloud ETL Migration • Dynamic Pricing Engine

• Owned and evolved the company data warehouse end-to-end — from ingestion to transformation to analytics-ready dimensional data models on AWS Redshift.
• Collaborated with Analysts, Data Scientists, and business stakeholders to deliver scalable dimensional data models that enable self-serve analytics and streamline dashboarding in Metabase and Power BI.
• Architected end-to-end ETL/ELT pipelines on AWS (Glue, Lambda, Redshift) using Python and PySpark, orchestrated with Apache Airflow (MWAA) for reliability and observability.
• Defined and enforced data quality standards and governance practices across pipelines and the core data layer.
• Led migration of legacy SQL infrastructure into scalable AWS Glue pipelines with distributed PySpark processing, eliminating bottlenecks and reducing downtime.
• Developed a dynamic pricing engine applying automated promotional discounts based on occupancy rates, competitor pricing, and location performance tiers.
• Designed schema mappings to ingest MongoDB data into structured relational systems (Redshift/PostgreSQL).

Further development of the data analytics system landscape based on MS Power BI

• Concept and development of ETL processes, primary data source SAP IS/U incl. extraction via Theobald extractors to Azure Synapse, support with SAP S/4 conversion
• Support in the concept and development of data models in Azure Synapse Analytics
• Gathering and implementation of requirements in the data analytics area from internal business units
• Identification, documentation and analysis of existing as well as cross-functional processes
• Data definition, data modeling & preparation as well as source selection for merging data from differently structured data sources
• Design of reports and dashboards based on MS Power BI
• Transfer of reporting processes from existing structures to MS Power BI Premium (PPU)
• Hands-on development and implementation of analyses, reports and dashboards based on Microsoft Power BI
• Power Apps for write-back processes from Power BI Premium to Azure SQL DB
• Power BI support as part of the SAP S/4 conversion
• Cooperation with internal business units and external development partners
• Coaching/training, documentation, development processes

• Supporting and helping shape the setup and further development of a company-wide HUB system in the Fujitsu environment for integrating a wide range of data sources and applications in an international context
• Designing and implementing data modeling, ETL processes, reporting, and data quality management