Business Analyst

• Analysis of existing work, information and decision-making processes.

• Identification and prioritization of suitable use cases for AI agents.

• Elicitation of functional and non-functional requirements.

• Design of collaboration between users and AI agents, including control and escalation mechanisms.

• Support for the implementation of the AI agents and adapted keyboard hardware.

• Business target vision for the AI-first transformation.

• Structured and prioritized requirements for implementation.

• Defined roles, interactions and control points between people and AI agents.

• Preparation for the gradual automation of productive work processes.

Techstack: AI agents, LLMs, agent orchestration, RAG, APIs, automation, hardware

• Project lead for a global organization improvement project impacting tax model, global organization, Order 2 Cash (O2C), Procure 2 Pay (P2) processes, supply chain, finance, tax, assets, HR and IT systems including ERP
• Implemented new way of working, including process changes, documentation of work instructions and updates to IT systems including ERP and HR systems
• Success: new operating model implemented and delivering expected benefits

• Designed and fully automated an end-to-end reporting workflow in Google Sheets, eliminating 100% of manual reporting and data-processing effort for sales team performance tracking.
• Built dynamic dashboards to visualize sales KPIs and performance trends, significantly increasing transparency into team performance for leadership.
• Analyzed profitability and performance data for approximately 75,000 customers generating ~3M EGP in monthly revenue, supporting data-driven sales decisions.

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

McDermott – Functional lead Absence & Recruiting

• Rollout of Absence module for Germany
• Rollout of Recruiting module for France
• Product: Workday
• Project phase: country rollout
• C-level and steering committee reporting

Topics:

• Further development of the CRM system NKAM and technical separation of “direct” and “indirect” sales
• Redesign of the discount management area and outsourcing to another system.
• Designing numerous improvements on the wholesale side to reduce manual effort down to the level of user stories.

• Incident analysis and troubleshooting
• Process improvements in collaboration with the business teams
• Joint design and implementation of requirements with the business department and architecture
• Planning and execution of quality management

• Participating in a strategic enterprise project to introduce a centralized customer data platform ("Single Source of Truth") to eliminate redundant data storage and accelerate digital services

• Analyzing and documenting business and system requirements for migrating large, heterogeneous data sets (ETL) and for continuous data synchronization between core systems and the new platform

• Close collaboration with business units, data engineers and architects to gather and validate requirements, and to ensure data quality, consistency and regulatory compliance

• Defining the migration strategy, specifying ETL processes and synchronization mechanisms, and documenting technical interfaces

• Developing and executing test cases for migration and synchronization processes, and performing defect analysis to ensure data integrity and system stability

• Technologies: SQL, Microsoft SQL Server, Azure DevOps, Confluence, UML, RESTful Services, Swagger, Postman

• Requirements Engineering
• Process optimization and introduction of collaborative working models
• Process modeling with BPMN
• Analysis, specification, and documentation of logistics processes, IT systems, and data models
• Development of conceptual solutions
• Use case creation and documentation
• Data analysis with SQL
• Administration of Jira & Confluence

• Backlog Management
• Scrum Master
• PO for the Ministry of Justice
• Optimizing Agile Processes
• Classic Business Analysis, User Stories and Testing
• Operational Topics like Nagios Monitoring and Incident Handling

Tools:

• Jira / Confluence
• SQL Developer
• Elastic / Kibana
• Visual Studio Code

• For the internal MIS, which gathers data in a complex, comprehensive system landscape and loads it into a central database via ETL, existing processes and packages had to be maintained and new KPIs analyzed, specified, and implemented.

• Development, maintenance, and execution of „Regulatory Transaction Reporting“ (MiFIR & Dodd-Frank)
• Business and IT specification, testing, and business analysis in the banking systems environment of Summit, Murex, and Calypso, particularly in migration projects.
• Development, maintenance, and execution of P&L and risk reporting.
• Liaison between the business department and IT in an agile project environment.

• Conducting a feasibility study on introducing an in-house DWH as a central data source
• Conducting workshops for current state analysis (processes, reports, KPIs) together with the clients
• Gathering and detailing business requirements including a target concept for an in-house DWH
• Coordinating and clarifying data deliveries and interfaces in meetings with stakeholders and data providers
• Developing initial data models as a basis for data quality and later implementation
• Drafting solution variants including architecture and operation options and decision basis
• Creating the business case including effort estimates, cost-benefit analysis, and decision report

• Planning, implementation and rollout of 7 eGov services for companies and job seekers for the Unemployment Insurance Fund (ALV)