The ProMi Squad (Process Mining) project aims to fully map the end-to-end order process in the portals area with full transparency. Relevant data sources from order placement to activation are consolidated. This holistic view of the process enables the identification of process deviations and optimization opportunities. Key project milestones include connecting the required data sources, building self-service reports, and implementing automated alerts for process deviations. The challenge lies in the technical and business consolidation of heterogeneous systems and data flows to ensure consistent monitoring and control of the order process. ⸻ Service description - Analyze and document requirements in the omnichannel area using requirement management tools and structured elicitation methods - Perform business and technical analysis of existing data sources and ETL processes using database tools - Capture and evaluate existing interfaces between source and target systems based on technical documentation - Advise on the technical integration of defined data sources into the Celonis environment, considering tools like Celonis EMS, Data Pool, and Data Push API - Create technical queries and visuals for process representation using platform features (Celonis PQL, Studio) - Use built-in system functions to visualize and analyze current business processes (via the Celonis Process Explorer) - Provide business advice on technical interfaces, data provisioning, and system prerequisites

In the context of further developing the reporting and analytics capabilities in Business Continuity Management (BCM), the existing BI landscape is being migrated from Tableau to Microsoft Power BI. The goal is to build a future-proof, scalable data warehouse that provides a consolidated data foundation for enterprise-wide analyses. At the same time, existing reporting functionalities and automations in the standard software HiScout will be analyzed and adjusted to meet new requirements. - **Consulting**: Advising on the architecture and setup of a data warehouse based on Microsoft technologies (SQL Server, Power BI) - **Migration**: Advising on migrating existing reports and dashboards from Tableau to Power BI - **Data Analysis**: Analyzing existing data sources and designing appropriate ETL processes - **Automation**: Connecting and automating data sources - **Requirements Analysis**: Conducting requirements analyses and creating technical concepts for reporting adjustments in HiScout - **Reporting**: Implementing and testing reporting adjustments in HiScout - **Documentation**: Quality assurance and documentation of completed work - **Training**: Advising on creating training materials and transferring know-how to internal teams

- Development and enhancement of data management in SQL Server for fixed network and all-IP products, and integration of existing and new data sources from SQL Server/Oracle from CRM systems and workflow management systems - Building a database in SQL that collects and consolidates data from different source systems (CRM and workflow systems) - Creating and extending database analyses in Tableau for daily reporting - Advising business units (e.g., Technology, Order Management) on data collection and customer data management - Continuous optimization and establishment of the data management process and data quality for future projects

Design and build a modern data platform in the Azure Cloud for an e-commerce company. Implement scalable data pipelines and a lakehouse architecture. - **Typical responsibilities:** - Designing and implementing ETL/ELT processes with Azure Data Factory/Databricks. - Building and managing the data infrastructure (Data Lake, Synapse). - Developing data models and ensuring data quality. - Automating deployments using IaC (Terraform). - Performance tuning and coordinating with stakeholders. - **Relevant technologies, tools & methods:** - Azure Data Factory, Synapse, Databricks, Data Lake Storage. - Apache Spark, Delta Lake. - Python (PySpark), SQL. - Terraform, Azure DevOps. - **Typical KPIs & success metrics:** - Data latency, pipeline uptime (>99.9%), query performance, cost efficiency. - **Key challenges & risks:** - High data volumes, GDPR compliance, avoiding data silos. - **Deliverables:** - Production-ready data pipelines, structured data lake/warehouse, IaC scripts, technical documentation.

Typical tasks: - Analyze existing insurance processes and identify digitalization potentials - Gather and document business requirements together with departments - Create solution concepts for digital transformation (incl. process modeling and cost-benefit analyses) - Act as liaison between business and IT: translate requirements into technical concepts and support implementation - Support project management in planning and rolling out new digital solutions (agile methods like Scrum/Kanban) Relevant tools & technologies: BPMN modeling tools (e.g. Visio, Signavio), requirements management (Jira, Confluence), knowledge of common insurance IT systems, MS Office KPIs & metrics: adherence to project milestones and budgets, reduction of process cycle times, increase in customer satisfaction/user acceptance, reduction of manual efforts through automation Challenges: aligning diverse stakeholders in the insurance environment (departments, IT, regulatory), integrating new digital solutions into existing legacy systems, handling regulatory requirements and data privacy, change management and user adoption Deliverables: comprehensive requirements documents and process models, developed business concepts and user stories for IT implementation, defined implementation roadmap, training materials for modified processes Lessons Learned: involving all stakeholders early on makes digitalization projects easier; iterative, agile approaches allow flexible adjustments; deep industry knowledge (products, regulation) is crucial to design sustainable digital solutions

To support the further development of an innovative low-code platform, we are looking for a highly qualified Senior Frontend Engineer. The platform allows customers to build complex business applications with minimal coding effort, with seamless integration into existing SAP system landscapes being critical to success. - Typical tasks: Designing, architecting, and implementing sophisticated, reusable frontend components and modules with React & TypeScript. Ensuring high code quality through code reviews, unit tests, and end-to-end tests. Optimizing the platform’s performance for a smooth user experience. Working closely in an agile Scrum team with product owners, UX/UI designers, and backend developers to deliver the product roadmap. Connecting SAP backend systems via REST and OData APIs. - Relevant technologies/tools: React, TypeScript, React Hooks, state management (e.g. Redux Toolkit, Zustand), SAP Business Technology Platform (BTP), UI5 Web Components, Storybook, Jest, React Testing Library, Cypress, Git, Jira, CI/CD. - KPIs/success metrics: Time-to-market for new platform features, Lighthouse performance score (>90), component reusability rate, 25% reduction in reported frontend bugs per quarter, user adoption rate. - Key challenges: Finding the right balance between abstraction (low-code) and flexibility (specific customer requirements). Ensuring the scalability and maintainability of the frontend architecture in a fast-growing product. Guaranteeing compatibility with various SAP system versions. - Deliverables: Implemented and tested features according to user stories, an expanded and documented component library (in Storybook), technical architecture documentation, sprint acceptance reports. - Best practices: Applying clean code principles and design patterns (e.g. Atomic Design), building a comprehensive test strategy, proactive communication within the team.

For the enhancement of a complex ServiceNow platform, we are looking for a developer specialized in the middlelayer. The focus is on implementing business logic, integrations, and processing data between the frontend and backend systems. - **Typical tasks include:** - Designing and developing server-side business logic in ServiceNow using Business Rules, Script Includes, and Workflows. - Designing, implementing, and maintaining REST- and SOAP-based integrations to third-party systems (e.g., SAP, Jira, HR systems) via IntegrationHub or custom scripts. - Developing and optimizing data flows and transformations within the platform. - Analyzing and optimizing performance of server-side scripts and database interactions. - Ensuring platform stability and security through robust, error-resistant coding. - **Relevant technologies, tools, or methods:** - ServiceNow platform: in-depth knowledge of the Glide API (GlideRecord, GlideSystem), server-side scripting (JavaScript ES5). - Integrations: IntegrationHub (Spokes), REST/SOAP API Explorer, JSON, XML. - Automation: Flow Designer, Workflow Editor. - Development tools: ServiceNow Studio, VS Code with ServiceNow plugins. - Methodology: Agile (Scrum), use of Update Sets and Application Scopes for deployment. - **Typical KPIs or success metrics:** - Transaction response times for critical middlelayer processes. - Error rate in API calls and integrations (< 1%). - Success rate of automated workflows. - Code complexity (e.g., measured via SonarQube integration). - Adoption rate of new features enabled by the middlelayer. - **Key challenges, risks, or specifics:** - Complexity of dependencies between different ServiceNow modules and external systems. - Ensuring scalability under high transaction volumes. - Debugging asynchronous processes and integrations. - Following ServiceNow best practices to maintain upgradeability of the platform ("out-of-the-box" vs. customizing). - **Concrete deliverables:** - Implemented and tested Script Includes and Business Rules. - Fully configured and documented integrations in IntegrationHub. - Technical documentation of the developed logic and data flows. - Completed Update Sets ready for production deployment. - **Lessons learned/best practices:** - Encapsulate reusable logic in Script Includes instead of duplicating it across multiple Business Rules. - Prefer asynchronous Business Rules for long-running operations to avoid blocking the user experience. - Use Flow Designer over the classic Workflow Editor for new automations.

A company is looking for an experienced consultant with expertise in security concepts, SAP ILM, deletion concepts and e-commerce. The goal of the project is to analyze existing processes, optimize security and deletion concepts, and ensure compliance with data protection regulations. The consultant will work closely with internal teams to develop and implement tailored solutions. Key tasks: - Analyze existing security and deletion concepts - Optimize and implement SAP ILM processes - Advise on e-commerce security requirements - Ensure compliance with data protection regulations - Support documentation and training of internal teams

- Customizing / parametrization of the core banking system according to business requirements - Maintaining daily operations - Initial and advanced training of internal staff

A company is looking for an experienced expert with in-depth knowledge of License Manager, Inventory Server, and Integration Manager. The goal of the project is to optimize existing systems, integrate them, and ensure that all processes run efficiently and smoothly. In this role, the expert will work closely with internal teams to analyze requirements, implement solutions, and monitor systems. Key responsibilities: - Analyze and optimize existing systems (License Manager, Inventory Server, Integration Manager) - Integrate new processes and tools - Collaborate with internal teams to analyze requirements - Ensure system efficiency and security - Document and train teams

A company is looking for an experienced MES consultant with a focus on MPDV’s Hydra X to support the expansion of the system to additional sites. The system is already rolled out at one site and now needs to be scaled further. The role includes supporting the introduction of new features or versions of the system, implementing system customizations and optimizations based on production requirements, and assisting with the rollout. The consultant will work closely with internal teams and external service providers to ensure quick identification and resolution of issues in the MES system. - Support the introduction of new system features or versions - Implement system customizations and optimizations based on production requirements - Assist with the rollout to additional sites - Quickly identify and resolve issues in the MES system

On behalf of a renowned client in the life sciences sector, freelance support is sought in Clinical Data Management. The main task is to be responsible for coordinating all data management activities in clinical studies. - Typical responsibilities in this role:** - Creation and review of the Data Management Plan (DMP) and the Data Validation Plan (DVP). - Design and implementation of electronic case report forms (eCRFs) in EDC systems (Electronic Data Capture). - Coordination of data collection, validation, and cleaning throughout the study cycle. - Development and execution of query processes to resolve data inconsistencies with study sites. - Medical coding of adverse events (AEs) and medications (e.g., using MedDRA, WHODrug). - Conducting SAE reconciliation (serious adverse event reconciliation). - Preparation and execution of database lock after data collection is complete. - Preparation of status reports and communication with the study team (project management, monitoring, biostatistics). - Relevant technologies, tools or methods:** - EDC systems: Medidata Rave, Oracle Clinical, Viedoc, Zelta, OpenClinica. - Programming languages/analysis tools: SAS, R, Python, SQL. - Standards: CDISC (SDTM, ADaM), GCP (Good Clinical Practice), 21 CFR Part 11. - Collaboration tools: MS Teams, Jira, Confluence. - Data visualization: Tableau, Power BI. - Typical KPIs or success metrics:** - Data quality: Query rate (number of queries per 1000 data points) < X; data entry error rate < 1%. - Time management: time from last patient last visit (LPLV) to database lock (target: 4–6 weeks). - Efficiency: average time to query resolution (target: < 10 working days for critical queries). - Compliance: 100% adherence to milestones and processes defined in the DMP. - Protocol adherence: rate of protocol deviations related to data management < 5%. - Specific challenges, risks or considerations:** - Managing increasing data volumes and sources (e.g., wearables, ePROs). - Ensuring data integrity and security (cybersecurity, data protection/GDPR). - Complexity from mid-study changes (protocol amendments) and their impact on the database. - Ensuring consistent data quality across multiple, globally distributed study sites. - Lack of qualified specialists and high training demands for study-specific systems. - Deliverables:** - Finalized and approved Data Management Plan (DMP). - Live and validated study database (EDC system). - Regular data cleaning reports and status updates. - Clean, quality-assured data set ready for statistical analysis. - Final locked study database with complete audit trail. - Archived project documentation after study completion.

A company is seeking support for a project aimed at transparently mapping the overall ordering process in the Portals area. The goal is to combine relevant data sources from order to activation to enable a holistic view of the end-to-end process. This should facilitate the identification of process deviations and optimization potentials. Key project milestones include connecting the required data sources, building self-service reports, and implementing automated alerts for deviations in the process flow. The challenge lies in the technical and professional integration of heterogeneous systems and data flows to ensure consistent monitoring and control of the ordering process. - Analysis and documentation of requirements in the Omnichannel area using requirements management tools and structured collection methods - Professional and technical analysis of existing data sources and ETL processes using database tools - Recording and evaluation of existing interfaces between source and target systems based on technical documentation - Consulting on technical integration of defined data sources into the Celonis environment considering the tools used (Celonis EMS, Data Pool and Data Push API) - Creation of technical queries and representations for process visualization based on provided platform functions (Celonis PQL, Studio) - Use of system-side functions for visualization and analysis of existing business processes (via Celonis Process Explorer) - Professional consulting on technical interfaces, data provision and systemic requirements

For a project in the power plant environment, a freelance specialist for migrating and adapting the ABB 800xA control system is needed at short notice. - Typical tasks in this role:** - Implementation of programming and commissioning with the ABB 800xA process control system. - Migration of existing control system logic to the new system version, including adaptation of controllers and I/O modules. - Creation and adjustment of process graphics, operator interfaces and alarm management configurations. - Execution of system tests, error analysis and performance optimizations to ensure plant availability and controllability. - Technical support of operations staff during the commissioning and ramp-up phase. - Preparation and maintenance of technical documentation (functional diagrams, configuration descriptions, test protocols). - Close cooperation with the process engineering, electrical engineering departments and the plant operator. - Relevant technologies, tools or methods:** - Control system: ABB Ability™ System 800xA (including AC 800M controller, information management, batch control). - Engineering tools: Control Builder M, Process Graphics Migration Tool, Bulk Data Manager. - Fieldbuses: PROFIBUS, Foundation Fieldbus, Modbus. - Virtualization: VMware, Hyper-V for test and development environments. - Databases: SQL knowledge for historical data analysis (e.g., 800xA History). - Knowledge of relevant standards for process and power plant engineering (e.g., IEC 61508, IEC 61511). - Typical KPIs or success metrics:** - Migration speed: number of system components/functions migrated per week/month. - System availability: control system uptime after migration > 99.9%. - Commissioning error rate: number of critical software bugs after go-live < 5. - Test coverage: percentage of successfully executed and documented test cases > 95%. - Adherence to project schedule: completion of migration and commissioning by the defined deadline. - Operator acceptance: positive feedback from operations staff on the new system environment. - Key challenges, risks or specifics:** - Migration in running operation ("brownfield") with minimal downtime. - Ensuring compatibility between old and new system components (hardware/software). - High complexity of process logic in power plants (e.g., boiler control, turbine regulation). - Risk of cybersecurity vulnerabilities in networked control systems (e.g., CVEs for 800xA). - Management of interfaces to third-party systems (e.g., MES, ERP). - Need for intensive and precise collaboration between control engineering, process engineering and operations. - Concrete deliverables:** - Migrated and operational control logic on the target system. - Fully tested and customer-approved process graphics and operator interfaces. - Acceptance protocols for Factory Acceptance Test (FAT) and Site Acceptance Test (SAT). - Updated technical plant documentation. - Final migration report with lessons learned. - Trained operations staff.

We are looking for an experienced consultant for a process and project initiative in Asset P&L (Profit and Loss) at a leading international financial services provider. - Typical responsibilities in this role:** - Analyze and document the existing end-to-end P&L processes for various asset classes (e.g., equities, fixed income, derivatives). - Identify weaknesses, risks, and inefficiencies in data collection, processing, and reporting. - Design and develop optimized target processes for P&L calculation and attribution. - Create functional specifications and business requirements for adapting or introducing IT systems (e.g., P&L engines, data warehouses). - Manage the implementation of the new processes and tools, including milestone planning, stakeholder management, and test coordination. - Develop controls to ensure data quality and consistency. - Prepare training materials and conduct workshops for business areas (trading, controlling, risk). - Relevant technologies, tools, or methods:** - Advanced analytics: MS Excel (Pivot, Power Query, VBA), SQL. - Business Intelligence: Tableau, Power BI, Qlik. - Project management: Jira, Confluence, MS Project. - ERP/Finance systems: SAP FI/CO, Oracle Financials, or industry-specific asset management platforms. - Methods: Business Process Model and Notation (BPMN 2.0), agile project management (Scrum/Kanban). - Typical KPIs or success metrics:** - Reduction in P&L cycle time: target >25% efficiency gain. - Decrease in manual correction entries: target >50% reduction through process automation. - Data quality index: increase in first-time-right rate on data intake to >99%. - Efficiency ratio (cost-to-income): demonstrate a positive impact on lowering the ratio. - User adoption rate: acceptance of new processes/tools in the business area >80% after 3 months. - Key challenges, risks, or specifics:** - Heterogeneous system landscapes and inconsistent data sources (data silos). - High complexity of financial products and valuation models. - Resistance to process changes in business areas (change management). - Ensuring compliance with regulatory requirements (e.g., IFRS 9, BCBS 239). - Time- and budget-critical implementation while ongoing operations. - Concrete deliverables:** - Milestone 1: completed as-is analysis and process documentation. - Deliverable 1: detailed analysis report including risk assessment. - Milestone 2: finalized target concept and business requirements document. - Deliverable 2: implementation roadmap and project plan. - Milestone 3: successful user acceptance test (UAT) of the new process/tool. - Deliverable 3: acceptance protocols, training materials, and project closure report.

- Performing and handling change processes (supplier change, new registration, move-in/move-out) - Independently handling clarification cases with analysis of rejection reasons and follow-up - Supporting market communication and related areas (e.g., meter reading, billing) at least at 2nd-level - Ensuring smooth workflows within energy industry processes

A leading automotive supplier is looking for an experienced quality expert to inspect weld seams on safety-relevant body components. The project involves ensuring the highest quality standards through non-destructive testing methods. - Typical tasks: Independently plan, perform and evaluate non-destructive tests (NDT), especially visual testing (VT) and ultrasonic testing (UT). Create and manage test plans and work instructions. Detailed documentation of test results in CAQ systems. Analyze defect patterns and initiate corrective actions in close coordination with welding and production planning. Calibration and maintenance of test equipment. - Relevant technologies/tools: Ultrasonic testing devices, endoscopes, videoscopes, CAQ software (e.g. Babtec, QSYS), knowledge of standards DIN EN ISO 9712, ISO 5817, and relevant VDA volumes. - KPIs/success metrics: First Pass Yield (FPY) > 98%, reduction of internal defect rate (PPM), zero-error tolerance for safety-critical seams (escape rate = 0), on-time completion of test orders. - Key challenges: Assess complex seam geometries under time pressure. Clear interpretation of test results and distinguishing acceptable irregularities from critical defects. Enforcing quality standards with production. - Deliverables: Completed test reports, detailed failure analyses and reports, updated work and test instructions, contributions to FMEAs (failure mode and effects analysis). - Best practices: Regular team alignment (shopfloor management), continuous improvement of testing processes (CIP), raising awareness and training of production staff.

- IT Project Manager activities - Interface / bridging function between business department and technology, hence also the required domain expertise.

A company is looking for a specialist/consultant in the field of system testing development for special machine construction. The System Test and Qualification group conducts system tests in development projects, including tests of individual components, machine modules and software releases. Responsibilities also include defining and executing acceptance tests. The goal of the project is to support detailed planning of test tasks, creation and optimization of test case specifications and execution of integration and functional tests. Activities take place exclusively on site in the lab on machine systems. - Detailed planning of test tasks - Creation and optimization of test case specifications - Execution of integration and functional tests - Running test cases (black box, use case, fail case tests) - Documenting and preparing test results in the test management tool and MS Office - Error analysis and communication with developers (directly in the lab and via MS Teams) - Coordination with project management and the test manager

A company is seeking a skilled Embedded Linux Engineer to support the rollout and commissioning of new hardware modules at a leading technology manufacturer. The role involves hardware-related software development, device driver programming, and direct troubleshooting with hardware teams on-site. Typical project responsibilities: - Develop and adapt Linux device drivers for custom hardware modules - Kernel customization, system integration and performance optimization of Embedded Linux systems - Conduct unit and integration tests on target hardware - Work closely with hardware development for debugging and failure analysis - Document software architectures and implementations for internal knowledge transfer - Support the deployment of the modules in production environments Key technologies/tools/methodologies: - Embedded Linux (Yocto/Buildroot), C/C++, shell scripting - Debugging tools: JTAG, gdb, logic analyzers - Version control (Git), CI/CD for embedded projects KPIs/Success Metrics: - On-time commissioning of modules, system uptime/MTBF, error rate in field use, stability under resource constraints Special challenges/risks: - Hardware/software integration under time pressure, managing resource limitations on embedded devices Deliverables: - Ready-to-use hardware modules with tested Linux firmware - Complete project and code documentation, transfer of know-how to client teams Lessons Learned/Best Practices: - Intensive cross-team collaboration, early integration testing, automated regression testing and code reviews