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The ProMi Squad (Process Mining) project aims to transparently map the entire order process in the portals area. Relevant data sources from order to activation are combined for this. A holistic view of the end-to-end process makes it possible to identify process deviations and optimization potential. Key milestones of the project are connecting the required data sources, building self-service reports, and implementing automated alerts for process deviations. The challenge lies in the technical and functional integration of heterogeneous systems and data flows to ensure consistent monitoring and control of the ordering process. ⸻ Service Description - Analysis and documentation of requirements in the omnichannel area using requirements management tools and structured elicitation methods - Functional and technical analysis of existing data sources and ETL processes using database tools - Capturing and evaluating existing interfaces between source and target systems based on technical documentation - Consulting on the technical integration of defined data sources into the Celonis environment, taking into account the used tools Celonis EMS, Data Pool, and Data Push API - Creating technical queries and visualizations for process mapping based on the platform features provided (Celonis PQL, Studio) - Using system functions to visualize and analyze existing business processes (via the Celonis Process Explorer) - Functional consulting on technical interfaces, data provisioning, and system prerequisites
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Process and consulting for Asset PnL (m/f/d)

We are looking for an experienced consultant for a process and project initiative in the area of Asset P&L (Profit and Loss) at a leading international financial services provider. - Typical areas of responsibility in this role:** - Analyze and document 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 conceptualize 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 new processes and tools, including milestone planning, stakeholder management and test coordination. - Develop control mechanisms 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 creation time (cycle time): target >25% efficiency improvement. - Decrease in manual correction entries: target >50% reduction through process automation. - Data quality index: increase "first-time-right" rate in data intake to >99%. - Efficiency ratio (cost-to-income): demonstrate a positive contribution to 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 during 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.
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Technical Editor (m/f/d)

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[9689] TECH Data Warehousing Consultant (m/f/d)

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Munich, Germany
100% remote

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Frontend developer to HR platform with Angular experience

Reach out to us if you are interested in working with us on the project.
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SAP Master Data Expert (SAP MDG/MDM) (m/f/d)

Industry
Manufacturing
Areas
Information Technology (IT)
Operations
Supply Chain Management

Project info

  • Period
    15.04.2024 - 30.09.2024
  • Capacity
    from 95%
  • Daily rate
    800 - 960€
  • Location
    Friedrichshafen, Germany
  • Languages
    • German
      (Advanced)
      ,
    • English
      (Advanced)
  • Remote
    80 - 85%

Description

  • Process experience in master data management
  • Experience in SAP MDG consulting
  • Knowledge in material master management / business partner configuration
  • Experience in process design and process documentation
  • Testing experience (integration testing)
  • Experience conducting training and training documentation

Requirements

  • Process consulting in master data management
  • SAP MDG consulting
  • Material master management / business partner configuration
  • Process design
  • Process documentation
  • Training documentation
  • Integration testing
  • Conducting training