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Celonis Process Analyst (m/f/d)
The ProMi Squad (Process Mining) project aims to transparently map the end-to-end order process in the portals area. Relevant data sources from ordering to activation are consolidated for this purpose. The holistic view of the end-to-end process enables the identification of process deviations and optimization potentials. Key milestones of the project are the integration of the required data sources, the development of self-service reports, and the implementation of automated alerts for deviations in the process flow. The challenge lies in the technical and functional integration of heterogeneous systems and data streams to ensure consistent monitoring and control of the order 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 - Recording and evaluation of 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 tools used (Celonis EMS, Data Pool, and Data Push API) - Creation of technical queries and representations for process visualization based on the provided platform functions (Celonis PQL, Studio) - Use of system functions for visualization and analysis of existing business processes (via the Celonis Process Explorer) - Functional consulting on technical interfaces, data provisioning, and system prerequisites
Business Analyst - Securities Trading (m/f/d)
A company is seeking an experienced Business Analyst to adopt the product perspective within a squad and advise the Squad Owner (Product Owner) to maximize value creation while continuously incorporating customer and market insights. The Business Analyst will keep track of market requirements, coordinate with customers and partners, maintain the squad backlog, and ensure the professional quality of deliverables. The position requires independent, cross-functional analysis and alignment of business requirements directly with business units, squad owners, technical teams, and product management. - Advising the Squad Owner on the squad’s (partial) products and services, including technical components. - Supporting business aspects from ideation and concept through market launch and maintenance according to the life-cycle process. - Aligning and validating ideas and requirements, as well as assisting in the creation of user stories and maintenance of the squad backlog. - Shaping a customer-centric squad vision, coordinated roadmap, and release plan in line with corporate objectives. - Conducting innovation work and product-specific market observation to ensure competitiveness. - Ensuring stable operations according to agreed service level agreements and regulatory requirements. - Creating requirements specifications, documents, and service descriptions as part of product definition. - Closely coordinating on architecture and refactoring topics with architecture roles. - Ensuring functional and non-functional quality of deliverables by creating and executing test cases.
IT Consultant for Business Intelligence Migration (m/f/d)
As part of the further development of reporting and analytics capabilities in the area of 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 HiScout standard software are to be analyzed and adapted with regard to new requirements. - **Consulting**: Advising on the architecture and building of a data warehouse based on Microsoft technologies (SQL Server, Power BI) - **Migration**: Consulting on the migration of existing reports and dashboards from Tableau to Power BI - **Data Analysis**: Analysis of existing data sources and design of suitable ETL processes - **Automation**: Integration and automation of data sources - **Requirements Analysis**: Conducting requirements analyses and creating technical concepts for reporting adjustments in HiScout - **Reporting**: Implementation and testing of reporting adjustments in HiScout - **Documentation**: Quality assurance and documentation of the work performed - **Training**: Consulting on the creation of training materials and knowledge transfer to internal teams
Business Analyst for Digitalization in the Insurance Industry (m/f/d)
Typical tasks: - Analyzing existing insurance processes and identifying digitalization potentials - Gathering and documenting business requirements together with the business units - Creating solution concepts for digital transformation (including process modeling and cost-benefit analyses) - Acting as liaison between business and IT: translating requirements into technical concepts and supporting implementation - Supporting project management in planning and deploying new digital solutions (agile methods such as 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 lead times, increase in customer satisfaction/user adoption, reduction of manual efforts through automation Challenges: coordinating multiple stakeholders in the insurance environment (business units, IT, regulatory), integrating new digital solutions into existing legacy systems, dealing with regulatory requirements and data protection, 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 updated processes Lessons learned: early involvement of all stakeholders facilitates the implementation of digitalization projects; iterative, agile approaches enable flexible adjustments; in-depth industry knowledge (products, regulation) is crucial for designing viable digital solutions
ECL@SS Consultant (m/f/d)
A company is looking for an expert in handling ECLASS for product classification. The goal of the project is to create a company-wide classification system for unambiguous description of products and services, similar to ECLASS. The expert will work closely with the specialist departments to capture company-specific requirements and terms. In addition, a central database structure for the classification system will be created, documented, and a training concept for company-wide application and integration will be developed. - Creation of a company-wide classification system for unambiguous description of products and services. - Coordination with specialist departments to capture company-specific requirements and terms. - Development of a central database structure for the classification system. - Documentation and creation of training concepts for company-wide application and integration.
Process and consulting for Asset PnL (m/f/d)
We are seeking 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:** - Analysis and documentation of existing end-to-end P&L processes for various asset classes (e.g., equities, fixed income, derivatives). - Identification of weaknesses, risks, and inefficiencies in data collection, processing, and reporting. - Design and conceptualization of optimized target processes for P&L calculation and attribution. - Development of functional specifications and business requirements for adapting or implementing IT systems (e.g., P&L engines, data warehouses). - Project management for the implementation of new processes and tools, including milestone planning, stakeholder management, and test coordination. - Development of control mechanisms to ensure data quality and consistency. - Creation of training materials and delivery of workshops for business units (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 of P&L generation time (cycle time): target >25% efficiency gain. - Decrease in manual corrective postings: target >50% reduction through process automation. - Data quality index: increase of the "first-time-right" rate in data acquisition to >99%. - Efficiency ratio (cost-to-income): demonstrable positive impact on lowering the ratio. - User adoption rate: acceptance of new processes/tools by the business >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 units (change management). - Ensuring compliance with regulatory requirements (e.g., IFRS 9, BCBS 239). - Time- and budget-critical implementation during ongoing operations. - Concrete deliverables (“Deliverables”):** - Milestone 1: Completed as-is analysis and process documentation. - Deliverable 1: Detailed analysis report including assessment of weaknesses. - 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.
(Senior) Cloud Data Engineer (m/f/d) with focus on Azure
Design and build a modern data platform in the Azure Cloud for an e-commerce company. Implementation of scalable data pipelines and a lakehouse architecture. - **Typical tasks:** - Design and implementation of ETL/ELT processes with Azure Data Factory/Databricks. - Setup and management of data infrastructure (Data Lake, Synapse). - Development of data models and ensuring data quality. - Automation of deployments using IaC (Terraform). - Performance tuning and coordination 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.
New
IT Project Manager with Actuarial Knowledge (m/f/d)
- IT project manager activities - Interface / bridging function between business domain and technology, hence the required compelling subject matter expertise.
Consultant / IT Architect for IT Solution Design in RDBMS (m/f/d)
For a client in the IT sector, an experienced IT architect with a focus on relational database management systems (RDBMS) is sought to take responsibility for the solution design of a new data-intensive application. - **Typical areas of responsibility:** - Analysis of existing system landscapes and gathering of functional and technical requirements for data storage. - Design and conception of a scalable, highly available, and secure RDBMS architecture (e.g., based on PostgreSQL, Oracle, or MS SQL Server). - Creation and optimization of data models (physical, logical) and definition of data flows. - Consulting of the development team in the implementation of database structures, stored procedures, and queries. - Planning and support of data migration strategies from legacy systems. - Definition of standards for backup, recovery, and disaster recovery scenarios. - **Relevant technologies, tools or methods:** - RDBMS: PostgreSQL, Oracle, MS SQL Server, MySQL/MariaDB - Cloud platforms: AWS RDS, Azure SQL, Google Cloud SQL - Modeling tools: ER/Studio, Sparx Enterprise Architect, draw.io - DevOps & IaC: Terraform, Ansible, Jenkins for database deployment automation - Monitoring: Prometheus, Grafana, specialized DB monitoring tools (e.g., pgAdmin, Oracle Enterprise Manager) - **Typical KPIs or success metrics:** - System availability and uptime (> 99.95%) - Response times of critical database queries (< 200ms) - Adherence to RTO/RPO targets (Recovery Time/Point Objective) - Scalability: performance under load simulation (e.g., 2x user growth) - Reduction of database operating costs through optimized design. - **Key challenges, risks or specifics:** - Ensuring data consistency and integrity in distributed systems. - Management of schema changes in production (zero-downtime deployment). - Balancing normalization and performance optimization (denormalization). - Securing sensitive data in accordance with GDPR and other compliance requirements. - **Concrete deliverables:** - Final architecture document (Solution Architecture Document) for the database solution. - Implemented and approved data model. - Proof-of-concept for critical non-functional requirements (e.g., high availability). - Migration plan and test protocols. - **Lessons learned / best practices:** - Early involvement of development and operations teams is essential. - Automated tests for database schema changes prevent regression errors. - Consider security-by-design from the outset, not as an add-on.
Freelance Clinical Data Manager (m/f/d)
In assignment for a renowned client in the life sciences sector, a freelance support is sought in the area of Clinical Data Management. The main task is taking responsibility for coordinating all data management activities in clinical trials. - 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 lifecycle. - Development and execution of query processes to resolve data inconsistencies with investigative sites. - Medical coding of adverse events (AEs) and medications (e.g., using MedDRA, WHODrug). - Conducting SAE reconciliation (matching serious adverse events). - Preparation and execution of database locks 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/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 1,000 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 business days for critical queries). - Compliance: 100% adherence to DMP-defined milestones and processes. - Protocol adherence: Rate of protocol deviations related to data management < 5%. - Key challenges, risks, or specifics:** - Managing increasing volumes and sources of data (e.g., wearables, ePROs). - Ensuring data integrity and security (cybersecurity, data protection/GDPR). - Complexity due to mid-study changes (protocol amendments) and their impact on the database. - Ensuring consistent data quality across multiple global investigative sites. - Shortage of qualified specialists and high demands for onboarding in study-specific systems. - Concrete 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, and analysis-ready database. - Final locked study database with complete audit trail. - Archived project documentation after study close-out.
Odoo CRM Expert (m/w/d)
A company in the decentralized ventilation systems sector is looking for an experienced Odoo CRM expert to implement and customize Odoo CRM and the Sales module. The goal is to map sales processes efficiently and train an internal team member so that she can independently work with the system in the future. - Setup and customization of Odoo CRM and Sales module - Development of efficient workflows (Lead → Quotation → Order) - User roles and permissions management - Configuration of custom fields, filters, and dashboards - Assistance with data import - Training of the internal project team member
New
Customer Service Expert Energy Industry (m/f/d)
- Execution and processing of switching processes (supplier change, new registration, move-in/move-out) - Independent handling of clarification cases with analysis of rejection reasons and follow-up processing - Support in market communication as well as adjacent areas (e.g., meter reading, billing) at least at 2nd-level - Ensuring smooth workflows within energy industry processes
MES Consultant with Focus on Hydra X (m/f/d)
A company is looking for an experienced MES consultant focusing on Hydra X from MPDV to support the expansion of the system to additional sites. The system is already rolled out at one site and is now to be further scaled. The role includes supporting the introduction of new functions or versions of the system, implementing system adjustments and optimizations based on production requirements, as well as accompanying the rollout. The consultant will work closely with internal teams and external service providers to ensure the rapid identification and resolution of issues in the MES system. - Support in the introduction of new functions or versions of the system - Implementation of system adjustments and optimizations based on production requirements - Assistance with the rollout to additional sites - Rapid identification and resolution of problems in the MES system
Expert for Cadastral Surveying and AI (m/f/d)
A company is looking for an expert with comprehensive technical expertise in cadastral surveying in North Rhine-Westphalia. The aim of the project is to optimize the business processes of the cadastral authorities and to incorporate scientific findings from the fields of geodesy and artificial intelligence to develop innovative solutions. The role requires a combination of practical experience, scientific work, and the ability to analyze and improve complex processes. Key responsibilities: - Analysis and optimization of the business processes of the cadastral authorities in NRW - Application of scientific findings in geodesy and artificial intelligence - Development and implementation of innovative solutions - Collaboration with interdisciplinary teams - Preparation of reports and presentations for stakeholders
Senior IT Consultant - Oracle HCM (m/w/d)
A company is looking for an experienced Senior IT Consultant with a focus on Oracle HCM. The project’s goal is to support the management of the HR IT Data Management unit as well as the implementation and further development of HR IT systems in line with business requirements and strategic HR objectives. The consultant will play a key role in the GDPR-compliant provision of IT services, project initiation and execution, and collaboration with internal and external service providers. - Support in managing the HR IT Data Management unit - Strategy and organizational consulting - Implementation of HR IT systems for company-wide and internal data management - Ensuring GDPR-compliant provision of IT services - Conducting project initiation, planning, and execution - Collaboration with service providers and analysis of the cost-effectiveness of system application - Technical advancement of HR IT systems and implementation of innovative impulses, e.g., AI solutions
Digital Marketing & CDP Specialist (m/f/d)
Setting up and further development of a Customer Data Platform (CDP) to optimize digital marketing campaigns. The goal is to create a 360-degree view of the customer. - Typical areas of responsibility: conceptualizing the CDP strategy, defining use cases, integrating data from various sources (CRM, web analytics, email marketing), segmenting target audiences, setting up and monitoring personalized marketing automation workflows, performance analysis and reporting. - Relevant technologies, tools or methods: CDP systems (e.g. Segment, Tealium, mParticle), CRM systems (e.g. Salesforce), web analytics tools (e.g. Google Analytics), email marketing tools, A/B testing frameworks, SQL, data visualization tools (e.g. Tableau). - Industry-typical KPIs or success metrics: conversion rate, customer lifetime value (CLV), churn rate, marketing ROI, engagement rate, number of customer profiles captured in the CDP. - Special challenges, risks or specifics: ensuring GDPR compliance, data quality and harmonization, complex system integrations, building internal know-how, platform scalability. - Concrete examples of deliverables: implemented and configured CDP, documentation of data flows and use cases, deployed automation campaigns, regular performance dashboards, training materials for the marketing team.
Tester for Subsea Cables (m/f/d)
A company is seeking an experienced subsea cable tester with an electrical engineering or physics background. The project’s goal is to advise and support the cable tendering process, cable qualification, and the definition and execution of tests during the project phase. The role involves collaborating with bidders, defining requirements, and advising on test procedures to ensure the cables’ quality and functionality. - Advising on cable tendering and cable qualification for the project phase - Defining requirements for manufacturing, interim storage, installation, completion, and inspection - Conducting contract negotiations with bidders - Defining test requirements for all tests from type tests to Site Acceptance Tests (SAT) - Advising on and defining test procedures: from production through FAT tests to type tests and Site Acceptance Tests - Customizing test systems and methods specifically for the project
New
Interim Procurement Professional (m/w/d)
- A company is seeking an experienced interim procurement professional to support its Amsterdam office due to a departing colleague. - The role will end once a permanent successor is found, with the possibility of extension depending on the recruitment process. - The professional will act as the sole representative of a group-wide procurement organization in the Amsterdam office, working closely with a team of nine spread across Europe. - The role involves managing end-to-end procurement processes for both existing and new suppliers, focusing on Marketing and Professional Services categories. - The professional will ensure adherence to procurement standards, negotiate prices, and compare offers in collaboration with business owners. - The onboarding will primarily be remote, with occasional in-person days in Amsterdam.
Expert (m/f/d) for Test Automation in the Insurance Domain
Setup and further development of a test automation suite for the core applications of a large insurance company to increase release speed and quality. - **Typical Tasks:** - Analysis of test processes and identification of automation potential. - Selection, configuration, and implementation of automation frameworks. - Development and maintenance of automated test scripts. - Integration of tests into CI/CD pipelines (Jenkins, GitLab). - Test data management and reporting. - **Relevant Technologies, Tools & Methods:** - Selenium, Cypress, Playwright, Tosca, Postman. - Java, Python, JavaScript. - TestNG, JUnit, Cucumber. - Jenkins, GitLab CI, Docker, Jira. - **Typical KPIs & Success Metrics:** - Automation rate (>70%), reduction of test execution time, defect detection rate. - **Key Challenges & Risks:** - Complex legacy UIs, stable test data management, maintainability of scripts. - **Deliverables:** - Documented test automation framework, automated test suite, CI/CD integration, test reports.
Technical Drafter / Technical Product Designer / Technician (m/f/d)
On behalf of a leading medical technology company, an experienced technical drafter or product designer is being sought to create and maintain technical documentation and design drawings. - **Typical responsibilities:** - Creation of standards-compliant 2D manufacturing drawings and 3D models of parts and assemblies using CAD software. - Detailing and dimensioning of designs, considering geometric and positional tolerances. - Creation and management of bills of materials and technical documents in the PDM/PLM system (e.g., SAP ECTR). - Implementation of revision services on existing drawings and documentation. - Close collaboration with the development and production departments to ensure manufacturability. - **Relevant technologies, tools or methods:** - CAD systems: Siemens NX, SolidWorks, CATIA V5, Autodesk Inventor (depending on client system) - PDM/PLM systems: SAP ECTR, Teamcenter, Windchill - Standards: thorough knowledge of relevant ISO and DIN standards for technical drawings, especially in regulated environments. - ERP systems: SAP S/4HANA - **Typical KPIs or success metrics:** - On-time delivery of drawings and documents. - Error rate in technical documentation (number of required correction loops). - Compliance with internal and external design and documentation standards. - Efficiency in implementing changes (throughput time). - **Key challenges, risks or specifics:** - High demands on accuracy and completeness of documentation due to strict regulatory requirements in medical technology (MDR). - Seamless traceability of changes (versioning). - Complexity of parts to be designed (e.g., freeform surfaces, complex assemblies). - Close coordination with various stakeholders (development, purchasing, quality assurance, production). - **Concrete deliverables:** - Approval-ready 2D manufacturing drawings and 3D CAD models. - Complete and released bills of materials in the ERP system. - Updated technical product documentation. - Change logs. - **Lessons learned/best practices:** - A clear and standardized template management significantly accelerates the creation process. - Regular alignment meetings with production can prevent costly errors early. - Careful maintenance of master data in the PDM/PLM system is the foundation for efficient collaboration.
Frontend developer to HR platform with Angular experience
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Business Analyst with Data Science Background (m/f/d)
Industry
Banking and Finance
Areas
Business Intelligence
Information Technology (IT)
Project info
Period
25.09.2023 - 31.12.2023
Capacity
80 - 90%
Daily rate
800 - 960€
Location
Hessen, Germany
Languages
Essential:
German
(Advanced)
Desirable:
English
(Advanced)
Remote
up to 90%
Description
Data analysis
Translating requirements for the IT side
Requirements
Python, SQL
SAS
Experience in the context of analytical data warehouse projects or management information systems
Mainframe experience
Fluent German and English language skills