Project details
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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.
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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)
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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.
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Business Analyst for Digitalization in the Insurance Industry (m/f/d)
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- 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
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(Senior) Cloud Data Engineer (m/f/d) with focus on Azure
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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:**
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- Identification of weaknesses, risks, and inefficiencies in data collection, processing, and reporting.
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- Development of functional specifications and business requirements for adapting or implementing IT systems (e.g., P&L engines, data warehouses).
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- Creation of training materials and delivery of workshops for business units (trading, controlling, risk).
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- Methods: Business Process Model and Notation (BPMN 2.0), agile project management (Scrum/Kanban).
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- 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%.
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- User adoption rate: acceptance of new processes/tools by the business >80% after 3 months.
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- 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.
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- Milestone 1: Completed as-is analysis and process documentation.
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Freelance Clinical Data Manager (m/f/d)
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- Creation and review of the Data Management Plan (DMP) and the Data Validation Plan (DVP).
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- Conducting SAE reconciliation (matching serious adverse events).
- Preparation and execution of database locks after data collection is complete.
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- Standards: CDISC (SDTM, ADaM), GCP (Good Clinical Practice), 21 CFR Part 11.
- Collaboration tools: MS Teams, Jira, Confluence.
- Data visualization: Tableau, Power BI.
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- 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%.
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- 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.
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- Finalized and approved Data Management Plan (DMP).
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- Final architecture document (Solution Architecture Document) for the database solution.
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Consulting in the area of Reporting X-Sell, Development & Retention
Industry
Telecommunication
Areas
Business Intelligence
Marketing
Project info
- Period01.08.2024 - 31.12.2024
- Capacityfrom 90%
- Daily rate750 - 850€
- LocationKarlsruhe, Germany
- Languages Essential:
- German(Advanced)
Desirable:- English(Advanced)
- German
- Remotefrom 99%
Description
Building daily reports for steering existing customer marketing (X-Sell, Development & Retention) via the online channels (Control-Center App & Web).
When steering sales measures for existing customers in the online channel (Control-Center App & Web), new regular reports are introduced to measure the efficiency and accuracy of existing and new measures in a timely and continuous manner. The sales success of these measures is reflected in all business transactions in the existing customer business (X-Sell, Development & Retention) and all products. Depending on the use case, specialized reports and KPIs must be created.
Within the scope of this engagement, the following reports are to be created:
Cross-channel: Daily Active Users in the channel including conversion rate in all business transactions This report measures the number of active customers who have been targeted by a sales action, as well as their shares in company-relevant segmentations (by product ownership, cancellation status, online activity, customer age). Furthermore, the conversion rate regarding sales successes is determined per active customer to establish and optimize the effectiveness of the actions. This report is provided for a weekly steering committee with board involvement.
X-Sell: Campaign / offer performance compared to plan, as well as concrete prioritization of offer delivery A standard report should be created for precise steering of the X-Sell campaigns across all products, starting with Small Screen. As technical input, a quantitative planned number per campaign or delivery is provided and attributed as precisely as possible to the actual orders to accurately steer the performance of individual campaigns.
Development & Retention: For these business transactions, a standard report should be created that evaluates daily traffic, funnel depth, and final conversion across products based on customer page movements in the existing customer shop.
How should the service be delivered?
The final reports should be provided in Power BI on the client's reporting server and designed for regular and interactive use. The contents relevant for steering committees should be made available in an easily exportable format in PowerPoint or Excel.
The data supply for the reports should be retrieved via SQL queries from the central Data Warehouse (SQL Server). Prototype SQL queries already exist for most requested reports; these must be technically and functionally reviewed and optimized during the project phase in coordination with internal knowledge holders, and implemented in regularly maintained queries (including "code-level" documentation). The data supply for page movements and funnels (especially in the BK funnel) comes from another, not combinable data source, Adobe Analytics.
In addition to the above documentation, a documentation should be provided in the team's Confluence area that documents report usage for end users and discloses customization options and references to the data used for report developers.
Requirements
Where can the service be performed from: The location of service delivery can be freely chosen by the external resource; it can be performed both remotely and at the project site 76135 Karlsruhe, Hinterm Hauptbahnhof 3. For the first project phase of about 3 weeks, presence at the Karlsruhe site (Tuesdays – Thursdays) is strongly desired.
Required profile:
- Data Analyst, Data Scientist with subject matter understanding of online marketing and ideally telecom experience
MUST:
- SQL
- Power BI
- Basic statistical knowledge
- Technical expertise regarding online platform and telecommunications topics
Nice to have:
- Adobe Analytics
- Ad insertion / ad server
- Creation of online standard reports for channel management
English
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