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RWE AG

Reporting Specialist (ServiceNow) (d/f/m)

RWE AG

📍 EssenStadtwerkeVollzeit🏢 Sehr große Unternehmen (>1.000 MA)

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Details

Unternehmen
RWE AG
Standort
Essen
Bereich
Stadtwerke
Vertragsart
Vollzeit
Unternehmensgröße
Sehr große Unternehmen (>1.000 MA)
Aktualisiert
20. Juni 2026

Geschätztes Gehalt (TVöD)

3.042 – 5.260 €

Entgeltgruppe E6-E10 · brutto/Monat

Schätzung basierend auf TVöD-VKA Entgelttabelle. Das tatsächliche Gehalt hängt von Eingruppierung und Erfahrungsstufe ab.

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Stellenbeschreibung

Reporting Specialist (ServiceNow) (d/f/m)

4.04.0 von 5 Sternen

Altenessener Straße 27, 45141 Essen

Link: (CompanyWebsite)

Gegründet: 1898 (CompanyFounded)

Mitarbeiteranzahl: mehr als 10.000 (CompanyEmployee)

Umsatz: mehr als 10 Mrd. EUR (CompanyRevenue)

Branche: Energie- & Versorgungswirtschaft (CompanyIndustry)

Stellenbeschreibung

Anstellungsart

Vollzeit

Arbeitsort

Altenessener Straße 27, 45141 Essen

Vollständige Stellenbeschreibung

Reporting Specialist (ServiceNow) (d/f/m)

Location(s):

Essen, NW, DE, 45141

RWE Supply & Trading GmbH

To start as soon as possible, full time / part time, permanent

Your Role

As a Reporting Specialist, you turn data into actionable insights. You partner with business stakeholders to understand their needs, design intuitive reporting solutions, and deliver scalable, high-quality analytics using modern cloud technologies.

Key Responsibilities

Translate business requirements into scalable reporting and analytics solutions, ensuring clear definitions of KPIs and metrics

Design and develop interactive dashboards and reports with strong focus on UX, storytelling, and usability

Build and maintain robust data models integrating multiple data sources (e.g., ServiceNow, etc.) using SQL and cloud technologies

Develop and operate end-to-end data pipelines across the Microsoft Fabric ecosystem (e.g., OneLake, Lakehouse, Data Warehouse, Data Science, etc.)

Leverage Microsoft Fabric capabilities (Power BI, Data Engineering, Copilot and AI-driven capabilities for automation and insights) for performant and scalable reporting

Apply modern analytics techniques, including AI-assisted insights, anomaly detection, and predictive analytics where relevant

Ensure data quality, consistency, and governance in alignment with enterprise standards and regulations

Manage the full reporting lifecycle: requirements gathering, design, development, testing, deployment, and continuous improvement

Collaborate with internal teams and external vendors, including conducting design reviews and ensuring quality assurance

Enable self-service BI and promote data literacy across the organization (training, documentation, best practices)

Automate reporting processes using tools such as Power Automate and integrate reporting into business workflows

Your Profile

Strong expertise in data visualization and user-centric dashboard design

Proven experience gathering and refining reporting requirements with business stakeholders

Solid understanding of Objectives Key Result (OKR) methodologies and experience translating strategic objectives into measurable performance indicators and reporting structures

Solid background in data modelling and SQL, including working with complex, multi-source datasets

Hands-on experience with Microsoft Fabric (Power BI, Data Engineering, Data Science, etc.)

Experience integrating data from enterprise platforms such as ServiceNow

Understanding of data architectures and cloud-based analytics environments

Familiarity with ITIL processes and enterprise data structures (e.g., CMDB)

Strong problem-solving skills and ability to work independently and prioritize effectively

Excellent communication skills and ability to collaborate across all organizational levels

Fluency in English and German

Nice to Have

Certifications in Microsoft Fabric, Power BI, or Azure Data (e.g., PL-300, DP-600)

Hands-on experience with advanced analytics, machine learning, or AI-driven BI solutions

Experience with data governance, security, and compliance frameworks

Exposure to modern data architectures (Data Mesh, event-driven systems)

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