4 Data & BI Specialist Jobs in der Steiermark
Ihre Aufgaben:
- Erfassung und Spezifizierung von Datenschnittstellen in Zusammenarbeit mit IT, Controlling und Instandhaltung.
- Erstellung von Visualisierungen (z.B. in SAC, Power BI), um die Produktivität in der Produktion nachhaltig zu steigern.
- Zusammenführung und Standardisierung von Daten aus verschiedenen Quellen, wie Maschinenschnittstellen und ERP-Systemen.
- Umsetzung von Kommunikationsstandards (z.B. OPC-UA) mit SPS-Grundkenntnissen.
- Erstellung von Schicht-, Tages- und Monatsberichten, die zentral abrufbar sind.
- Datenaufbereitung zur schnellen Problemlösung.
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Be part of our team!
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Analyze pricing performance, by diving into quotes, orders, and customer data to uncover pricing opportunities and trends -
Build predictive models, where you are developing pricing forecasts and models that support strategic decision-making -
Contribute to pricing initiatives and evaluate their impact on profitability and customer value -
Collaborate across teams and work closely with sales, controlling and product teams to align pricing with market dynamics -
Improve tools & processes to refine pricing tools and ensure pricing logic reflects real-world customer behavior -
Present clear, actionable insights to management and stakeholders
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Be part of our team!
- Data extraction and transformation: Connect to data sources (SAP FI/CO, BW, Data Fabric, Excel-based repositories), extract relevant data sets, and prepare them for analysis and reporting.
- Analytics & reporting: Build standardized reports and dynamic dashboards (Power BI, Tableau, or similar) to support functional and management-level decision-making.
- Automation & scripting: Streamline and automate manual reporting tasks using Python, Power Query, or other tools to reduce effort and increase reliability.
- Be the data guardian: Regularly validate data quality, spot inconsistencies, and proactively address reporting issues before they become problems.
- Collaborate across the map: Work with mainly Functional Corporate Controllers as well as BU, and Plant levels - across multiple countries — to ensure a consistent and unified view of performance.
- Drive continuous improvement: Constantly look for ways to make our data landscape faster, smarter, and more resilient. Act as the first point of contact for data governance issues and reporting improvement initiatives.
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