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Cisco Data Analytics Solution Architect India, Karnataka, Bengaluru 6952519
09.09.2025
You will be working with -
- Internal Teams -Business architects, manufacturing engineers, supply chain operations, database architects, and analytics developers.
- Stakeholders - Manufacturing leaders, process owners, IT, and data governance teams.
- External Partners -Technology vendors (digital twin and analytics platforms), solution integrators.
- Coordinate with business architects and stakeholders to gather requirements for data, reporting, analytics, and digital twin solutions.
- Analyze business needs and design conceptual models for end-to-end BI and digital twin implementations.
- Translate requirements into technical specifications for digital twin and analytics initiatives.
- Engineer data pipelines and models integrating sensor, MES, and IoT data from manufacturing operations.
- Develop and maintain data marts and presentation views for digital twin outputs and business intelligence.
- Leverage business intelligence and visualization tools (Power BI, Tableau) to deliver insights from digital twin simulations.
- Generate analytics and reports to support operational decision-making and performance monitoring.
- Define, develop, and monitor digital twin KPIs (e.g., model accuracy, anomaly detection, downtime reduction, yield improvement, simulation cycle time, decision support utilization, integration coverage, cost savings, alert response time, and user adoption).
- Conduct reviews of digital twin KPIs, identify trends, and drive continuous improvement.
- Implement industry standards for data architecture, modeling, and process documentation.
- Evaluate, troubleshoot, and improve digital twin models and BI assets.
- Lead the full development lifecycle, including change management and production migration.
- Support database architects and developers in building real-time and historical manufacturing analytics systems.
- Create and maintain technical specification documentation and end-user training materials.
- Capture, analyze, and document business and technical requirements for digital twin and BI solutions.
- Design and implement data integration, modeling, and presentation layers for manufacturing analytics.
- Develop actionable analytics and performance reports for semiconductor manufacturing.
- Define and track digital twin KPIs, driving operational improvement and value measurement.
- Ensure standard methodologies in data architecture, modeling, and process documentation.
- Lead solution lifecycle, including testing, deployment, and ongoing enhancement.
- Deliver training and support for analytics tools and digital twin platforms.
- 7-10 years of experience in data and business intelligence implementation, with 3-5 years focused on Supply Chain Operations, Digital Twin Implementation, or Manufacturing.
- Bachelor's degree or equivalent experience in Data Science, Computer Science, Engineering, or related field.
- Proficiency in data analysis languages (Python, R, SQL) and visualization platforms (Power BI, Tableau).
- Experience with digital twin tools and concepts in a manufacturing environment.
- Demonstrable understanding of semiconductor manufacturing process flows and equipment data.
- Experience with Siemens Digital Industries (Tecnomatix, MindSphere), PTC ThingWorx, Dassault Systèmes 3DEXPERIENCE, or Ansys Twin Builder.
- Experience developing and optimizing digital twin models in manufacturing.
- Good interpersonal skills and ability to work effectively in multi-functional teams.
- Demonstrated ability to translate business needs into technical solutions.
- Experience developing end-user training for analytics and digital twin platforms.
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