Job Description
Job Description
- Collect, clean, and validate large volumes of engineering and operational data from diverse sources including sensors, simulation outputs, and enterprise systems.
- Develop and maintain dashboards and reports using tools such as Tableau, Power BI, or Python-based visualization libraries to monitor system performance and project KPIs.
- Perform statistical analysis and predictive modeling to identify patterns, root causes of failures, and opportunities for process optimization.
- Collaborate with design, manufacturing, and R&D teams to translate business and engineering requirements into data solutions.
- Automate routine data processing tasks using Python, SQL, or scripting languages to improve efficiency and reduce manual errors.
- Conduct A/B testing and experimental analysis to evaluate the impact of design changes or operational adjustments.
- Prepare ...