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Business Intelligence Analyst

External
Renesaselectronics logoRenesaselectronics · Ho Chi Minh, Vietnam
Full-timeOn-site1w ago
BitbucketData AnalysisData ModelingExcelIoTPython
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Requirements

  • Experience with TIBCO Spotfire for data visualization and dashboard development.
  • Exposure to AI/ML concepts, frameworks, or predictive analytics.
  • Experience in semiconductor manufacturing or high-tech manufacturing environments.
  • Knowledge of statistical analysis and data modeling techniques.
  • Experience with version control systems such as Bitbucket
  • Technical Skills
  • Oracle Database
  • SQL / PL-SQL
  • Python
  • Data Analysis & Visualization
  • Spotfire (Preferred)
  • AI/ML Fundamentals (Preferred)
  • Performance Tuning
  • Bitbucket / Version Control
  • Semiconductor process/manufacturing analytics experience
  • Predictive maintenance or yield analysis exposure
  • Knowledge of cloud platforms
  • At Renesas, you can:
  • Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things.
  • Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people's lives easier, safe and secure.
  • Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day.
  • Are you ready to own your success and make your mark?
  • Join Renesas. Let's Shape the Future together.

Benefits

Remote work optionsFlexible schedule

Additional Information

Write complex SQL queries, performance-tuned scripts. Analyze large datasets to identify trends, anomalies, and actionable insights. Develop dashboards, reports, and visual analytics using Spotfire. Build scripts using Python. Collaborate with cross-functional teams including engineering, operations, and business stakeholders. Apply statistical analysis and AI/ML techniques to improve operational efficiency and predictive analytics. Document technical designs, processes, and analytical methodologies. Required Qualifications Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or related field. 2-4 years of work experience Strong proficiency in SQL query development. Experience with Python for data analysis, scripting, or automation. Strong analytical and problem-solving skills. Experience working with large-scale structured datasets. Excellent English communication and collaboration skills.


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