Description

In this position, you will apply both fundamental and advanced analytics techniques to accelerate issue identification and resolution. The role involves working across multiple product technologies and collaborating with cross-functional teams in a global environment.

Key Responsibilities

• Execute end-to-end analytics projects, including data exploration, structuring, modeling, problem-solving, and delivering recommendations
• Develop and implement methodologies to support early issue detection, forecasting, and performance prediction
• Analyze data from multiple sources such as warranty, equipment logs, customer feedback, and manufacturing data
• Contribute to improving product uptime and overall quality performance
• Work independently while also building strong cross-functional collaboration with global teams
• Partner with data analysts, engineers, architects, and data scientists to design and deploy advanced analytics solutions

Qualifications

• Bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics, or a related field (Master’s preferred)
• Experience solving technical problems in a quality-focused environment
• Strong proficiency in Power BI
• Hands-on experience with tools and technologies such as SQL, Python, R, cloud analytics platforms, Jupyter Notebook, and Apache Spark
• Working knowledge of machine learning techniques (supervised and unsupervised), including algorithms such as clustering, regression, classification, and anomaly detection

Key Skills

Education

Any Graduate