Description

You will execute end-to-end analytics projects to accelerate issue identification, resolution, and product quality improvement. This role is on-site.

Responsibilities

• Execute end-to-end analytics projects including data exploration, structuring, modeling, and delivering actionable recommendations.
• Develop and implement methodologies for early issue detection, forecasting, and performance prediction.
• Analyze data from multiple sources such as warranty records, equipment logs, customer feedback, and manufacturing data.
• Partner with engineers, architects, and data scientists to design and deploy advanced analytics solutions.
• Work independently and collaborate with cross-functional teams globally to improve product uptime and quality.

Required Skills

• Strong proficiency in Power BI for data visualization and reporting.
• Hands-on experience with SQL, Python, and R for data manipulation and analysis.
• Experience using cloud analytics platforms, Jupyter Notebook, and Apache Spark.
• Working knowledge of machine learning techniques (supervised and unsupervised), including clustering, regression, classification, and anomaly detection.
• 5+ years of experience solving technical problems in a quality-focused environment.
• Bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics, or a related field (Master’s preferred).

Key Skills

Education

Any Graduate