Description
In this role, you will collaborate closely with the business executives from manufacturing and hardware design to analyze and monitor component data, improve manufacturing processes, and enhance predictive maintenance capabilities. Your data driven insights will directly influence warranty strategies, product quality, ensuring a smooth end-user experience. You will work in the team of experienced data scientists and data engineers, where your main responsibility is to deliver insightful, facts based responses to ad hoc analytics requests by the business leaders and other key stakeholders, utilizing AWS datalake, Athena, Sagemaker, Quicksight and DBT.
Required Skills & Experience:
- 4+ years of professional experience in data analytics or data science, experience in ad hoc analytics and providing decision support for business executives
- Strong proficiency in SQL, familiarity with AWS data and analytics tools
- Solid understanding of data-driven decision-making and statistical analysis
- Strong communication skills (written and verbal) with ability to explain insights to technical and non-technical audiences
- Experience with Python for data analysis(preferred)
- Familiarity with advanced analytics, e.g. predictive maintenance techniques and/or anomaly detection (advantageous)
- Background in hardware, manufacturing, or related industries (preferred)
- Proven track record of effective collaboration with cross-functional and international teams
- Detail-oriented and able to manage multiple parallel projects and stakeholders