About the role
Data Analytics Engineer/Data Scientist role based on the published job description. Key responsibilities and requirements were extracted directly from the posting for quick review.
Consumer ElectronicsOnsite
Key Responsibilities
- Acquire, cleanse, and blend data from multiple sources—internal and external—to enable advanced analytics.
- Build and maintain scalable ETL processes and data models for dashboards, applications, and analytics projects.
- Design, develop, and deploy machine learning models and statistical analyses to address business problems.
- Support the BI function by powering dashboards, enabling self-service analytics, and managing business-facing applications.
- Collaborate with data product managers and stakeholders to frame problems, gather
Requirements
- , and offer actionable recommendations.
- Deliver end-to-end data solutions—from pipeline development and model training, to visualization and insight communication.
- Regularly explore new technologies and approaches in data engineering and data science.
- Person Specification / Core Competencies Minimum 5 years' experience extracting, joining, and analyzing data, including supporting advanced analytics and modelling.
- Logical, solution-oriented mindset—curious and driven to solve business and customer challenges.
- Strong communicator, able to build compelling stories from complex or sparse data.