About This Role
Dyson seeks a Senior Analytics Engineer in Singapore to leverage data from various sources, build ETL pipelines, and provide actionable insights across the business value chain.
Responsibilities
- Harvest, blend, and prepare consolidated datasets for BI/analysis.
- Support business data requests by querying data and identifying enhancement opportunities.
- Build automated ETL pipelines to support the Data Science function.
- Translate data analytics into business-relevant information for stakeholders.
- Orchestrate ETL across existing datasets applying necessary business logic.
- Investigate data relevance, completeness, and accuracy.
Requirements
- 3-5 years' experience querying, joining, and extracting data for business insights.
- Proven track record in data cleansing and blending (internal/external).
- Working experience with cloud-based platforms.
- Comfortable querying modern cloud databases (e.g., Big Query, Snowflake).
- Degree in quantitative field or equivalent experience.
- Self-driven with strong problem-solving abilities.
- Excellent communicator and collaborator across teams.