Data Analytics & Insights Engineer - Dashboards & Pipelines

Dyson GmbH; Singapore; Hybrid; SGD 90,000 - 130,000; Full time

Job summary

Dyson seeks a Data Analytics & Insights Engineer to drive data preparation, analysis, pipeline management, and dashboard development, transforming complex data into actionable insights for engineering and product teams.

Positioned at the intersection of data engineering and analytics, this role enables informed decision-making through reliable data products, scalable data solutions, and impactful visualizations.

Qualifications

• Strong proficiency in Python and SQL for data analysis and data manipulation.
• Experience with cloud-based data platforms, preferably BigQuery, GCP, and AWS S3.
• Hands-on experience building and maintaining ETL/data pipelines.
• Experience with data visualization and dashboarding tools such as Tableau and/or Streamlit.
• Strong analytical and problem-solving capabilities.
• Ability to translate business requirements into analytical solutions and actionable insights.
• Excellent stakeholder management and communication skills.

Responsibilities

• Develop Python and SQL-based analyses to support engineering and product decision-making.
• Identify trends, anomalies, opportunities, and performance drivers through data analysis.
• Present findings and recommendations to stakeholders in a clear manner.
• Set up, validate, and maintain end-to-end data pipelines spanning AWS S3, GCS/BigQuery.
• Build and maintain ETL workflows to create clean, reliable datasets.
• Automate pipeline processes and implement monitoring for data quality and availability.
• Design, develop, and maintain dashboards using Tableau and/or Streamlit.

Skills

Python

SQL

Data analysis

Data manipulation

ETL

Tableau

Streamlit

Tools

BigQuery

GCP

AWS S3

Job description

Dyson seeks a Data Analytics & Insights Engineer to drive data preparation, analysis, pipeline management, and dashboard development, transforming complex data into actionable insights for engineering and product teams.

Positioned at the intersection of data engineering and analytics, this role enables informed decision-making through reliable data products, scalable data solutions, and impactful visualizations.