Data Insights Engineer — Pipelines & Dashboards

Dyson Operations Pte Ltd; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Dyson is seeking a Data Analytics & Insights Engineer to drive data preparation, analytics, and dashboard development. You will transform complex data into actionable insights for engineering and product teams, at the intersection of data engineering and analytics.

You will build reliable data products and visualizations using Python, SQL, BigQuery, Tableau, and Streamlit to enable data‑driven decisions across Dyson's product lifecycle.

Qualifications

• Strong proficiency in Python and SQL for data analysis and manipulation.
• Experience with cloud data platforms, preferably BigQuery, GCP, and AWS S3.
• Hands-on experience building and maintaining ETL/data pipelines.
• Experience with data visualization and dashboards (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

• Analyze product, engineering, and machine data to generate actionable insights.
• Translate stakeholder requirements into analytical frameworks, KPIs, metrics, and outputs.
• Develop Python and SQL-based analyses to support decision-making.
• Identify trends, anomalies, opportunities, and performance drivers via data analysis.
• Present findings and recommendations to stakeholders.
• Design, develop, and maintain dashboards using Tableau and/or Streamlit.
• Create visualizations that communicate product performance and usage trends.
• Enable self-service analytics for stakeholders through intuitive reporting.

Skills

Python

SQL

Analytical thinking

Stakeholder management

Communication

Tools

BigQuery

GCP

AWS S3

Tableau

Streamlit

ETL tooling

Job description

Dyson is seeking a Data Analytics & Insights Engineer to drive data preparation, analytics, and dashboard development. You will transform complex data into actionable insights for engineering and product teams, at the intersection of data engineering and analytics.

You will build reliable data products and visualizations using Python, SQL, BigQuery, Tableau, and Streamlit to enable data‑driven decisions across Dyson's product lifecycle.