Data Analytics & Insights Engineer

Dyson Institute; Singapore; On-site; SGD 110,000 - 170,000; Full time

Job summary

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

The role emphasizes reliable data products, scalable solutions, and impactful visualizations using Python, SQL, BigQuery, and tools like Tableau or Streamlit.

Qualifications

• Strong Python and SQL for data analysis.
• Experience with cloud-based data platforms (BigQuery, AWS S3).
• Hands-on experience building ETL pipelines and dashboards.

Responsibilities

• Data Analysis & Insights: analyze product, engineering and machine data to generate actionable insights for Dyson; translate requirements into analytical frameworks and KPIs.
• Data Pipeline & ETL Management: set up, validate and maintain end-to-end pipelines across S3 → GCS → BigQuery; automate and monitor data flows.
• Visualization & Reporting: design and maintain dashboards to communicate performance and trends; enable self-service analytics for stakeholders.

Skills

Python

SQL

BigQuery

ETL pipelines

Tableau/Streamlit

Stakeholder management

Tools

Tableau/Streamlit

Job description

About Us

Dyson is a global technology company with a simple mission: solve problems others ignore. We pioneer radically better technologies across categories — from intelligent vacuums and haircare to connected purifiers and emerging product innovations. As Dyson products become increasingly intelligent, connected and insight driven, our digital and data capabilities enable us to deliver exceptional owner experiences, discover critical enterprise insights, and unlock new opportunities throughout the product lifecycle.

Role Summary

We are seeking 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 will enable informed decision-making through reliable data products, scalable data solutions, and impactful visualizations.

Key Responsibilities

1. Data Analysis & Insights: Analyze product, engineering, and machine data to generate actionable insights for Engineering and other teams within Dyson. Translate stakeholder requirements into analytical frameworks, KPIs, metrics, and business-ready outputs. Develop Python and SQL-based analyses to support business and engineering decision-making. Identify trends, anomalies, opportunities, and performance drivers through exploratory and structured data analysis. Present findings and recommendations in a clear and meaningful manner to stakeholders.


2. Data Pipeline & ETL Management: Support the setup, validation, and maintenance of end-to-end data pipelines spanning: Amazon S3 → Google Cloud Storage (GCS) → BigQuery. Build and maintain ETL workflows to create clean, reliable, and business-ready datasets. Automate pipeline processes and implement monitoring to ensure data quality, reliability, and availability. Troubleshoot data issues and collaborate with technical teams to improve data integrity and scalability.


3. Visualization & Reporting: Design, develop, and maintain dashboards using Tableau and/or Streamlit. Create visualizations that effectively communicate product performance, usage trends, validation outcomes, and other operational metrics. Enable self-service analytics capabilities for stakeholders through intuitive reporting solutions. Ensure dashboards remain accurate, performant, and aligned with evolving business needs.

Required Skills & Experience

• Strong proficiency in Python and SQL for data analysis and data manipulation.


• Experience working 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.

Preferred Qualifications

• Experience working with product analytics, engineering telemetry, or user/machine data.


• Exposure to data warehousing and modern analytics architectures.


• Familiarity with data quality monitoring and automation practices.


• Experience supporting engineering, product, or R&D organizations.

Expected Outcomes

The successful candidate will: Deliver meaningful insights from product and engineering datasets. Improve accessibility and visibility of key metrics through dashboards and reports. Ensure reliable, scalable, and high-quality data pipelines. Enable data-driven decision-making across engineering and other initiatives.

Equal Opportunity Statement

Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity. At Dyson we are focused on solving the problems that others have ignored; solving them first using our technology and ingenuity. In order to achieve this we need to pioneer technologies that are different and authentic. This is the core of what we do and who we are. We must strive to create the future, every single day by developing new things, different things, things that go against the grain with a diverse and global team of ingenious minds. Dyson employs 14,000 people and is present in more than 80 countries. And while we are growing fast we want Dyson to remain a start-up in spirit with the freedom of experimentation and learning, constantly reinventing our products as well as reinventing how we work, how we sell and how we support our owners. At the same time we are working through the James Dyson Foundation, James Dyson Award and Dyson Institute to inspire future engineers and pioneering a new approach to engineering education. Underlining everything we do in this diverse environment is the need to always show respect, supporting each other as one team to overcome whatever challenges we encounter. We drive empowerment, development and equality in an inclusive environment for our people around the world. The future doesn’t just happen, we look to make it happen, to achieve leaps through pioneering new ideas.