Data Analytics & Insights Engineer
At a glance
Mid-level Data Analysis & BI role at Dyson. Singapore - St James Power Station Headquarters · full-time.
Pay not stated Data Analysis & BI salary
dataroles summary, based on the employer's posting.
What you'll do
- Analyze product, engineering and machine data, then turn findings into useful guidance for engineering and other teams
- Convert stakeholder needs into KPIs, measures and analytical outputs that support business and engineering decisions
- Build and maintain ETL workflows that prepare dependable datasets across Amazon S3, Google Cloud Storage and BigQuery
- Automate pipeline checks and monitoring, resolving data problems with technical teams to protect data quality
- Create Tableau or Streamlit dashboards that show product performance, usage patterns and operational measures
What you bring
- Strong Python and SQL skills for examining and transforming data
- Hands-on experience creating and maintaining ETL or data pipelines
- Experience with cloud data platforms, ideally BigQuery, GCP or AWS S3
- Practical background with Tableau or Streamlit for dashboards and data visualization
Who this fits
This role suits someone who can move between data engineering and analysis, and explain findings clearly to stakeholders. You’ll support engineering and product decision-making through data pipelines, analysis and dashboards in a Singapore-based role.
From the employer
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.
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.
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