Data Analytics & Insights Engineer

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

Job summary

Dyson GmbH is seeking a Data Analytics & Insights Engineer to drive data preparation, analysis, pipeline management and dashboard development. You will transform complex data into actionable insights for engineering and product teams, enabling informed decisions through reliable data products and scalable solutions.

You will build ETL workflows, automate pipelines, and design visualizations with Tableau and Streamlit to communicate product performance and usage trends to stakeholders.

Qualifications

• > Proficiency in Python and SQL for data analysis and manipulation.
• > Experience with cloud data platforms (BigQuery, GCP, AWS S3).
• > Hands-on experience building and maintaining ETL pipelines.
• > Experience with data visualization dashboards (Tableau/Streamlit).
• > Strong analytical and communication skills.

Responsibilities

• > Analyze product, engineering, and machine data to generate actionable insights for Dyson.
• > Translate stakeholder requirements into KPIs, metrics, and outputs.
• > Develop Python and SQL analyses to support decision-making.
• > Identify trends, anomalies, opportunities, and drivers.
• > Present findings clearly to stakeholders.
• > Build and maintain end-to-end datapipelines (S3→GCS→BigQuery).
• > Create dashboards and visualizations to communicate performance and usage.

Skills

Python

SQL

ETL

Data viz

BigQuery

Tableau

Streamlit

Cloud

Data analysis

Tools

Tableau

Streamlit

BigQuery

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.DataAnalysis&Insights
• Analyze product,engineering, and machinedatato generate actionableinsights 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 andengineering decision-making.
• Identify trends, anomalies, opportunities, and performance drivers through exploratory and structureddataanalysis.
• Present findings and recommendations in a clear and meaningful manner to stakeholders.
• Support the setup, validation, and maintenance of end-to-enddatapipelines spanning:Amazon S3 → Google Cloud Storage (GCS) → BigQuery
• Build and maintain ETL workflows to create clean, reliable, and business-readydatasets.
• Automate pipeline processes and implement monitoring to ensuredataquality, reliability, and availability.
• Troubleshootdataissues and collaborate with technical teams to improvedataintegrity and scalability.
• Design, develop, and maintain dashboards usingTableauand/orStreamlit.
• Create visualizations that effectively communicate product performance,usagetrends, validation outcomes, and other operational metrics.
• Enable self-serviceanalyticscapabilities for stakeholders through intuitive reporting solutions.
• Ensure dashboards remain accurate, performant, and aligned with evolving business needs.

Required Skills&Experience

• Strong proficiency inPythonandSQLfordataanalysis anddatamanipulation.
• Experience working with cloud-baseddataplatforms, preferablyBigQuery,GCP, andAWS S3.
• Hands-on experience building and maintaining ETL/datapipelines.
• Experience withdatavisualization and dashboarding tools such asTableauand/orStreamlit.
• Strong analytical and problem-solving capabilities.
• Ability to translate business requirements into analytical solutions and actionableinsights.
• Excellent stakeholder management and communication skills.

Preferred Qualifications

• Experience working with productanalytics,engineering telemetry, or user/machinedata.
• Exposure todatawarehousing and modernanalyticsarchitectures.
• Familiarity withdataquality monitoring and automation practices.
• Experience supportingengineering, product, or R&D organizations.

Expected Outcomes

• The successful candidate will:
• Deliver meaningfulinsights from product andengineeringdatasets.
• Improve accessibility and visibility of key metrics through dashboards and reports.
• Ensure reliable, scalable, and high-qualitydatapipelines.
• Enabledata-driven decision-making acrossengineeringand 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.