Data Analytics & Insights Engineer

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.

2.DataPipeline&ETL Management

• 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.

3. Visualization&Reporting

• 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.