About the Role
Youll play a hybrid role bridging data engineering and data science leveraging data from a broad range of sources (e.g. BigQuery Redshift) and applying advanced analytics to generate actionable business insights. Using tools like Python SQL dbt and visualization solutions youll acquire clean and blend data design robust ETL pipelines and build models that drive Dysons decision-making.
Youll partner directly with teams across the business to deliver practical recommendations support high-impact analytics and enable self-service solutions. As part of our innovative culture you will stay ahead of industry trends experiment with new methodologies and shape how Dyson uses data.
Key Responsibilities
Acquire cleanse and blend data from multiple sourcesinternal and externalto enable advanced analytics.
Build and maintain scalable ETL processes and data models for dashboards applications and analytics projects.
Design develop and deploy machine learning models and statistical analyses to address business problems.
Support the BI function by powering dashboards enabling self-service analytics and managing business-facing applications.
Collaborate with data product managers and stakeholders to frame problems gather requirements and offer actionable recommendations.
Deliver end-to-end data solutionsfrom pipeline development and model training to visualization and insight communication.
Regularly explore new technologies and approaches in data engineering and data science.
Person Specification / Core Competencies
Minimum 5 years experience extracting joining and analyzing data including supporting advanced analytics and modelling.
Logical solution-oriented mindsetcurious and driven to solve business and customer challenges.
Strong communicator able to build compelling stories from complex or sparse data.
Proven ability to collaborate with local analytics teams Group Data Function and wider stakeholders.
Self-motivated with capacity to deliver practical results in short timeframes.
Essential Skills
Degree in Computer Science Data Science Business Analytics or a science/engineering field or equivalent experience.
Strong Python skills for data manipulation automation and model development.
Comfort working with cloud-based platforms (e.g. BigQuery Redshift); experience querying modern cloud databases.
Experience with dashboard tools (Tableau Looker) and very strong Excel skills.
Hands-on experience in data cleansing blending and preparing data for modelling and analysis.
Track record building machine learning pipelines and working with statistical methods.
Experience building automated ETL pipelines including deployment on cloud platforms.
Ability to explain complex data models and analytics to business audiences.
Nice to Have
Finance or product costing analytics experience.
SAP data extraction know-how.
Experience hosting ETL pipelines on Google Cloud Platform tools.
dbt Airflow Docker experience.
App development (App Engine PowerApps) advanced visualization techniques.
Familiarity with requirement gathering and solution design alongside end users.
Real Impact
This role empowers Dyson to use data and analytics to solve business challenges speed up decision-making and push the boundaries of innovation. Youll help definenot just supporthow Dyson finds and applies insight.
Dyson is an equal opportunity employer. We know that great minds dont 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.
Required Experience:
IC
About the RoleYoull play a hybrid role bridging data engineering and data science leveraging data from a broad range of sources (e.g. BigQuery Redshift) and applying advanced analytics to generate actionable business insights. Using tools like Python SQL dbt and visualization solutions youll acquire...
About the Role
Youll play a hybrid role bridging data engineering and data science leveraging data from a broad range of sources (e.g. BigQuery Redshift) and applying advanced analytics to generate actionable business insights. Using tools like Python SQL dbt and visualization solutions youll acquire clean and blend data design robust ETL pipelines and build models that drive Dysons decision-making.
Youll partner directly with teams across the business to deliver practical recommendations support high-impact analytics and enable self-service solutions. As part of our innovative culture you will stay ahead of industry trends experiment with new methodologies and shape how Dyson uses data.
Key Responsibilities
Acquire cleanse and blend data from multiple sourcesinternal and externalto enable advanced analytics.
Build and maintain scalable ETL processes and data models for dashboards applications and analytics projects.
Design develop and deploy machine learning models and statistical analyses to address business problems.
Support the BI function by powering dashboards enabling self-service analytics and managing business-facing applications.
Collaborate with data product managers and stakeholders to frame problems gather requirements and offer actionable recommendations.
Deliver end-to-end data solutionsfrom pipeline development and model training to visualization and insight communication.
Regularly explore new technologies and approaches in data engineering and data science.
Person Specification / Core Competencies
Minimum 5 years experience extracting joining and analyzing data including supporting advanced analytics and modelling.
Logical solution-oriented mindsetcurious and driven to solve business and customer challenges.
Strong communicator able to build compelling stories from complex or sparse data.
Proven ability to collaborate with local analytics teams Group Data Function and wider stakeholders.
Self-motivated with capacity to deliver practical results in short timeframes.
Essential Skills
Degree in Computer Science Data Science Business Analytics or a science/engineering field or equivalent experience.
Strong Python skills for data manipulation automation and model development.
Comfort working with cloud-based platforms (e.g. BigQuery Redshift); experience querying modern cloud databases.
Experience with dashboard tools (Tableau Looker) and very strong Excel skills.
Hands-on experience in data cleansing blending and preparing data for modelling and analysis.
Track record building machine learning pipelines and working with statistical methods.
Experience building automated ETL pipelines including deployment on cloud platforms.
Ability to explain complex data models and analytics to business audiences.
Nice to Have
Finance or product costing analytics experience.
SAP data extraction know-how.
Experience hosting ETL pipelines on Google Cloud Platform tools.
dbt Airflow Docker experience.
App development (App Engine PowerApps) advanced visualization techniques.
Familiarity with requirement gathering and solution design alongside end users.
Real Impact
This role empowers Dyson to use data and analytics to solve business challenges speed up decision-making and push the boundaries of innovation. Youll help definenot just supporthow Dyson finds and applies insight.
Dyson is an equal opportunity employer. We know that great minds dont 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.
Required Experience:
IC
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