Dyson is a global technology enterprise. We solve the problems others choose to ignore with surprising new inventions that defy convention and simply work better. Were growing fast and our ambition is huge more categories more locations and more people.
Revenue Analytics & Insights is part of the global data function. We are a team of doers supporting commercial activities (sales and marketing) and the entire value-chain from logistics to post-sales customer experiences with data and insights. With access to a variety of disjointed data sets our responsibility covers the data journey spectrum from identification and acquisition to modelling and visualization.
The role of Senior Analytics Engineer requires hands-on experience with leveraging data from a wide selection of data sources from different technologies (e.g. SQL Big Query etc.) and a keen understanding of data models and ETL processes.
Main responsibilities include but not limited to:-
Work with existing data sources harvest blend and prepare consolidated data sets for Business Intelligence or analysis
Support data requests from all areas of the business by querying existing data and identifying opportunities to enhance insights by using outside data sources
Support the Data Science function by building automated ETL pipelines for modelling
Quickly pick up the business processes to provide business partnering excellence with reporting stakeholders
Translate data analytics for business stakeholders
Orchestrate ETL across existing data sets
Apply business logic transforming raw data to a business relevant information source
Investigate data relevance completeness and accuracy
Coordinate with global data teams for new data requests or existing data inconsistencies
Provide proactive communication with stakeholders
To be successful in this role you will be a self-driven individual with drive to solve customer problems and the ability to interact and collaborate with analytics teams non-analytics teams in markets and the wider business. You are a team player and good communicator who has the drive to understand the entire data landscape passion to understand the business and filling gaps where they exist.
Previous skills & experience:-
3-5 years experience querying joining and extracting data along with building meaningful business insights
Proven track record in data cleansing and blending (internally and externally) to drive richer insights
Working experience with cloud-based platforms. Comfortable querying modern cloud databases (e.g. Big Query Snowflake Redshift)
A degree in Statistics/Math/Information Systems or a science / engineering degree with a keen interest in data or equivalent on the job experience
Educational credentials are valued but innovation and excellence are essential
Knowledge of how to host automated ETL pipelines using Google Cloud Platform tools desirable
Python skills with a focus on data management and automation desirable
Knowledge of Data Science modelling desirable
Experience building functional dashboards (Tableau Power BI) desirable
Experience with dbt (Data Build Tool) desirable
Experience with code version control (e.g. Git) desirable
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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:
Senior IC
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