Senior Analytics Engineer

Posted 18 Days Ago
Headquarters, AZ
In-Office
Senior level
Appliances • Manufacturing
The Role
Build, orchestrate and maintain ETL pipelines, consolidate and cleanse data from multiple sources, support data science and business stakeholders with queries, insights and dashboards, and coordinate with global data teams to ensure data accuracy and availability.
Summary Generated by Built In
About Us

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. We’re 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.

About the Role

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

About You

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

#LI-VG1

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.

Top Skills

BigQuery
Dbt
Git
Google Cloud Platform
Power BI
Python
Redshift
Snowflake
SQL
Tableau
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The Company
Chicago, Illinois
13,356 Employees
Year Founded: 1993

What We Do

At Dyson we are focused on solving the problems that others have ignored; solving them first using our technology and ingenuity. In order to achieve this we need to pioneer technologies that are different and authentic. This is the core of what we do and who we are. We must strive to create the future, every single day by developing new things, different things, things that go against the grain with a diverse and global team of ingenious minds.

Dyson employs over 14,000 people and is present in more than 80 countries. And while we are growing fast we want Dyson to remain a start-up in spirit with the freedom of experimentation and learning, constantly reinventing our products as well as reinventing how we work, how we sell and how we support our owners. At the same time we are working through the James Dyson Foundation, James Dyson Award and Dyson Institute to inspire future engineers and pioneering a new approach to engineering education.

Underlining everything we do in this diverse environment is the need to always show respect, supporting each other as one team to overcome whatever challenges we encounter. We drive empowerment, development and equality in an inclusive environment for our people around the world.

The future doesn’t just happen, we look to make it happen, to achieve leaps through pioneering new ideas

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