Senior Analytics Engineer: Architect Scalable Data Models in Toronto

Senior Analytics Engineer: Architect Scalable Data Models in Toronto

Toronto Full-Time 121500 - 148500 $ / year (est.) On-site
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At a Glance

  • Tasks: Design and build scalable data models and pipelines for impactful analytics.
  • Company: Join ZoomInfo, a leader in Go-To-Market Intelligence.
  • Benefits: Enjoy competitive pay, flexible work options, and growth opportunities.
  • Other info: Be part of a dynamic team focused on innovation and excellence.
  • Why this job: Make a real difference by enhancing data quality and driving business decisions.
  • Qualifications: Experience in analytics engineering and strong collaboration skills.

The predicted salary is between 121500 - 148500 $ per year.

ZoomInfo, a leading Go-To-Market Intelligence Platform, is seeking a Senior Analytics Engineer to advance the maturity of our data organization. You will design, build, and own core data models and pipelines powering reports, BI, product analytics, and operational decision-making across the enterprise.

In this role, you’ll partner with Engineering, Product, Security, and business stakeholders to deliver scalable data solutions, establish data contracts, and improve data quality.

Senior Analytics Engineer: Architect Scalable Data Models in Toronto employer: ZoomInfo

At ZoomInfo, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As a Principal Software Engineer for Data Architectures, you will not only have the opportunity to work with cutting-edge technologies but also benefit from a supportive environment that encourages professional growth and development. Our commitment to employee well-being and a dynamic work atmosphere makes ZoomInfo a rewarding place to advance your career in the heart of a thriving tech community.

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Contact Details:

ZoomInfo Recruitment Team

We think you need these skills to ace Senior Analytics Engineer: Architect Scalable Data Models in Toronto

Data Modeling
Data Pipeline Development
Business Intelligence (BI)
Product Analytics
Operational Decision-Making
Collaboration with Engineering
Collaboration with Product Teams