Analytics Engineer III

It’s exhilarating to find yourself at a pivotal moment in history— and even more so to be leading the way. At QTS Data Centers, we are proud to stand at the forefront of today’s dynamic digital transformation. Our world‑class data centers empower our customers’ most strategic growth initiatives, positioning us as a global leader in digital infrastructure. As AI and cloud technologies fuel the demand for increased speed, capacity, and innovation, QTS has emerged as the global digital infrastructure leader.

We are committed to connecting the globe for good. Driven by purpose and a spirit of innovation, we design, build, and operate some of the most advanced data centers worldwide. In addition to our cutting‑edge technology, we are dedicated to sustainability, incorporating renewable energy solutions to minimize our environmental footprint and drive meaningful impact. As a proud portfolio company of Blackstone, QTS is uniquely positioned to achieve ambitious growth and innovation goals.

At QTS, we are Powered by People. Our team members are the cornerstone of our culture, innovation, and growth. They are mission‑driven, resourceful, and committed to making a positive impact in the communities where we live and work. Together, we’re achieving remarkable things and shaping the future of digital infrastructure. And we’d like to invite you to join us.

• Roth and Traditional 401(k) matching contributions with immediate vesting
• Every employee is bonus or commission eligible
• Generous PTO, Paid Volunteer Days Plus Floating Holidays
• Stock Purchase Plan (SPP)
• 11 paid Holidays Annually/Holiday compensation when worked
• Pet and Legal Insurance
• Q-Rest Sabbatical Program
• Q-Anniversary Service Award Program
• Parental Leave for primary and secondary caregivers
• Military Benefits Package
• QTS Charitable Matching Gift Program
• QTS Scholarship for Employee Dependents
• QTS Crisis Fund
• Wellness Program
• Tuition Reimbursement Program

The Analytics Engineer III role is responsible for bridging the gap between data miners, product managers, and other Data Science & Engineering teams, and mentoring junior members of the analytics engineering team in designing analytics solutions in Snowflake. You’ll be providing expertise in data modeling and data warehousing concepts, and leveraging modern data stack technologies, including Snowflake and dbt, to drive actionable insights.

Your experience in improving data quality will help the business gain trust in the data.

• Monitoring, maintaining, and improving data integration logic running in the Snowflake Data Cloud.
• Design, implement, and optimize large‑scale data analytics solutions based on the Snowflake Data Warehouse, leveraging data to drive significant business impact.
• Utilize dbt to create data pipelines, manage transformations, and orchestrate data workflows.
• Providing expertise in data warehousing concepts, data modeling, and data lake architecture.
• Use SQL, Tableau, Python, or any combination of tools to develop rapid prototypes and educate stakeholders on analytics modeling.
• Provide expert advice and education in the usage and interpretation of data to other teams across Data Science, Data Engineering, and functional Business Units.
• Detecting data quality issues and their root causes.
• Evolving the way data is organized and maintained.

• Bachelor’s or Master’s degree in Business Analytics, Computer Science, Mathematics, or related fields; or equivalent experience.
• 5+ years experience using SQL.
• 2+ years of experience using dbt and Snowflake Data Cloud.
• 2+ years of experience working within a CICD framework.
• Advanced understanding of data warehousing concepts and modern data stack tools, specifically dbt and Snowflake Data Cloud.
• Working knowledge of SCRUM and Kanban Agile methodologies.

• Communication
  
  Skills:
  
  Effective communication of technical findings to non‑technical stakeholders is imperative.
• Business Acumen:
  Ability to translate data insights into actionable business recommendations.
• Problem‑Solving
  
  Skills:
  
  Analytical mindset to tackle complex data challenges.
• Agile Mindset:
  Adaptability to changing requirements…