Data Analytics Engineer
virtual vocationsDenver (CO)
Data Analytics Engineer
Posted today
virtual vocationsDenver (CO)
SENIORITY
Senior
About the role
As the first dedicated Customer Support Data Analytics Engineer, this full-time remote position will manage the development of data models, metric design, and dashboard reporting while collaborating with various teams to enhance customer support operations.
Key responsibilities:
Build and maintain reusable data models on Databricks, ensuring documentation and incremental logic are in place
Design and define customer support metrics, validating them against raw data before implementation
Develop end-to-end dashboards in QuickSight, providing actionable insights and monitoring key performance indicators
Required qualifications:
3+ years of experience as a Data Analytics Engineer in Customer Support or similar environments
Strong proficiency in SQL, dbt, and experience with BI and reporting tools like QuickSight or Power BI
Solid understanding of customer support metrics and contact-driver analysis
Ability to translate insights into operational changes for non-technical stakeholders
Curiosity about customer interactions and a focus on improving outcomes
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
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Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.