Manager of Analytics Engineering
virtual vocationsDenver (CO)
About the role
To support data-informed decision-making, the full-time Manager of Analytics Engineering will develop and maintain core data models and infrastructure, enabling self-service analytics while collaborating with business stakeholders.
Key Responsibilities:
Collaborate with business teams to gather requirements and deliver scalable data products
Design and implement a centralized data layer to harmonize data across multiple platforms
Develop and document data transformation processes within a governed metadata framework
Required Qualifications:
BA/BS or higher in Computer Science, Data Science, or a related field
4-6 years of relevant work experience in data engineering or analytics
Proficiency in SQL and experience with scripting languages such as Python or R
Familiarity with DAG-based pipeline design and version control systems like Git
Hands-on experience with data build tools (e.g., dbt) is a plus
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
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.
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