Senior Data Analytics Engineer
virtual vocationsDenver (CO)
Senior Data Analytics Engineer
Posted today
virtual vocationsDenver (CO)
SENIORITY
Senior
About the role
Delivering business-critical insights through analysis and visualization, the full-time Senior Data Analytics Engineer will support multiple departments by producing dashboards, ad-hoc analyses, and recurring performance reports in a remote setting.
Key responsibilities:
Analyze key business processes and KPIs to identify performance trends and opportunities for improvement
Design, build, and maintain dashboards and scorecards in Power BI or Tableau for monitoring KPIs
Automate reporting workflows using SQL and Python, ensuring data validation and troubleshooting with data engineers
Required qualifications:
3-5 years of experience in data analysis, business reporting, or business intelligence
Bachelor's degree in Business Analytics, Statistics, Economics, or a related field
Proficiency in Power BI or Tableau for dashboard development
Advanced skills in Excel, Python, and SQL for data analysis
Experience with Salesforce and HubSpot reporting 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.