Tasks:
- * Analyze infrastructure operations data
- * Build and maintain dashboards and self service reporting
- * Deliver SQL and Python analysis from raw data to actionable insights
- * Detect trends and anomalies in operational data
- * Document data sources, dashboards, and metric definitions
- * Establish baseline metrics and data quality checks
- * Manage analytics requests from technical teams
- * Partner with data engineers on data models and pipelines
Perks/Benefits:
- + 401k retirement plan
- + Dental insurance
- + Employee assistance program
- + Health savings account
- + Life insurance
- + Medical insurance
- + Paid time off
- + Remote work
- + Short and Long Term Disability
- + Transportation benefits
- + Vision insurance
Skills/Tech stack required:
[AI Assisted Development] [AI-Assisted Development Tools] [Anomaly Detection] [Asset Inventory] [Asset inventory data] [Dashboard Development] [Data Analysis] [Data Modeling] [Data Pipelines] [Data Quality] [Data Visualization] [Data Warehouses] [Descriptive Statistics] [Development tools] [Endpoint telemetry] [Infrastructure analytics] [Inventory Data] [Large-scale] [Large Scale Data] [Large-scale data warehouses] [Network telemetry] [Operational statistics] [Pandas] [Power BI] [Python] [Sampling] [Self-Service] [Self-service analytics] [Service analytics] [Significance Testing] [SQL] [Tableau] [Trend analysis] [Window Functions]
Educational requirements:
N/A
Role(s):
[Analyst] [Data Analyst] [Data Scientist] [Infrastructure] [Infrastructure Data Scientist] [Operations] [Operations Data Analyst] [Scientist]