תיאור המשרה
Analysis and optimization of raw/metadata according to the company requests
Development of dashboards, KPIs and metrics
Someone to come up with new ways to use our data to create value for our users
Someone to bring insights and suggestions to Product Managers, Sales, Customer Success, Management by conducting deep analysis and research
Ability to analyze and interpret needs, translating these needs into solutions and coordinate internal and external resources to accomplish results.
Work with our engineering teams to improve the visibility, serviceability, and quality of our product
Monitoring customers env. logs and product metrics to alert about changes/issues
Monitor customers on-prem and Cloud production environments
Collaborate with the internal R&D team to automate tasks wherever possible and implement a monitoring strategy to provide rapid feedback and diagnostics.
Create relationships with other departments, including Sales, Product Management, Engineering, and Customer Success, to make sure we provide services with high availability and superior performance for all our customers.
Familiarity and/or implementation experience with tracking and data collection techniques
Requirements:
דרישות התפקיד
4+ years of experience in SQL, data analysis and visualization
4+ years of strong scripting experience
Experience with monitoring tools such as DataDog, New Relic, Grafana, Prometheus
Understanding of statistical data
Self-learning and infinite curiosity
Strong troubleshooting and problem-solving skills
Experience with AZURE or other cloud solutions - an advantage
Kusto Query language – an Advantage
Experience working with Analytics tools
Excellent teamwork skills and the ability to work autonomously
Statistical analysis experience (e.g. Python)
Experience with Artificial Intelligence - an advantage
Data Analytics Engineer
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היקף משרה
מלאה
מודל עבודה
היברידי
תחום
אנליסט.ית