About the Role
The position involves analyzing large-scale network datasets to detect anomalies, optimize performance, and support strategic decision-making through reporting and visualization.
Responsibilities
- Evaluate network performance using statistical and analytical methods
- Develop data models to predict network behavior and identify risks
- Translate technical findings into actionable business insights
- Collaborate with engineering teams to implement data solutions
- Monitor data pipelines for accuracy and reliability
- Create dashboards and reports for stakeholders
- Identify trends and irregularities in network traffic patterns
- Support capacity planning with data-backed forecasts
- Ensure data integrity across systems and sources
- Document analysis methodologies and workflows
- Optimize queries for large datasets
- Use machine learning techniques where applicable
- Maintain up-to-date knowledge of network technologies
- Participate in cross-functional planning sessions
- Improve data collection processes
- Validate results through testing and peer review
- Assist in defining key performance indicators
- Troubleshoot data discrepancies
- Integrate external data sources when necessary
- Support incident investigations with data analysis
- Apply data governance standards
- Enhance automation of reporting tasks
- Conduct root cause analysis on network events
- Present findings to technical and non-technical audiences
- Contribute to long-term data strategy
Compensation
Competitive salary based on experience
Work Arrangement
Hybrid work model with partial remote flexibility
Team
Collaborative team environment focused on data-driven network solutions
Technology Stack
- Uses Python, SQL, Kafka, Snowflake, Tableau, and cloud-based data platforms
- Works within containerized environments and CI/CD pipelines
Career Growth
- Opportunities to lead data initiatives and mentor junior analysts
- Access to training programs and industry conferences
Work Environment
- Dynamic setting with emphasis on innovation and data quality
- Regular team syncs and knowledge-sharing sessions
Available for qualified candidates
