Data Analyst

Job Summary:
We are looking for an experienced Senior Data Analyst with a strong background in the Internet Service Provider (ISP) domain, specializing in the analysis of SD-WAN data and security device alerts. This role is central to leveraging AI and Machine Learning for anomaly detection, predictive analytics, and performance optimization across large-scale ISP networks.
You will play a critical role in transforming raw network and security data into actionable intelligence that improves uptime, customer experience, and security resilience.
________________________________________
Key Responsibilities:

• Analyze high-volume data from SD-WAN components, routers, switches, and ISP-grade security appliances (e.g., firewalls, IDS/IPS, DDoS mitigation tools).
• Correlate network performance issues and security alerts to uncover patterns, detect anomalies, and support incident prevention.
• Design and implement AI/ML models for predictive maintenance, fault detection, traffic behavior analysis, and threat intelligence.
• Conduct root cause analysis (RCA) for network outages, degradations, and security incidents affecting customer services.
• Collaborate closely with NOC and SOC teams to deliver actionable insights for proactive monitoring and alerting.
• Develop and maintain visualizations and dashboards (e.g., using Grafana, Power BI, Tableau) to report on key metrics and trends.
• Ensure data quality, accuracy, and consistency across all network and security data sources.
• Identify data-driven opportunities for improving network performance, security posture, and customer satisfaction.
• Stay updated on industry best practices in AI/ML applications for ISP operations and cybersecurity.

________________________________________
Required Skills & Experience:

• Bachelor//'s or Master//'s degree in Data Science, Computer Science, Network Engineering, or a related field.
• 6+ years of experience in data analysis, with at least 3 years in the ISP or networking domain.
• Strong knowledge of ISP network architecture, SD-WAN, BGP, DNS, DHCP, NAT, and other core protocols.
• Hands-on experience with analyzing logs and alerts from security devices such as Fortinet, Cisco, Juniper, or Palo Alto.
• Proficient in Python, SQL, and data analysis libraries (e.g., Pandas, NumPy, Scikit-learn).
• Practical experience with machine learning models for classification, clustering, anomaly detection, and time-series forecasting.
• Experience working with SIEM tools and large-scale log data (e.g., ELK Stack, Splunk).
• Strong problem-solving, critical thinking, and stakeholder communication skills.

________________________________________
Preferred Qualifications:

• Background in large-scale ISP infrastructure monitoring and performance optimization.
• Familiarity with ISP platforms and services (e.g., DNS, CDN, PPPoE, IP Management).
• Experience with cloud networking tools (e.g., AWS/Azure network monitoring).
• Relevant certifications (e.g., CCNP, CompTIA Security+, AWS Certified Data Analytics).
• Exposure to big data tools (e.g., Spark, Hadoop) is a plus.

________________________________________
Why Join Us?

• Be a key part of enhancing ISP network intelligence with AI and ML.
• Work on impactful projects that support millions of users and critical internet services.
• Collaborate with top-tier engineers and data scientists in a data-first culture.
• Access to modern tools and the latest technologies in AI, network analytics, and security.