T Hub - Data Analyst (IoT Automation Team)

WHAT TASKS AWAIT YOU?

• Define and implement service quality KPIs (e.g., success/response rate, round-trip time, availability, stability, DL/UL speed, utilization).
• Build and maintain E2E monitoring - dashboards, and alarms across multiple data sourcesDesign and operate data pipelines (Logstash, Python)
• Implement and tune ML anomaly detection function (elastic search)
• Build knowledge base (document own/team work)
• Collaborating in an international environment.
• Query, correlate, and visualize large log/telemetry datasets in Elastic (Elasticsearch/Kibana) and via KQL where applicable.
• Develop and maintain Logstash pipelines and Python for ingestion, enrichment, and quality checks.
• Build KPI dashboards and alerting for E2E service chains; tune alert thresholds to reduce noise.
• Analyze Sigos/GlobalRoamer etc active test data and correlate with passive network data (ELK, performance counters).
• Create ad hoc analyses for incidents and problem investigations; provide clear, time-bound findings.
• Prepare weekly/monthly KPI packs and executive summaries; automate where possible.
• Maintain data documentation.
• Handle analytics-related tickets and changes in SM/CRM tools and Jira.

Working at T Hub will offer you an unique and highly rewarding experience on IT market. As a leader in the telecommunications industry, we do not only provide a platform to hone your technical skills but also empower you to be a catalyst for innovation.

You'll have the opportunity to work at the forefront of modern technologies, from 5G to IoT and AI, shaping the future of connectivity.

WHAT SKILLS WILL BE APPRECIATED?

• Experience: 3+ years as a Data Analyst/BI/Monitoring Analyst or similar, working with large-scale log/telemetry data.
• Elastic Stack: strong hands-on with Elasticsearch (indexing, mappings, queries, performance), Kibana (visualizations, Lens, Canvas), Logstash (pipelines, filters, grok/regex).
• AI Assistance experience.
• Jira/Confulence knowledge
• Programming: Python for data processing/automation (pandas, numpy; basic CLI/scripts).
• Query languages: KQL (Kusto) experience for Log Analytics/Azure Data Explorer or similar environments.
• Data visualization and KPI design for operational monitoring/alerting.
• Data modeling for logs/time-series; data quality and validation practices.
• Version control and collaboration: Git, Jira/Confluence.
• Working in Linux environments; basic Bash helpful.

Nice-to-have skills:

• Telecommunications domain: 2G/3G/4G/5G basics; EPC/5GC concepts; APN, RADIUS, DNS, Diameter fundamentals.
• Monitoring and active testing tools: Sigos/GlobalRoamer (or similar platforms).
• Ticketing/ITSM: HP Service Manager (or similar), SLA reporting.
• CheckMK experience.
• Additional observability stacks: Grafana/Prometheus, Elastic Beats, Elastic APM.
• Applied analytics/ML for anomaly detection, forecasting.

Others:

• On-call support up to 5 weeks per year.
• Planned maintenance during night shifts up to 6 times per year.
• Occasional business travel up to 4 times per year.