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.

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.

OUR OFFER FOR YOU

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.

Benefits

No dress code - you can just be yourself here

Medical, sport and life insurance packages at preferential terms

Access to: Percipio, Coursera, Rodos learning platforms

Access to our products and services at preferential terms

Employment contract-based cooperation

Know Talent - receive training or financial bonus for recommending new employees

WHAT WILL YOUR RECRUITMENT PROCESS BE LIKE?

A fair approach to all people who want to join T Hub means that:

• The recruitment process is transparent;

• Our recruitment decision is based solely on an assessment of your skills (your race, skin color, sexual orientation, gender identity, origin, disability, political view, appearance, or religion will not have any influence on he outcome of the process):

• Regardless of the outcome of the process, you will get detailed feedback.

1. Let’s meet to better understand each other's expectations.

   Our screening meeting will last about 20-30 minutes. We will ask you about our areas of interest and will be happy to field any questions you may have.

2. Hiring Manager will receive a recommendation for your application.

   There’s nothing for you to do at this stage — we’ll take care of everything. During this time we process all the information we've gathered during the screening process and dig deeper into your CV.

3. Technical meetings with the Hiring Manager and/or team members.

   We will invite you to one or two project meetings to confirm that we have a ‘perfect match'. The meetings may last between 30 minutes and 90 minutes, during which time we will talk to you about mutual expectations and the vision for our collaboration. You will also most likely meet your future supervisor and your teammate during this time.

4. Time to decide!

   At this stage, we will have decided that you are the person we want to develop our projects with. We will then come back to you with an offer of collaboration, hoping for your "yes". If for some reason, we are unable to offer you a position in our team, you will certainly receive feedback from us explaining our decision.