AI-Analytics Data Analyst | Looker & Time Series Analytics

InfoVision Inc.

Irving (TX)

On-site

USD 110,000 - 150,000

Full time

3 days ago
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Job summary

InfoVision Inc. in Irving, TX is seeking a data analytics professional to apply Advanced Python and SQL to large telecom datasets, leveraging AI tools and Looker for analytics.

The role focuses on time-series analysis, anomaly detection, KPI trends, and degradation patterns, with a strong emphasis on RF planning data, drive tests, and crowdsourced network data. You will build clear, repeatable scorecards and dashboards for leaders and engineers, validate AI tool behavior, and collaborate with RF

Qualifications

  • Proficiency in Python and SQL for analyzing large, network-scale datasets.
  • Experience using AI tools for analytics work.
  • Experience with Looker or other BI visualization tools.
  • Strong time-series analysis, anomaly detection, and KPI trend interpretation.
  • Familiarity with RF planning/troubleshooting tools and drive test data.
  • Ability to validate findings with RF planning and performance teams.
  • Geospatial analytics experience.
  • Understanding of telecom/RAN KPIs.
  • Experience building clear, repeatable scorecards and dashboards for leaders and engineers.
  • Experience evaluating AI tool behavior, such as ticket-routing and root-cause classification.

Skills

Python
SQL
AI tools
Time series analysis
Anomaly detection
RF planning
Troubleshooting tools
Drive test data
Crowdsourced network data
Geospatial analytics
Telecom/RAN KPIs
Scorecards
Dashboards
BI tools
AI tool behavior evaluation
Ticket-routing
Root-cause classification

Tools

Looker

Job description

InfoVision Inc. in Irving, TX is seeking a data analytics professional to apply Advanced Python and SQL to large telecom datasets, leveraging AI tools and Looker for analytics.

The role focuses on time-series analysis, anomaly detection, KPI trends, and degradation patterns, with a strong emphasis on RF planning data, drive tests, and crowdsourced network data. You will build clear, repeatable scorecards and dashboards for leaders and engineers, validate AI tool behavior, and collaborate with RF

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