Role Overview
The role requires a data analyst with experience in advanced Python and SQL, AI tools, data visualization, and time series analysis. The analyst will work with RF planning and performance teams to validate findings and build clear, repeatable scorecards and dashboards.
What You Will Do
The analyst will perform time series analysis, anomaly detection, and geospatial analytics on large, network-scale datasets. They will also evaluate AI tool behavior and provide insights to RF planning and performance teams.
Why It Might Be a Fit
The ideal candidate will have experience with RF planning/troubleshooting tools, drive test data, and crowdsourced network data. They will be able to validate findings with RF planning and performance teams and have experience building clear, repeatable scorecards and dashboards.
Requirements
- Advanced Python and SQL against large, network-scale datasets
- Experience using AI tools for analytics work
- Experience with data visualization tools including Looker
- Time series analysis and anomaly detection: KPI trends, seasonality, and degradation patterns
To apply for this job please visit linkedin.com.
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