What are the responsibilities and job description for the Data Analyst position at NextGen | GTA: A Kelly Telecom Company?
What the Team Works On
The team develops AI/ML solutions for wireless network performance, including:
- KPI anomaly detection engines
- Root Cause Analysis (RCA) tools
- FOA (First Office Application) performance analysis
- Software release validation
- Statistical comparison of pre- and post-software upgrades
- Predictive analytics
- Time-series forecasting
- Automated identification of degraded cell sites
- Correlation of KPI degradation with alarms, configuration changes, and software updates
Day-to-Day Responsibilities
The selected candidate will primarily:
- Analyze very large telecom datasets
- Build machine learning models
- Develop anomaly detection algorithms
- Perform statistical analysis and A/B testing
- Create predictive models
- Explore large datasets to identify trends
- Build dashboards and reporting solutions
- Collaborate with RF Engineers and RAN SMEs
- Research new ML techniques and implement best practices
- Develop automation tools for network performance analysis
Ideal Candidate Profile
The Hiring Manager is looking for someone with strong expertise across multiple disciplines.
Machine Learning
- Autoencoders
- Transformers
- Decision Trees
- Neural Networks
- Time Series Forecasting
- ARIMA
- Granger Causality
- Supervised and Unsupervised Learning
- Statistical Modeling
- A/B Testing
- Z-score Analysis
Data Science
- Data exploration
- Feature engineering
- Predictive modeling
- Large-scale data processing
- Research-oriented mindset
- Ability to choose the right model for the right dataset
Big Data
- High-volume telecom datasets
- Time-series data
- Multivariate data analysis
- KPI analytics
- Large-scale data processing
Technical Skills
Must Have
- Python (primary programming language)
- Machine Learning
- Artificial Intelligence
- Data Modeling
- Statistics
- Time Series Analysis
- AWS
- Databricks
- Linux
- SQL
- Strong research mindset