Job Description:

This position requires office presence for a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.

As a Lead Advanced Analytics professional, you will dive deep into AT&T Business billing and revenue data to identify leakage and areas for optimizing revenue capture. This role requires engineering data from diverse sources and using advanced predictive modeling, statistics, and trend analysis. You will gather, analyze, and interpret diverse data sets to solve business problems, support decision-making, and generate actionable insights. Additionally, you will develop visualizations such as dashboards and reports, advise business partners on data patterns, and streamline operational procedures to enhance productivity and operational effectiveness.

Key Roles and Responsibilities:

• Data Analysis and Interpretation: Gather, analyze, and interpret diverse data sets to solve a variety of business problems, predict behaviors, and identify relationships, trigger points, and predictions. Proficient with relational databases (e.g., Oracle, PostgreSQL) and data warehouse storage solutions (e.g., Snowflake, Databricks Data Lake), utilizing sources such as internal and external data lakes and data warehouses (e.g., eCDW, BIDW).
• Statistical Methods and Decision Support: Apply advanced statistical methods to quantify data variances and employ traditional modeling techniques to support decision-making. Utilize tools such as Tableau, Palantir, PowerBI (AI Insights), Databricks, AWS, Azure.
• Bus...